<?xml version="1.0" encoding="utf-16"?>
<metadata><idinfo><citation><citeinfo><origin>Oregon Islands National Wildlife Refuge</origin><origin>U.S. Fish and Wildlife Service</origin><pubdate>20201231</pubdate><title>Oregon Islands National Wildife Refuge: Aerial Photography for Seabird Monitoring, 2000 Stitched Images Collection</title><geoform>Vector Digital Data Set (Point)</geoform><pubinfo><pubplace>Newport, Oregon</pubplace><publish>U.S. Fish and Wildlife Service</publish></pubinfo><onlink>https://ecos.fws.gov/ServCat/Reference/Profile/128365</onlink><lworkcit><citeinfo><origin>Oregon Islands National Wildlife Refuge</origin><origin>U.S. Fish and Wildlife Service</origin><pubdate>20201231</pubdate><title>IR 9: Oregon Coast: Aerial Photography of Nesting Seabird Colony Islands for Monitoring Purposes</title><geoform>Ongoing Project</geoform><pubinfo><pubplace>Newport, Oregon</pubplace><publish>U.S. Fish and Wildlife Service</publish></pubinfo><onlink>https://ecos.fws.gov/ServCat/Reference/Profile/125356</onlink></citeinfo></lworkcit></citeinfo></citation><descript><abstract>
    June 15-16, 2000 on 35mm slide film.  Primarily captured from a helicopter roughly 800-900' in altitude, Right Front Photographer - Roy W. Lowe, USFWS, Right Rear Photographer - David S. Pitkin, USFWS 

    Oregon Coast National Wildlife Refuge Complex manages an Aerial Photography Program for collecting refuge-wide aerial imagery datasets that are used to monitor nesting seabirds on offshore islands. Aerial flights are generally conducted annually to monitor population status and trends, but the imagery has been used for other resource monitoring purposes.

    These photos have been scanned at 1200 - 5000 DPI and have about 1-foot pixel resolution. Please note that these photos have not been georeferenced. The photos have not been orthorectified and therefore there will be photo anomalies and mis-matches between adjoining photos. Caution should be exercised if attempting to use this imagery to conduct measurements.

    After images were selected for best quality, in some cases, colony-wide, or larger sections of large islands were stitched (mosaiced), to help in the seabird counting process. This metadata record is for the stitched images only.
   </abstract><purpose>
    Aerial photography has served as the primary means for monitoring populations of nesting seabirds, and the subsequent analysis of long-term seabird colony legacy data in the Pacific Northwest as a regional baseline. The 2000 set of photographs have a completed refuge- wide colony count for 2000, where each photograph has a hand count of nesting seabirds stored in a geodatabase format. 

    For more information about the long-term monitoring of seabirds along the Oregon Coast, go to The Service Catalog (ServCat) at the following link: https://ecos.fws.gov/ServCat/Reference/Profile/125347
   </purpose><supplinf>
    This metadata record was written to cover stitched images from the 2000 flight. These stitched island-wide mosaics are made of the best quality images. The stitched island-wide mosaics can be found on the U.S. Fish and Wildlife's internal Enterprise Data Warehouse (EDW), and ServCat reference, https://ecos.fws.gov/ServCat/Reference/Profile/128367

    It should be noted that all slides from the 2003 flight are made digital. They are also cataloged in the Slide Catalog, These photographs have not been analyzed, but do contain other monitoring information such as marine mammal haulouts and vegetation. The entire scanned slide collection only resides on external storage media, but a description of each slide can be found in the Slide Catalog which can be found on The Service Catalog (ServCat) at the following link: https://ecos.fws.gov/ServCat/Reference/Profile/125485.
   </supplinf></descript><timeperd><timeinfo><mdattim><sngdate><caldate>20000615</caldate></sngdate><sngdate><caldate>20060616</caldate></sngdate></mdattim></timeinfo><current>ground condition</current></timeperd><status><progress>Complete</progress><update>None planned</update></status><spdom><bounding><westbc>-124.604937849</westbc><eastbc>-123.985275431</eastbc><northbc>45.4644579801</northbc><southbc>42.1387332849</southbc></bounding></spdom><keywords><theme><themekt>USGS Thesaurus</themekt><themekey>aerial photography</themekey><themekey>image collections</themekey><themekey>long-term ecological monitoring</themekey></theme><theme><themekt>Data Categories for Marine Planning</themekt><themekey>Birds</themekey></theme><theme><themekt>ISO 19115 Topic Category</themekt><themekey>biota</themekey></theme><theme><themekt>Target</themekt><themekey>Seabirds</themekey></theme><place><placekt>Common geographic areas</placekt><placekey>Northern Oregon Coastal</placekey><placekey>Southern Oregon Coastal</placekey><placekey>Marine</placekey><placekey>Rock Islands</placekey></place><place><placekt>USFWS</placekt><placekey>National Wildlife Refuge</placekey></place></keywords><accconst>
   None. Digital images (scanned slides) are organized by Year and Colony ID. Directories were formed to organize stitched images. These images are available through the FWS Enterprise Data Workshop (EDW), and full metadata for collection and individual photograph level metadata are available at https://ecos.fws.gov/ServCat/Reference/Profile/128364.

   This geospatial representation was generated to show the spatial extent of the photography series. Photographs (and subsequent scans are not georeferenced).

