<?xml version='1.0' encoding='UTF-8'?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <idinfo>
    <citation>
      <citeinfo>
        <origin>UH Hilo Spatial Data Analysis and Visualization (SDAV) Lab</origin>
        <origin>Ryan L. Perroy</origin>
        <pubdate>2025</pubdate>
        <title>Spatial Data Derived from High-Resolution Aerial Imagery Collected by Helicopter-Mounted Cameras Over the Shoreline of Hawai‘i Island in 2021-2022</title>
        <geoform>raster digital data</geoform>
        <pubinfo>
          <pubplace>Sciencebase</pubplace>
          <publish>US Geological Survey</publish>
        </pubinfo>
        <othercit>Ryan Perroy (University of Hawai'i at Hilo), orcid: 0000-0002-4210-3281.</othercit>
        <onlink>https://doi.org/10.5066/P13TMMYA</onlink>
        <lworkcit>
          <citeinfo>
            <origin>Ryan L. Perroy</origin>
            <pubdate>2023</pubdate>
            <title>Generating a shoreline inventory for Hawai‘i Island to increase resilience in the face of rising sea levels</title>
            <geoform>report</geoform>
            <pubinfo>
              <pubplace>Hilo, HI</pubplace>
              <publish>UH Hilo Spatial Data Analysis and Visualization (SDAV) Lab</publish>
            </pubinfo>
            <onlink>https://www.sciencebase.gov/catalog/item/5f3165bd82ceae4cb3ca5261</onlink>
          </citeinfo>
        </lworkcit>
      </citeinfo>
    </citation>
    <descript>
      <abstract>The objective of this project was to create a shoreline inventory for Hawai‘i Island, the largest and most diverse island in the Hawaiian archipelago. This was done via the collection and processing of high-resolution (&lt;4 cm) aerial imagery along the approximately 428 km long shoreline of Hawai‘i Island using a helicopter-mounted imaging system developed by the University of Hawai‘i at Hilo Spatial Data Analysis &amp; Visualization (SDAV) research laboratory. The collected imagery is supplemented by survey-grade ground control data gathered across a limited number of high priority coastline segments, which were determined in coordination with the Hawai‘i County planning department and land managers. This data collection includes orthomosaics rasters, digital surface model rasters, bare earth digital elevation model rasters, classified point cloud las files, and model outputs of sea level rise inundation for the shoreline of Hawai'i. The files in each of these datasets are labeled with the quadrants of the island (Northeast, Northwest, Southeast and Southwest) and given priority levels based on the quality of shoreline remaining (high, medium, low). Bare earth digital elevation model rasters, classified point cloud las files, and model outputs of sea level rise inundation were only collected for High Priority segments.</abstract>
      <purpose>These data products are a lasting resource for land managers, local government, and the scientific community as we grapple with the challenges of building community resilience and conserving key coastal resources and environments in a time of rapid change.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <mdattim>
          <sngdate>
            <caldate>20220707</caldate>
          </sngdate>
          <sngdate>
            <caldate>20220810</caldate>
          </sngdate>
          <sngdate>
            <caldate>20220830</caldate>
          </sngdate>
          <sngdate>
            <caldate>20220927</caldate>
          </sngdate>
          <sngdate>
            <caldate>20221011</caldate>
          </sngdate>
          <sngdate>
            <caldate>20221027</caldate>
          </sngdate>
          <sngdate>
            <caldate>20210813</caldate>
          </sngdate>
          <sngdate>
            <caldate>20220803</caldate>
          </sngdate>
          <sngdate>
            <caldate>20210907</caldate>
          </sngdate>
        </mdattim>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-156.0773</westbc>
        <eastbc>-154.7699</eastbc>
        <northbc>20.2931</northbc>
        <southbc>18.8543</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>elevation</themekey>
        <themekey>imageryBaseMapsEarthCover</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>aerial photography</themekey>
        <themekey>geospatial datasets</themekey>
        <themekey>sea-level change</themekey>
        <themekey>climate change</themekey>
        <themekey>digital elevation models</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>digital surface model</themekey>
        <themekey>orthomosaic</themekey>
        <themekey>point cloud</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:66840f48d34e0f592272b403</themekey>
      </theme>
      <place>
        <placekt>Common geographic areas</placekt>
        <placekey>Hawaii</placekey>
      </place>
    </keywords>
    <accconst>No data access constraints.</accconst>
    <useconst>These data are marked with a Creative Common CC0 1.0 Universal License, thus are in the public domain and do not have any use constraints. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the University of Hawai‘i at Hilo Spatial Data Analysis and Visualization Lab as the originator of the dataset.</useconst>
    <ptcontac>
      <cntinfo>
        <cntperp>
          <cntper>Ryan Perroy</cntper>
          <cntorg>University of Hawai‘i at Hilo</cntorg>
        </cntperp>
        <cntpos>Principal Investigator</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Spatial Data Analysis &amp; Visualization Research Laboratory</address>
          <city>Hilo</city>
          <state>HI</state>
          <postal>96720</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>(808) 932-7259</cntvoice>
        <cntemail>rperroy@hawaii.edu</cntemail>
      </cntinfo>
    </ptcontac>
