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Citation: Seeberg, Gereon and Hostlowsky, Antonia and Huber, Julia and Kamm, Julia and Lincke, Lucia and Schwingshackl, Clemens: Supplementary Datasets for the Paper "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)". 5. August 2022. Open Data LMU. 10.5282/ubm/data.325

Supplementary Datasets for the Paper "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)"
Supplementary Datasets for the Paper "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)"

This is a data set supporting the results of the study "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)" 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.

UHI, UHI mitigation, UHI change, heat stress, land surface temperature, climate change, urban climate, urban land cover, sustainable urban planning, Remote Sensing
Seeberg, Gereon
Hostlowsky, Antonia
Huber, Julia
Kamm, Julia
Lincke, Lucia
Schwingshackl, Clemens
2022

[thumbnail of Data supporting the results of the study "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)" published in Urban Science] Other (Data supporting the results of the study "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)" published in Urban Science)
Data.zip - Submitted Version

24MB

DOI: 10.5282/ubm/data.325

This dataset is available unter the terms of the following Creative Commons LicenseCC BY-SA 4.0

Abstract

This is a data set supporting the results of the study "Evaluating the potential of Landsat satellite data to monitor the effectiveness of measures to mitigate urban heat islands: A case study for Stuttgart (Germany)" 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.

Keywords

UHI, UHI mitigation, UHI change, heat stress, land surface temperature, climate change, urban climate, urban land cover, sustainable urban planning, Remote Sensing

References

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.

Item Type:Data
Contact Person:Schwingshackl, Clemens
E-Mail of Contact:c.schwingshackl at lmu.de
Subjects:Faculty of Geosciences
Dewey Decimal Classification:600 Natural sciences and mathematics > 550 Earth sciences
ID Code:325
Deposited By: Gereon Seeberg
Deposited On:21. Oct 2022 09:00
Last Modified:21. Oct 2022 09:01

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