   Digital images can be provided upon request. Physical slides are currently stored at the Oregon Coast NWRC.
  </accconst><useconst>Not for navigation.This data is intended to make results of research available at the earliest possible date, but is not intended to constitute final or formal publication. The U.S. Fish and Wildlife makes every effort to provide virus-free files but does not guarantee uncorrupted files. The U.S. Fish and Wildlife does not guarantee this data to be free from errors, inaccuracies, or viruses, and disclaims any responsibility or liability for interpretations or decisions based on this data.</useconst><ptcontac><cntinfo><cntorgp><cntorg>U.S. Fish and Wildlife Service</cntorg><cntper>Shawn W. Stephensen</cntper></cntorgp><cntpos>Wildlife Biologist</cntpos><cntaddr><addrtype>Mailing and Physical</addrtype><address>2127 SE Marine Science Drive</address><address>Oregon Coast National Wildlife Refuge Complex</address><city>Newport</city><state>Oregon</state><postal>97365</postal><country>USA</country></cntaddr><cntvoice>(541) 867-4550</cntvoice><cntemail>shawn_stephensen@fws.gov</cntemail></cntinfo></ptcontac><datacred>U.S. Fish and Wildlife Service, Oregon Islands National Wildlife Refuge</datacred><native>Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1 (Build 9298) Service Pack N/A (Build N/A)</native></idinfo><dataqual><attracc><attraccr>The accuracy of the data entered within the catalog and on slide labels was checked carefully, particularly for slide numbers 10435 – 47304. Errors were discovered and corrected for approximately 6% of these slides and a record of these changes was added to the slide catalog  Additional errors discovered in subsequent phases were corrected within the catalog and/or slide labels as needed.</attraccr></attracc><logic>No formal logical accuracy tests were conducted.</logic><complete>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</complete><posacc><horizpa><horizpar>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</horizpar></horizpa><vertacc><vertaccr>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</vertaccr></vertacc></posacc><lineage><srcinfo><srccite><citeinfo><origin>Oregon Islands National Wildlife Refuge</origin><pubdate>20201231</pubdate><title>Slide film photography</title><geoform>Photographic Print</geoform><pubinfo><pubplace>Newport, Oregon</pubplace><publish>U.S. Fish and Wildlife Service</publish></pubinfo></citeinfo></srccite><srcscale>4800</srcscale><typesrc>Digital and/or Hardcopy Resources</typesrc><srctime><timeinfo><rngdates><begdate>20030615</begdate><enddate>20030616</enddate></rngdates></timeinfo><srccurr>ground condition</srccurr></srctime><srccitea>Slide film hand-held aerial photography</srccitea><srccontr>The slides were captured in 2003, but a complete seabird count was not performed until images were scanned and processed in 2017.</srccontr></srcinfo><procstep><procdesc>Image files are organized by Year and Colony ID. Directories were formed to organize stitched image (if made). These images are available through the FWS Enterprise Data Workshop (EDW).</procdesc><procdate>20201231</procdate></procstep><procstep><procdesc>
     59,727 of the 63,393 slides were scanned and saved as high-resolution images (2400 dpi) in .tiff format by a contracted third party. A relatively small number of slides (3,666 slides), discovered in early 2018, were scanned in-house at 5,000 dpi using a slide scanner (Pacific Image Powerslide 5000) purchased by the USFWS for this purpose. 

     Each slide was given a unique numerical identifier between 1 and 63,439 and this identifier was used to generate a slide label and file name in a standardized format: colony#_YYYY-MM-DD_unique slide number. Digital images of slides were saved within folders corresponding to the colony number prefix which in turn is based upon the degree of latitude and the USGS 1:250,000 topographic map number where the colony is located. 

     Film is true color, and the images are stored in .TIF format. Slides were processed with a barcode system, and entered into a Slide Catalog database. The slide catalog contains attributes that may have been written on each slide. And may contain attributes for date, colonyID, photographer, and other identifiers.
    </procdesc><procdate>20181231</procdate></procstep><procstep><procdesc>Slides were placed sequentially by the assigned unique slide number into acid-free slide storage boxes approved by the National Archives and Records Administration (NARA). Each of the few unique slide numbers not associated with any slide (n=46), were indicated on placeholders identifying the skipped number and placed in slide boxes so that all slide numbers were represented sequentially. There is a total of 368 slide boxes each containing between 11 and 240 slides. Each slide box is labeled with a unique number (1 through 368), the start and end slide numbers, and skipped slide numbers where applicable. There are 27 file boxes, each containing between 5 and 18 slide boxes and labeled with a unique number (1 through 27). The location of slides are recorded in the Inventory_SlideBox_IndexFileBox table within the slide catalog, including file box number, slide box number, start and end slide numbers, skipped slide numbers (where applicable), colony regions (USGS 1:250,000 topographical map number), and years (See Appendix A for details). Following completion of the project, slides were sent to the National Archives Building in Washington, D.C. for long-term storage.</procdesc><procdate>20181231</procdate></procstep><procstep><procdesc>
     A slide catalog in 2010 Microsoft Access format houses all data associated with each of the 63,393 slides. There are eight tables within the catalog and descriptions of each table are available in Appendix A. Data associated with the slides include the colony number, the date the photograph was taken, name of photographer, text written on the slide, comments on the condition of the slide, the number stamped on the slide by the developer (usually 1-36), creator of the record, date of record creation, information on corrections made to the database during the quality control process, and the archive location. The latitude, longitude, and name associated with each colony number within Oregon and Washington was added to the catalog as was the physical location of slides (slide and file boxes). 

     Database Owner/Manager: 
     •USFWS – Shawn Stephensen

     Database Editors:
     •Nyssa Landres – Records 1 - 10434
     •Rikeem Sholes – Records 10435 – 47304
     •Karen Lange – QAQC Records 10435 – 47304
     •Kirsten Bixler &amp; Jessica Porquez – Records 47305 – 63439

     The entire slide catalog is avalable on Servcat at reference, https://ecos.fws.gov/ServCat/Reference/Profile/125485

     Slide data were entered into the database using a data entry form to standardize entries within sites and among editors. The colony number, site name, description, and coordinates were automatically populated when a colony was selected from the drop down menu. A unique record number, or slide number, was assigned sequentially to each slide entered into the database. There are more records then slides because a few unique record numbers were skipped and not associated with any slide (n = 46).