    <datacred>Funding and support for this project was provided by the Pacific Islands Climate Adaptation Science Center (PI-CASC), a collaborative partnership between the US Geological Survey and a university consortium, the Hawai‘i Office of Planning, Coastal Zone Management Program, pursuant to National Oceanic and Atmospheric Administration Award number NA18NOS4190082, funded in part by the Coastal Zone Management Act of 1972, as amended, administered by the Office of Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, United States Department of Commerce. The views expressed herein are those of the authors and do not necessarily reflect the views of NOAA or any of  its subagencies.</datacred>
    <native>DEMs, DSMs and Orthomosaic spatial files contains data available in cloud optimized GeoTIFF (.tif) format produced using GDAL python package.</native>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>see dataset specific metadata file for details.</attraccr>
    </attracc>
    <logic>see dataset specific metadata file for details.</logic>
    <complete>see dataset specific metadata file for details.</complete>
    <posacc>
      <horizpa>
        <horizpar>see dataset specific metadata file for details.</horizpar>
      </horizpa>
      <vertacc>
        <vertaccr>see dataset specific metadata file for details.</vertaccr>
      </vertacc>
    </posacc>
    <lineage>
      <procstep>
        <procdesc>see dataset specific metadata file for details.</procdesc>
        <procdate>2024</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Grid Cell</rasttype>
      <rowcount>40778</rowcount>
      <colcount>12383</colcount>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <gridsys>
          <gridsysn>Universal Transverse Mercator</gridsysn>
          <utm>
            <utmzone>5</utmzone>
            <transmer>
              <sfctrmer>0.9996</sfctrmer>
              <longcm>-153</longcm>
              <latprjo>0</latprjo>
              <feast>500000</feast>
              <fnorth>0</fnorth>
            </transmer>
          </utm>
        </gridsys>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>0.03959</absres>
            <ordres>0.03959</ordres>
          </coordrep>
          <plandu>meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>North American Datum of 1983 (NAD 83) HARN</horizdn>
        <ellips>Geodetic Reference System 1980</ellips>
        <semiaxis>6378137.000000</semiaxis>
        <denflat>298.257222</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>Collected_Segment.csv</enttypl>
        <enttypd>Metadata details for each segment flown including: segement number, priority level, quadrant and date collected</enttypd>
        <enttypds>Producer Defined</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Quadrant</attrlabl>
        <attrdef>Geographical quadrant of the island.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <edom>
            <edomv>NE</edomv>
            <edomvd>Northeast</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NW</edomv>
            <edomvd>Northwest</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>SE</edomv>
            <edomvd>Southeast</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>SW</edomv>
            <edomvd>Southwest</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Priority</attrlabl>
        <attrdef>Designated priority level for preservation based on the quality of shoreline remaining.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <edom>
            <edomv>High</edomv>
            <edomvd>High priority</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Low</edomv>
            <edomvd>Low priority</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Medium</edomv>
            <edomvd>Medium priority</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Date</attrlabl>
        <attrdef>Date the segment was collected, formatted in YEAR-MONTH-DAY</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>20210813</rdommin>
            <rdommax>20221027</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Segment</attrlabl>
        <attrdef>Unique name given to the segment based on the geographical location.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <udom>Unique name given to the segment based on the geographical location and proximity to landmarks.</udom>
        </attrdomv>
      </attr>
    </detailed>
    <overview>
      <eaover>To view the list of segements, see attached "Collected_Segment" csv file containing metadata details including: segement number, priority level, quadrant and date collected. There is also a PDF map, HI_Island_Coastal_Survey_Areas, included calling out the different priority levels across the island.</eaover>
      <eadetcit>Perroy, R. L., UH Hilo Spatial Data Analysis and Visualization (SDAV) Lab, 2025, Spatial Data Derived from High-Resolution Aerial Imagery Collected by Helicopter-Mounted Cameras Over the Shoreline of Hawai‘i Island in 2021-2022: US Geological Survey Data Release, https://doi.org/10.5066/P13TMMYA</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
          <cntper>GS ScienceBase</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <distliab>All content is provided for research purposes. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data set. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of this data.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>Digital Data</formname>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://doi.org/10.5066/P13TMMYA</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None.</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20250519</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>Climate Adaptation Science Centers</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>12201 Sunrise Valley Drive, MS-516</address>
          <city>Reston</city>
          <state>VA</state>
          <postal>20192</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>na</cntvoice>
        <cntemail>casc-data@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
