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      <document id='https://data.ub.uni-muenchen.de/id/document/1776'>
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            <filename>Data.zip</filename>
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        <formatdesc>Data supporting the results of the study &quot;Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)&quot; published in Urban Science</formatdesc>
        <language>de</language>
        <security>public</security>
        <main>Data.zip</main>
        <content>submitted</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>903</userid>
    <dir>disk0/00/00/03/25</dir>
    <datestamp>2022-10-21 09:00:49</datestamp>
    <lastmod>2022-10-21 09:01:03</lastmod>
    <status_changed>2022-10-21 09:00:49</status_changed>
    <type>data</type>
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    <abstract>
      <item>
        <name>This is a data set supporting the results of the study &quot;Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)&quot; published in Urban Science. The zip file includes TIFFs with LST, UHI and NDVI data, as well as shapefiles of masks used in the study.</name>
        <lang>eng</lang>
      </item>
    </abstract>
    <creators>
      <item>
        <name>
          <family>Seeberg</family>
          <given>Gereon</given>
        </name>
      </item>
      <item>
        <name>
          <family>Hostlowsky</family>
          <given>Antonia</given>
        </name>
      </item>
      <item>
        <name>
          <family>Huber</family>
          <given>Julia</given>
        </name>
      </item>
      <item>
        <name>
          <family>Kamm</family>
          <given>Julia</given>
        </name>
      </item>
      <item>
        <name>
          <family>Lincke</family>
          <given>Lucia</given>
        </name>
      </item>
      <item>
        <name>
          <family>Schwingshackl</family>
          <given>Clemens</given>
        </name>
      </item>
    </creators>
    <date>2022-08-05</date>
    <ddc>
      <item>550</item>
    </ddc>
    <doi>10.5282/ubm/data.325</doi>
    <doi_url>https://doi.org/10.5282/ubm/data.325</doi_url>
    <full_text_status>public</full_text_status>
    <keywords>
      <item>UHI</item>
      <item>UHI mitigation</item>
      <item>UHI change</item>
      <item>heat stress</item>
      <item>land surface temperature</item>
      <item>climate change</item>
      <item>urban climate</item>
      <item>urban land cover</item>
      <item>sustainable urban planning</item>
      <item>Remote Sensing</item>
    </keywords>
    <language>en</language>
    <license>cc-by-sa</license>
    <maintainer>
      <item>
        <name>
          <family>Schwingshackl</family>
          <given>Clemens</given>
        </name>
      </item>
    </maintainer>
    <referencetext>Landsat Data:
Masek, J.G.; Vermote, E.F.; Saleous, N.E.; Wolfe, R.; Hall, F.G.; Huemmrich, K.F.; Gao, F.; Kutler, J.; Lim, T.-K. A Landsat Surface Reflectance Dataset for North America, 1990–2000. IEEE Geosci. Remote Sens. Lett. 2006, 3, 68–72. 10.1109/LGRS.2005.857030.

Cook, M. Atmospheric Compensation for a Landsat Land Surface Temperature Product. Ph.D. Degree Dissertation. Rochester Institute of Technology. Rochester. 22.10.2014.

Cook, M.; Schott, J.; Mandel, J.; Raqueno, N. Development of an Operational Calibration Methodology for the Landsat Thermal Data Archive and Initial Testing of the Atmospheric Compensation Component of a Land Surface Temperature (LST) Product from the Archive. Remote Sens. 2014, 6, 11244–11266. 10.3390/rs61111244.

Vermote, E.; Justice, C.; Claverie, M.; Franch, B. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sens. Environ. 2016, 185, 46–56. 10.1016/j.rse.2016.04.008.

USGS. Landsat 4-7 Collection 2 (C2) Level 2 Science Product (L2SP) Guide 2021. Available online: https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/LSDS-1618_Landsat-4-7_C2-L2-ScienceProductGuide-v4.pdf (accessed 08.06.2022)

USGS. Landsat 8-9 Collection 2 (C2) Level 2 Science Product (L2SP) Guide 2022. Available online: https://d9-wret.s3.us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/media/files/LSDS-1619_Landsat-8-9-C2-L2-ScienceProductGuide-v4.pdf (accessed 08.06.2022)

TanDEM-X:
Wessel, B.; Huber, M.; Wohlfart, C.; Marschalk, U.; Kosmann, D.; Roth, A. Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data. ISPRS J. Photogramm. Remote Sens. 2018, 139, 171–182. 10.1016/j.isprsjprs.2018.02.017.

Rizzoli, P.; Martone, M.; Gonzalez, C.; Wecklich, C.; Borla Tridon, D.; Bräutigam, B.; Bachmann, M.; Schulze, D.; Fritz, T.; Huber, M.; et al. Generation and performance assessment of the global TanDEM-X digital elevation model. ISPRS J. Photogramm. Remote Sens. 2017, 132, 119–139. 10.1016/j.isprsjprs.2017.08.008.

CORIN Land Cover:
Büttner, G.; Kosztra, B.; Soukup, T.; Sousa, A.; Langanke, T. CLC2018 Technical Guidelines 61. 2017
Open Data und Testdaten. Available online: 

Shapefile of Stuttgart:
https://www.stuttgart.de/leben/bauen/geoportal/open-data-und-testdaten.php (accessed on 19.05.2022).

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Landsat Collection 2 Level-2 data from L5 (doi: /10.5066/P9IAXOVV) and L8 (doi: 10.5066/P9OGBGM6) can be found on the EarthExplorer portal: https://earthexplorer.usgs.gov/. Corine Land Cover (CLC) 2018 data can be found here: https://land.copernicus.eu/pan-european/corine-land-cover. TanDEM-X Data can be accessed here: https://download.geoservice.dlr.de/TDM90/. Landsat Collection 2 Level 2 Science Products courtesy of the U.S. Geological Survey Earth Resources Observation and Science Center.</referencetext>
    <subjects>
      <item>fak20</item>
    </subjects>
    <title>Supplementary Datasets for the Paper &quot;Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)&quot;</title>
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