     Slide labels were generated by querying the slide catalog for the date, colony number, and unique slide number, which were imported into XBL Barcode Generator 6.6.41. Printed labels contained a title, and a unique ID in barcode format with the same unique ID printed in numerical format below it. Since the size of the labels was constrained by the dimensions of slides, the amount of data that could be included in the barcode was also limited. As the slide number increased the amount of additional data that could be included in the unique ID barcode decreased. This, combined with technical issues, resulted in changes in the labels through time. Labels for slide numbers 1 – 10434 contained the colony number in the title and the unique ID included the date and slide number in barcode and numerical formats. Labels for slide numbers 10435 – 47304 included the unique slide number in barcode and numerical formats. Slide numbers 47305 – 63439 were labeled with the date and colony number in the title and the slide number in barcode and numerical formats.
    </procdesc><procdate>20181231</procdate></procstep><procstep><procdesc>The accuracy of the data entered within the catalog and on slide labels was checked carefully, particularly for slide numbers 10435 – 47304. Errors were discovered and corrected for approximately 6% of these slides and a record of these changes was added to the slide catalog  Additional errors discovered in subsequent phases were corrected within the catalog and/or slide labels as needed.</procdesc><procdate>20181231</procdate></procstep><procstep><procdesc>
     Images were selected from the principle Oregon coast seabird colony survey completed each year during 2 – 4 days in early- to mid-June. Although additional aerial photos were collected over multiple flights in some cases (e.g. partial survey completed in mid-July), the counts from these photos would not be comparable to other data given the difference in timing of the survey. From the pool of photographs available for each colony in each year, observers manually checked and selected the highest quality photos based upon a variety of factors including whether or not: 
     •individual birds were distinguishable from each other
     •individual birds were distinguishable from the background, particularly in shadows caused by topographical features
     •individual birds were not blocked by other birds or topographical features 
     •the image was part of a series of images that could be stitched together

     Selected slides from the inventory were reviewed for quality, and scored. The best images were selected for further processing and/or counts.

     Image Grading:
     We established a numerical grading scale based on absolute visual characteristic grading (Ludewig et al. 2010) to assess image quality of each colony counted. The following aspects were considered with respect to image grading:
     •Sharpness/contrast and distance: are individuals distinguishable? Are birds distinguishable from the background?
     •Coverage: is entire colony visible? Is topography obscuring birds?
     •Angle: are birds blocking other birds, are birds closest to photographer approximately the same size as those further away?

     Using the following grading scale, each counted image was given a grade which was entered into the Seabird Colony database along with the count record. 
     Grading scale:
     1.Excellent image quality: no limitations for counting
     2.Good image quality: minimal limitations for counting
     3.Sufficient image quality: moderate limitations for counting but no substantial loss of information
     4.Restricted image quality: relevant limitations for counting, clear loss of information
     5.Poor image quality: image not usable, loss of information
     
     Each colony count received one grade for image quality, regardless of the number of images included. For the 325 colony counts completed during the course of this project, the majority (n =  216; 66%) received an image grade of 2 or 3. A smaller number of colony count images received a grade of 1 (n = 50; 15%) or 4 (n = 59; 18%). Colony images received a grade of 5 on one occasion because the image quality was too poor to count. 

