<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014</titl><IDNo agency="DOI">doi:10.7910/DVN/SJKV4T</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2019-03-14</distDate></distStmt><verStmt source="archive"><version date="2019-03-14" type="RELEASED">1</version></verStmt><biblCit>Palace, Michael; Herrick, Christina; DelGreco, Jessica; Varner, Ruth; Finnell, Daniel; Garnello, Anthony John, 2019, "Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014", https://doi.org/10.7910/DVN/SJKV4T, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014</titl><IDNo agency="DOI">doi:10.7910/DVN/SJKV4T</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of New Hampshire">Palace, Michael</AuthEnty><AuthEnty affiliation="University of New Hampshire">Herrick, Christina</AuthEnty><AuthEnty affiliation="University of New Hampshire">DelGreco, Jessica</AuthEnty><AuthEnty affiliation="University of New Hampshire">Varner, Ruth</AuthEnty><AuthEnty affiliation="Virginia Commonwealth University">Finnell, Daniel</AuthEnty><AuthEnty affiliation="Northern Arizona University">Garnello, Anthony John</AuthEnty></rspStmt><prodStmt><software version="1.2">Agisoft PhotoScan</software><software version="10.3">ArcGIS Desktop</software><grantNo agency="National Science Foundation (NSF)">EAR#1063037</grantNo><grantNo agency="National Aeronautics and Space Administration (NASA)">NNX14AD31G</grantNo><grantNo agency="National Aeronautics and Space Administration (NASA)">NNX17AK10G</grantNo><grantNo agency="National Science Foundation (NSF)">EF#1241037</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="University of New Hampshire" email="christina.herrick@unh.edu">Herrick, Christina</contact><depositr>Herrick, Christina</depositr><depDate>2019-03-14</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/SJKV4T"/></citation><stdyInfo><subject><keyword xml:lang="en">Earth and Environmental Sciences</keyword></subject><abstract date="2014-07-11">RGB composite mosaic from over 600 images captured with a Panasonic Lumix-GM1 flown at solar noon aboard a fixed wing Robota Triton unmanned aircraft at approximately 70m above ground. Spatial resolution is 3 cm. For more information on methodology, see related publication.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2014-07-11">2014-07-11</timePrd><timePrd cycle="P1" event="end" date="2014-07-11">2014-07-11</timePrd><collDate cycle="P1" event="start" date="2014-07-11">2014-07-11</collDate><collDate cycle="P1" event="end" date="2014-07-11">2014-07-11</collDate><nation>Sweden</nation><geogCover>Lapland</geogCover><geogCover>Abisko</geogCover><geogCover>Stordalen</geogCover><geogUnit>wetland</geogUnit><geogUnit>peatland</geogUnit><geogUnit>mire</geogUnit><geoBndBox><westBL>19.044</westBL><eastBL>19.049</eastBL><southBL>68.352</southBL><northBL>68.358</northBL></geoBndBox><dataKind>imagery</dataKind><dataKind>geotiff</dataKind></sumDscr><notes>Data part of long-term research and collected in conjunction with nearby Abisko Scientific Research Station (Abisko Naturvetenskapliga Station, ANS)</notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt><restrctn>&lt;a href="https://www.usnh.edu/policy/unh/viii-research-policies/c-unh-policy-ownership-management-and-sharing-research-data">UNH Policy on Ownership, Management, and Sharing of Research Data&lt;/a></restrctn><citReq>If you describe or reference the the methodology behind the creation of this dataset, please also reference the &lt;a href="https://doi.org/10.3390/rs10091498">original publication&lt;/a> found in the metadata.</citReq></useStmt><notes type="DVN:TOU" level="dv">Data is provided under &lt;a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA&lt;/a>. You must give attribution to the original source via the data citation above, generated by the Dataverse. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute or publish your contributions under the same license as the original. &lt;a href=" https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Click here for the official terms of use&lt;/a>.</notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Palace M, Herrick C, DelGreco J, Finnell D, Garnello AJ, McCalley C, McArthur K, Sullivan F, Varner RK. Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS). Remote Sensing. 2018; 10(9):1498.</titl><IDNo agency="doi">10.3390/rs10091498</IDNo></titlStmt><biblCit>Palace M, Herrick C, DelGreco J, Finnell D, Garnello AJ, McCalley C, McArthur K, Sullivan F, Varner RK. Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS). Remote Sensing. 2018; 10(9):1498.</biblCit></citation><ExtLink URI="https://doi.org/10.3390/rs10091498"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f3376777" URI="https://dataverse.harvard.edu/api/access/datafile/3376777" level="datafile"><labl>Stordalen_Mire_RGB_20140711.tif</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/tiff</notes></otherMat></codeBook>