     Stitched image headers, or single image if the entire island is covered in one photograph, are updated so that they will align with geodatabses if the project must be recreated.
    </procdesc><procdate>20181231</procdate></procstep><procstep><procdesc>
     We stitched images together where possible in order to reduce the time required to both orient images on a colony and delineate areas to count. We compared stitched images created by two readily available software packages, Adobe Photoshop and Microsoft Image Composite Editor, to determine which we preferred. Photoshop included many image editing features such as distortion removal and a contrast slider tool in addition to a stitching function, but we found the processing time lengthy and resulting file size often prohibitively large. In contrast, the sole function of Image Composite Editor was to stitch images and in most cases, this program produced comparable or even superior stitches in much less time than Photoshop. As a result, we used Image Composite Editor whenever possible. Photoshop was utilized for some poor quality photos that Image Composite Editor could not process, as Photoshop allowed some manual manipulation of image placement in the final stitch. After photos were stitched together the resulting image was inspected for smooth transitions and seams. Stitched images were saved as a Tiff unless the file was so large that a lossy compression format was required (i.e. Jpeg). Photos were imported into ArcMap (v10.5-10.6.1 depending on date and computer) to be counted. 
     Images counted by the USFWS during the study period (1988-2014) prior to the Legacy Project, were stitched using Adobe Photoshop and processed/counted as Jpeg files.
    </procdesc><procdate>20191231</procdate></procstep><procstep><procdesc>Stitched photo(s) of each colony were imported to a new ArcMap .mxd file and moved to the vicinity of the colony location using a georeferenced Oregon coast seabird colony layer and the georeferencing toolbar. MXD files are available by request, and are stored on the FWS Enterprise Data Warehouse (EDW).</procdesc><procdate>20201231</procdate></procstep><procstep><procdesc>Selected images were joined with data from the Seabird Slide Catalog to gather photograph level metadata for the Selected Images (those used to count seabirds). This tabulation was used to create a geospatial representation of the photographs using Colony geospatial coordinates (center points) form the Seabird Colony Catalog.</procdesc><procdate>20201231</procdate></procstep></lineage></dataqual><spdoinfo><direct>Point</direct></spdoinfo><spref><horizsys><geograph><latres>0.0197316602</latres><longres>0.0272005019</longres><geogunit>Decimal seconds</geogunit></geograph><geodetic><horizdn>D_WGS_1984</horizdn><ellips>WGS_1984</ellips><semiaxis>6378137.0</semiaxis><denflat>298.257223563</denflat></geodetic></horizsys></spref><eainfo><detailed><enttyp><enttypl>2000_NestingSeabird_StitchedImages_COMU_RecordLevelMetadata</enttypl><enttypd>Table containing attribute information associated with the data set.</enttypd><enttypds>Producer defined</enttypds></enttyp><attr><attrlabl>FID</attrlabl><attrdef>Internal feature number.</attrdef><attrdefs>Esri</attrdefs><attrdomv><udom>Sequential unique whole numbers that are automatically generated.</udom></attrdomv></attr><attr><attrlabl>Shape</attrlabl><attrdef>Feature geometry.</attrdef><attrdefs>Esri</attrdefs><attrdomv><udom>Coordinates defining the features.</udom></attrdomv></attr><attr><attrlabl>strYYYY</attrlabl><attrdef>Year as string</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>2000</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>YYYY</attrlabl><attrdef>Year as number</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>2000</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>Colony</attrlabl><attrdef>Colony ID is created using the USGS map number, followed by a unique identifier. Colony IDs grow over time as the birds move around, but they are used consistently once established. All FWS Seabird Colony Catalog records use these Colony IDs.</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>219-054</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-056</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-061</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-073</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-004</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-015</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-016</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-018</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-020</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-029</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-032</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-035</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-036</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-047</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-063</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>ProjectCou</attrlabl><attrdef>Project Count Description</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>Final 2000 counts</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>Type</attrlabl><attrdef>Source Data Type</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>Stitched Images</edomv><edomvd>Source Data Type</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Stitched images</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>SubFolder</attrlabl><attrdef>Folder structure, sub folder</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>{Null Value / Empty Field Entry}</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>Filename</attrlabl><attrdef>Filename assigned to the image mosaic. The filename is a concatenation of the Colony ID_Year_descriptor.</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>219-054_2000-a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000-b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_d.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_e.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_f.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_g.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-054_2000_overview.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-056_2000-c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-056_2000_overview.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-061_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-073_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>219-073_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-004_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-004_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-015_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-016_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-018_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-020_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-020_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-020_2000_c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_d.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_e.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_f.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_g.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_h.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-027_2000_overview.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-029_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-029_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-032_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-035_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-035_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-036_2000a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-036_2000b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-047_2000-06-15_38678.tif</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-047_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_d.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_e.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_f.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_g.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_h.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_I.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_J.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_k.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_l.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_m.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_n.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_o.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_overview1.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_overview2.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-049_2000_overview3.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-063_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_a.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_b.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_c.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_d.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_e.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>270-110_2000_f.tiff</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>Grade</attrlabl><attrdef>Image quality grade</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>1</edomv><edomvd>Image quality grade</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>2</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>3</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>4</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strColonyN</attrlabl><attrdef>Colony Name</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>"Elephant Rock"</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>"Hubbard Mound Rock"</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>"Middle Coquille Point Rock"</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>"North Coquille Point Rock"</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>"Unnamed Colony"</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>"Whaleshead Cove" (West Rock)</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Arch Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Best Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Chiefs Island</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Face Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Gull Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Island Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Redfish Rocks (Southern)</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Square White Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Three Arch Rocks (Finley Rock)</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Three Arch Rocks (Shag Rock)</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>West Conical Rock</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strCounty</attrlabl><attrdef>County of image</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>Coos County</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Curry County</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Tillamook County</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strState</attrlabl><attrdef>State of image</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>Oregon</edomv><edomvd>State of image</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strCountry</attrlabl><attrdef>Country of image</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>United States</edomv><edomvd>Country of image</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strPFSubre</attrlabl><attrdef>Subregions as deliniated by the Oregon Coast National Wildlife Refuge Complex.</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>Northern Oregon</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>Southern Oregon and Northern California</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strJurisdi</attrlabl><attrdef>Juristiction of the island</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>State</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>USFWS</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>strUSFWSRe</attrlabl><attrdef>National Wildlife Refuge Name</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><edom><edomv>{Null Value / Empty Field Entry}</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>OREGON ISLANDS NATIONAL WILDLIFE REFUGE</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>THREE ARCH ROCKS NATIONAL WILDLIFE REFUGE</edomv><edomvd>Unknown</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr><attr><attrlabl>dblLatitud</attrlabl><attrdef>Latitude</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><rdom><rdommin>42.138733</rdommin><rdommax>45.464458</rdommax></rdom></attrdomv></attr><attr><attrlabl>dblLongitu</attrlabl><attrdef>Longitude</attrdef><attrdefs>Producer defined</attrdefs><attrdomv><rdom><rdommin>-124.604938</rdommin><rdommax>-123.985275</rdommax></rdom></attrdomv></attr></detailed><overview><eaover>
    The entity and attribute information provided here describes the true color photography (35mm slide film) mosaics produced to support bird counts.

    Collection level metadata – created by USFWS – consists of only one metadata record describing the overall series of image mosaics developed during a project.

    Product level metadata – created by USFWS - will refer to individual mosaics.These records will be populated with information that generally varies per mosaic, such as colony and may include subidentifiers (e.g. a,b,c,d...) information. A summary table of sites included in each years collection of mosaics will be included in the dataset description.
   </eaover><eadetcit>The entity and attribute information was generated by the USFWS. Please review the rest of the metadata record for additional details and information.</eadetcit></overview></eainfo><distinfo><distrib><cntinfo><cntorgp><cntorg>U.S. Fish and Wildlife Service</cntorg><cntper>Shawn W. Stephensen</cntper></cntorgp><cntpos>Wildlife Biiologist</cntpos><cntaddr><addrtype>Mailing and Physical</addrtype><address>2127 SE Marine Science Drive</address><address>Oregon Coast National Wildlife Refuge Complex</address><city>Newport</city><state>Oregon</state><postal>97365</postal><country>USA</country></cntaddr><cntvoice>(541) 867-4550</cntvoice><cntemail>shawn_stephensen@fws.gov</cntemail></cntinfo></distrib><distliab>The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.</distliab><custom>
   Full metadata including a geospatial representation of photographs in the collection are available on FWS Service Catalog (ServCat) at https://ecos.fws.gov/ServCat/Reference/Profile/125367.

   Due to the size of the dataset, these images are available on request. The entire collection is stored on the FWS Enterprise Data Workshop (EDW). Image files are organized by Year and Colony ID. Directories were formed to organize images and may include raw single slide scan, and stitched images (if made).
  </custom></distinfo><metainfo><metd>20210124</metd><metc><cntinfo><cntperp><cntper>Shawn Stephensen</cntper><cntorg>U.S. Fish and Wildlife Service</cntorg></cntperp><cntpos>Data Manager</cntpos><cntaddr><addrtype>Mailing and Physical</addrtype><address>2127 SE Marine Science Drive</address><address>Oregon Coast National Wildlife Refuge Complex</address><city>Newport</city><state>Oregon</state><postal>97365</postal><country>USA</country></cntaddr><cntvoice>(541) 867-4550</cntvoice><cntemail>shawn_stephensen@fws.gov</cntemail></cntinfo></metc><metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn><metstdv>FGDC-STD-001-1998</metstdv><mettc>local time</mettc></metainfo><mdLang><languageCode value="eng"/><countryCode value="USA"/></mdLang><mdChar><CharSetCd value="004"/></mdChar><mdHrLv><ScopeCd value="005"/></mdHrLv><mdContact xmlns=""><rpIndName>Shawn Stephensen</rpIndName><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpPosName>Data Manager</rpPosName><rpCntInfo><cntPhone><voiceNum>(541) 867-4550</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>Oregon Coast National Wildlife Refuge Complex</delPoint><delPoint>2127 SE Marine Science Drive</delPoint><city>Newport</city><adminArea>Oregon</adminArea><postCode>97365</postCode><country>US</country><eMailAdd>shawn_stephensen@fws.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007"/></role></mdContact><mdDateSt>20210124</mdDateSt><distInfo><distributor><distorCont><rpIndName>Shawn W. Stephensen</rpIndName><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpPosName>Wildlife Biiologist</rpPosName><rpCntInfo><cntPhone><voiceNum>(541) 867-4550</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>2127 SE Marine Science Drive</delPoint><delPoint>Oregon Coast National Wildlife Refuge Complex</delPoint><city>Newport</city><adminArea>Oregon</adminArea><postCode>97365</postCode><country>US</country><eMailAdd>shawn_stephensen@fws.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="005"/></role></distorCont><distorOrdPrc><ordInstr>Full metadata including a geospatial representation of photographs in the collection are available on FWS Service Catalog (ServCat) at https://ecos.fws.gov/ServCat/Reference/Profile/125367. Due to the size of the dataset, these images are available on request. The entire collection is stored on the FWS Enterprise Data Workshop (EDW). Image files are organized by Year and Colony ID. Directories were formed to organize images and may include raw single slide scan, and stitched images (if made).</ordInstr></distorOrdPrc></distributor><distTranOps><onLineSrc><linkage>https://ecos.fws.gov/ServCat/Reference/Profile/128365</linkage></onLineSrc><transSize>0.293</transSize></distTranOps><distFormat><formatName>Shapefile</formatName></distFormat></distInfo><dataIdInfo><idCitation><resTitle>Oregon Islands National Wildife Refuge: Aerial Photography for Seabird Monitoring, 2000 Stitched Images Collection</resTitle><date><pubDate>2020-12-31</pubDate></date><citRespParty><rpOrgName>Oregon Islands National Wildlife Refuge</rpOrgName><role><RoleCd value="006"/></role></citRespParty><citRespParty><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><role><RoleCd value="006"/></role></citRespParty><citRespParty><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpCntInfo><cntAddress><delPoint>Newport, Oregon</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010"/></role></citRespParty><presForm><fgdcGeoform>Vector Digital Data Set (Point)</fgdcGeoform><PresFormCd value="005"/></presForm><collTitle>IR 9: Oregon Coast: Aerial Photography of Nesting Seabird Colony Islands for Monitoring Purposes</collTitle></idCitation><idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;June 15-16, 2000 on 35mm slide film. Primarily captured from a helicopter roughly 800-900' in altitude, Right Front Photographer - Roy W. Lowe, USFWS, Right Rear Photographer - David S. Pitkin, USFWS Oregon Coast National Wildlife Refuge Complex manages an Aerial Photography Program for collecting refuge-wide aerial imagery datasets that are used to monitor nesting seabirds on offshore islands. Aerial flights are generally conducted annually to monitor population status and trends, but the imagery has been used for other resource monitoring purposes. These photos have been scanned at 1200 - 5000 DPI and have about 1-foot pixel resolution. Please note that these photos have not been georeferenced. The photos have not been orthorectified and therefore there will be photo anomalies and mis-matches between adjoining photos. Caution should be exercised if attempting to use this imagery to conduct measurements. After images were selected for best quality, in some cases, colony-wide, or larger sections of large islands were stitched (mosaiced), to help in the seabird counting process. This metadata record is for the stitched images only.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs><idPurp>Aerial photography has served as the primary means for monitoring populations of nesting seabirds, and the subsequent analysis of long-term seabird colony legacy data in the Pacific Northwest as a regional baseline. The 2000 set of photographs have a completed refuge- wide colony count for 2000, where each photograph has a hand count of nesting seabirds stored in a geodatabase format. For more information about the long-term monitoring of seabirds along the Oregon Coast, go to The Service Catalog (ServCat) at the following link: https://ecos.fws.gov/ServCat/Reference/Profile/125347</idPurp><idCredit>U.S. Fish and Wildlife Service, Oregon Islands National Wildlife Refuge</idCredit><idStatus><ProgCd value="001"/></idStatus><idPoC><rpIndName>Shawn W. Stephensen</rpIndName><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpPosName>Wildlife Biologist</rpPosName><rpCntInfo><cntPhone><voiceNum>(541) 867-4550</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>Oregon Coast National Wildlife Refuge Complex</delPoint><delPoint>2127 SE Marine Science Drive</delPoint><city>Newport</city><adminArea>Oregon</adminArea><postCode>97365</postCode><country>US</country><eMailAdd>shawn_stephensen@fws.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007"/></role></idPoC><resMaint><maintFreq><MaintFreqCd value="011"/></maintFreq></resMaint><placeKeys><thesaName><resTitle>USFWS</resTitle></thesaName><keyword>National Wildlife Refuge</keyword></placeKeys><placeKeys><thesaName><resTitle>Common geographic areas</resTitle></thesaName><keyword>Southern Oregon Coastal</keyword><keyword>Rock Islands</keyword><keyword>Northern Oregon Coastal</keyword><keyword>Marine</keyword></placeKeys><themeKeys><thesaName><resTitle>ISO 19115 Topic Category</resTitle></thesaName><keyword>biota</keyword></themeKeys><themeKeys><thesaName><resTitle>Target</resTitle></thesaName><keyword>Seabirds</keyword></themeKeys><themeKeys><thesaName><resTitle>Data Categories for Marine Planning</resTitle></thesaName><keyword>Birds</keyword></themeKeys><themeKeys><thesaName><resTitle>USGS Thesaurus</resTitle></thesaName><keyword>image collections</keyword><keyword>aerial photography</keyword><keyword>long-term ecological monitoring</keyword></themeKeys><searchKeys><keyword>Seabirds</keyword><keyword>Birds</keyword><keyword>image collections</keyword><keyword>Southern Oregon Coastal</keyword><keyword>Rock Islands</keyword><keyword>National Wildlife Refuge</keyword><keyword>aerial photography</keyword><keyword>Northern Oregon Coastal</keyword><keyword>long-term ecological monitoring</keyword><keyword>Marine</keyword><keyword>biota</keyword></searchKeys><resConst><LegConsts><useLimit>The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.</useLimit><othConsts>None. Digital images (scanned slides) are organized by Year and Colony ID. Directories were formed to organize stitched images. These images are available through the FWS Enterprise Data Workshop (EDW), and full metadata for collection and individual photograph level metadata are available at https://ecos.fws.gov/ServCat/Reference/Profile/128364. This geospatial representation was generated to show the spatial extent of the photography series. Photographs (and subsequent scans are not georeferenced). Digital images can be provided upon request. Physical slides are currently stored at the Oregon Coast NWRC.</othConsts></LegConsts></resConst><resConst><Consts><useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Not for navigation.This data is intended to make results of research available at the earliest possible date, but is not intended to constitute final or formal publication. The U.S. Fish and Wildlife makes every effort to provide virus-free files but does not guarantee uncorrupted files. The U.S. Fish and Wildlife does not guarantee this data to be free from errors, inaccuracies, or viruses, and disclaims any responsibility or liability for interpretations or decisions based on this data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit></Consts></resConst><aggrInfo><aggrDSName><resTitle>IR 9: Oregon Coast: Aerial Photography of Nesting Seabird Colony Islands for Monitoring Purposes</resTitle><date><pubDate>2020-12-31</pubDate></date><citRespParty><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpCntInfo><cntAddress><delPoint>Newport, Oregon</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010"/></role></citRespParty><citRespParty><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><role><RoleCd value="006"/></role></citRespParty><citRespParty><rpOrgName>Oregon Islands National Wildlife Refuge</rpOrgName><role><RoleCd value="006"/></role></citRespParty><presForm><fgdcGeoform>Ongoing Project</fgdcGeoform></presForm><citOnlineRes><linkage>https://ecos.fws.gov/ServCat/Reference/Profile/125356</linkage></citOnlineRes></aggrDSName><assocType><AscTypeCd value="002"/></assocType></aggrInfo><spatRpType><SpatRepTypCd value="001"/></spatRpType><dataLang><languageCode value="eng"/><countryCode value="USA"/></dataLang><envirDesc> Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9273</envirDesc><dataExt><exDesc>ground condition</exDesc><tempEle><TempExtent><exTemp><TM_Instant><tmPosition>2006-06-16</tmPosition></TM_Instant></exTemp></TempExtent></tempEle><tempEle><TempExtent><exTemp><TM_Instant><tmPosition>2000-06-15</tmPosition></TM_Instant></exTemp></TempExtent></tempEle></dataExt><dataExt><geoEle><GeoBndBox><westBL>-124.604937849</westBL><eastBL>-123.985275431</eastBL><southBL>42.1387332849</southBL><northBL>45.4644579801</northBL></GeoBndBox></geoEle></dataExt><suppInfo>This metadata record was written to cover stitched images from the 2000 flight. These stitched island-wide mosaics are made of the best quality images. The stitched island-wide mosaics can be found on the U.S. Fish and Wildlife's internal Enterprise Data Warehouse (EDW), and ServCat reference, https://ecos.fws.gov/ServCat/Reference/Profile/128367 It should be noted that all slides from the 2000 flight are made digital. They are also cataloged in the Slide Catalog, These photographs have not been analyzed, but do contain other monitoring information such as marine mammal haulouts and vegetation. The entire scanned slide collection only resides on external storage media, but a description of each slide can be found in the Slide Catalog which can be found on The Service Catalog (ServCat) at the following link: https://ecos.fws.gov/ServCat/Reference/Profile/125485.</suppInfo><dataExt><geoEle xmlns=""><GeoBndBox esriExtentType="search"><exTypeCode>1</exTypeCode><westBL>-124.604938</westBL><eastBL>-123.985275</eastBL><northBL>45.464458</northBL><southBL>42.138733</southBL></GeoBndBox></geoEle></dataExt><dataChar><CharSetCd value="004"></CharSetCd></dataChar><tpCat><TopicCatCd value="002"/></tpCat></dataIdInfo><dqInfo><dqScope><scpLvl><ScopeCd value="005"/></scpLvl></dqScope><report type="DQConcConsis"><measDesc>No formal logical accuracy tests were conducted.</measDesc></report><report type="DQCompOm"><measDesc>Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.</measDesc></report><report type="DQQuanAttAcc"><measDesc>The accuracy of the data entered within the catalog and on slide labels was checked carefully, particularly for slide numbers 10435 – 47304. Errors were discovered and corrected for approximately 6% of these slides and a record of these changes was added to the slide catalog Additional errors discovered in subsequent phases were corrected within the catalog and/or slide labels as needed.</measDesc></report><report type="DQAbsExtPosAcc" dimension="horizontal"><measDesc>A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.</measDesc></report><report type="DQAbsExtPosAcc" dimension="vertical"><measDesc>A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable.</measDesc></report><dataLineage><dataSource><srcDesc>The slides were captured in 2003, but a complete seabird count was not performed until images were scanned and processed in 2017.</srcDesc><srcMedName><MedNameCd value="018"/></srcMedName><srcScale><rfDenom>4800</rfDenom></srcScale><srcCitatn><resTitle>Slide film photography</resTitle><resAltTitle>Slide film hand-held aerial photography</resAltTitle><date><pubDate>2020-12-31</pubDate></date><citRespParty><rpOrgName>U.S. Fish and Wildlife Service</rpOrgName><rpCntInfo><cntAddress><delPoint>Newport, Oregon</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010"/></role></citRespParty><citRespParty><rpOrgName>Oregon Islands National Wildlife Refuge</rpOrgName><role><RoleCd value="006"/></role></citRespParty><presForm><fgdcGeoform>Photographic Print</fgdcGeoform></presForm></srcCitatn><srcExt><exDesc>ground condition</exDesc><tempEle><TempExtent><exTemp><TM_Period><tmBegin>2003-06-15</tmBegin><tmEnd>2003-06-16</tmEnd></TM_Period></exTemp></TempExtent></tempEle></srcExt></dataSource><prcStep><stepDesc>The accuracy of the data entered within the catalog and on slide labels was checked carefully, particularly for slide numbers 10435 – 47304. Errors were discovered and corrected for approximately 6% of these slides and a record of these changes was added to the slide catalog Additional errors discovered in subsequent phases were corrected within the catalog and/or slide labels as needed.</stepDesc><stepDateTm>2018-12-31</stepDateTm></prcStep><prcStep><stepDesc>59,727 of the 63,393 slides were scanned and saved as high-resolution images (2400 dpi) in .tiff format by a contracted third party. A relatively small number of slides (3,666 slides), discovered in early 2018, were scanned in-house at 5,000 dpi using a slide scanner (Pacific Image Powerslide 5000) purchased by the USFWS for this purpose. Each slide was given a unique numerical identifier between 1 and 63,439 and this identifier was used to generate a slide label and file name in a standardized format: colony#_YYYY-MM-DD_unique slide number. Digital images of slides were saved within folders corresponding to the colony number prefix which in turn is based upon the degree of latitude and the USGS 1:250,000 topographic map number where the colony is located. Film is true color, and the images are stored in .TIF format. Slides were processed with a barcode system, and entered into a Slide Catalog database. The slide catalog contains attributes that may have been written on each slide. And may contain attributes for date, colonyID, photographer, and other identifiers.</stepDesc><stepDateTm>2018-12-31</stepDateTm></prcStep><prcStep><stepDesc>Images were selected from the principle Oregon coast seabird colony survey completed each year during 2 – 4 days in early- to mid-June. Although additional aerial photos were collected over multiple flights in some cases (e.g. partial survey completed in mid-July), the counts from these photos would not be comparable to other data given the difference in timing of the survey. From the pool of photographs available for each colony in each year, observers manually checked and selected the highest quality photos based upon a variety of factors including whether or not: •individual birds were distinguishable from each other •individual birds were distinguishable from the background, particularly in shadows caused by topographical features •individual birds were not blocked by other birds or topographical features •the image was part of a series of images that could be stitched together Selected slides from the inventory were reviewed for quality, and scored. The best images were selected for further processing and/or counts. Image Grading: We established a numerical grading scale based on absolute visual characteristic grading (Ludewig et al. 2010) to assess image quality of each colony counted. The following aspects were considered with respect to image grading: •Sharpness/contrast and distance: are individuals distinguishable? Are birds distinguishable from the background? •Coverage: is entire colony visible? Is topography obscuring birds? •Angle: are birds blocking other birds, are birds closest to photographer approximately the same size as those further away? Using the following grading scale, each counted image was given a grade which was entered into the Seabird Colony database along with the count record. Grading scale: 1.Excellent image quality: no limitations for counting 2.Good image quality: minimal limitations for counting 3.Sufficient image quality: moderate limitations for counting but no substantial loss of information 4.Restricted image quality: relevant limitations for counting, clear loss of information 5.Poor image quality: image not usable, loss of information Each colony count received one grade for image quality, regardless of the number of images included. For the 325 colony counts completed during the course of this project, the majority (n = 216; 66%) received an image grade of 2 or 3. A smaller number of colony count images received a grade of 1 (n = 50; 15%) or 4 (n = 59; 18%). Colony images received a grade of 5 on one occasion because the image quality was too poor to count. Stitched image headers, or single image if the entire island is covered in one photograph, are updated so that they will align with geodatabses if the project must be recreated.</stepDesc><stepDateTm>2018-12-31</stepDateTm></prcStep><prcStep><stepDesc>Slides were placed sequentially by the assigned unique slide number into acid-free slide storage boxes approved by the National Archives and Records Administration (NARA). Each of the few unique slide numbers not associated with any slide (n=46), were indicated on placeholders identifying the skipped number and placed in slide boxes so that all slide numbers were represented sequentially. There is a total of 368 slide boxes each containing between 11 and 240 slides. Each slide box is labeled with a unique number (1 through 368), the start and end slide numbers, and skipped slide numbers where applicable. There are 27 file boxes, each containing between 5 and 18 slide boxes and labeled with a unique number (1 through 27). The location of slides are recorded in the Inventory_SlideBox_IndexFileBox table within the slide catalog, including file box number, slide box number, start and end slide numbers, skipped slide numbers (where applicable), colony regions (USGS 1:250,000 topographical map number), and years (See Appendix A for details). Following completion of the project, slides were sent to the National Archives Building in Washington, D.C. for long-term storage.</stepDesc><stepDateTm>2018-12-31</stepDateTm></prcStep><prcStep><stepDesc>A slide catalog in 2010 Microsoft Access format houses all data associated with each of the 63,393 slides. There are eight tables within the catalog and descriptions of each table are available in Appendix A. Data associated with the slides include the colony number, the date the photograph was taken, name of photographer, text written on the slide, comments on the condition of the slide, the number stamped on the slide by the developer (usually 1-36), creator of the record, date of record creation, information on corrections made to the database during the quality control process, and the archive location. The latitude, longitude, and name associated with each colony number within Oregon and Washington was added to the catalog as was the physical location of slides (slide and file boxes). Database Owner/Manager: •USFWS – Shawn Stephensen Database Editors: •Nyssa Landres – Records 1 - 10434 •Rikeem Sholes – Records 10435 – 47304 •Karen Lange – QAQC Records 10435 – 47304 •Kirsten Bixler &amp; Jessica Porquez – Records 47305 – 63439 The entire slide catalog is avalable on Servcat at reference, https://ecos.fws.gov/ServCat/Reference/Profile/125485 Slide data were entered into the database using a data entry form to standardize entries within sites and among editors. The colony number, site name, description, and coordinates were automatically populated when a colony was selected from the drop down menu. A unique record number, or slide number, was assigned sequentially to each slide entered into the database. There are more records then slides because a few unique record numbers were skipped and not associated with any slide (n = 46). Slide labels were generated by querying the slide catalog for the date, colony number, and unique slide number, which were imported into XBL Barcode Generator 6.6.41. Printed labels contained a title, and a unique ID in barcode format with the same unique ID printed in numerical format below it. Since the size of the labels was constrained by the dimensions of slides, the amount of data that could be included in the barcode was also limited. As the slide number increased the amount of additional data that could be included in the unique ID barcode decreased. This, combined with technical issues, resulted in changes in the labels through time. Labels for slide numbers 1 – 10434 contained the colony number in the title and the unique ID included the date and slide number in barcode and numerical formats. Labels for slide numbers 10435 – 47304 included the unique slide number in barcode and numerical formats. Slide numbers 47305 – 63439 were labeled with the date and colony number in the title and the slide number in barcode and numerical formats.</stepDesc><stepDateTm>2018-12-31</stepDateTm></prcStep><prcStep><stepDesc>We stitched images together where possible in order to reduce the time required to both orient images on a colony and delineate areas to count. We compared stitched images created by two readily available software packages, Adobe Photoshop and Microsoft Image Composite Editor, to determine which we preferred. Photoshop included many image editing features such as distortion removal and a contrast slider tool in addition to a stitching function, but we found the processing time lengthy and resulting file size often prohibitively large. In contrast, the sole function of Image Composite Editor was to stitch images and in most cases, this program produced comparable or even superior stitches in much less time than Photoshop. As a result, we used Image Composite Editor whenever possible. Photoshop was utilized for some poor quality photos that Image Composite Editor could not process, as Photoshop allowed some manual manipulation of image placement in the final stitch. After photos were stitched together the resulting image was inspected for smooth transitions and seams. Stitched images were saved as a Tiff unless the file was so large that a lossy compression format was required (i.e. Jpeg). Photos were imported into ArcMap (v10.5-10.6.1 depending on date and computer) to be counted. Images counted by the USFWS during the study period (1988-2014) prior to the Legacy Project, were stitched using Adobe Photoshop and processed/counted as Jpeg files.</stepDesc><stepDateTm>2019-12-31</stepDateTm></prcStep><prcStep><stepDesc>Image files are organized by Year and Colony ID. Directories were formed to organize stitched image (if made). These images are available through the FWS Enterprise Data Workshop (EDW).</stepDesc><stepDateTm>2020-12-31</stepDateTm></prcStep><prcStep><stepDesc>Selected images were joined with data from the Seabird Slide Catalog to gather photograph level metadata for the Selected Images (those used to count seabirds). This tabulation was used to create a geospatial representation of the photographs using Colony geospatial coordinates (center points) form the Seabird Colony Catalog.</stepDesc><stepDateTm>2020-12-31</stepDateTm></prcStep><prcStep><stepDesc>Stitched photo(s) of each colony were imported to a new ArcMap .mxd file and moved to the vicinity of the colony location using a georeferenced Oregon coast seabird colony layer and the georeferencing toolbar. MXD files are available by request, and are stored on the FWS Enterprise Data Warehouse (EDW).</stepDesc><stepDateTm>2020-12-31</stepDateTm></prcStep></dataLineage></dqInfo><mdHrLvName>dataset</mdHrLvName><refSysInfo><RefSystem><refSysID><identCode code="4326"/><idCodeSpace>EPSG</idCodeSpace><idVersion>6.14(3.0.1)</idVersion></refSysID></RefSystem></refSysInfo><spatRepInfo><VectSpatRep><geometObjs><geoObjTyp><GeoObjTypCd value="004"/></geoObjTyp><geoObjCnt>65</geoObjCnt></geometObjs><topLvl><TopoLevCd value="001"/></topLvl></VectSpatRep></spatRepInfo><Esri><scaleRange><minScale>150000000</minScale><maxScale>5000</maxScale></scaleRange><ArcGISFormat>1.0</ArcGISFormat><ArcGISProfile>FGDC</ArcGISProfile></Esri><Binary><Thumbnail><Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAeAB4AAD/4QAsRXhpZgAATU0AKgAAAAgAAQExAAIAAAAKAAAAGgAAAABH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</Data></Thumbnail></Binary></metadata>
