8329898d-35d8-4f67-ae5a-41a03fc4a70d Dataset German Aerospace Center (DLR) geoservice@dlr.de 2024-11-11T08:39:03 ISO19115 2003/Cor.1:2006 2 1333332 30 666666 30 false EPSG:4326 TimeScan - Landsat - 2015, Global 2021-05-10T09:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/8329898d-35d8-4f67-ae5a-41a03fc4a70d The TimeScan product is based on the fully-automated analysis of comprehensive time-series acquisitions of Landsat data. Based on a user-specified definition of the required period of time, the region of interest and – optionally – the maximum cloud cover, the TimeScan processor starts with the collection of all available Landsat scenes that meet the user specification. Next, for each single scene masking of clouds, haze and shadow is conducted using the Fmask algorithm. Then, a total of 6 indices is calculated for those pixels of each single scene that have not been masked in the prior step. The set of indices includes the Normalized Difference Vegetation Index (NDVI), the Built-up Index (BI), the Modified Normalized Difference Water Index (MNDWI), the Normalized Difference Band-5 / Band-7 (ND57), the Normalized Difference Band-4 / Band-3 (ND43), and the Normalized Difference Band-3 / Band-2 (ND32). Finally, the TimeScan product is generated by calculating the temporal statistics (minimum, maximum, mean, standard deviation, mean slope) for each index over the defined period of time. Hence, in case of the defined 6 indices chosen, the TimeScan product will include a total of 30 bands (5 statistical features per index). As an additional band a quality layer is added which shows for each pixel the number of valid values (meaning times with no cloud/haze or shadow cover) that have been included in the statistics calculation. German Aerospace Center (DLR) thomas.esch@dlr.de German Aerospace Center (DLR) geoservice@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/8329898d-35d8-4f67-ae5a-41a03fc4a70d/attachments/TimeScan_QL.jpg large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/8329898d-35d8-4f67-ae5a-41a03fc4a70d/attachments/TimeScan_QL_s.jpg thumbnail Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 Global Spatial scope 2024-05-23 geonetwork.thesaurus.external.place.SpatialScope.en TimeScan Landsat time-series spectral indices temporal statistics Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. Es gelten keine Zugriffsbeschränkungen Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by-nc/4.0 / Terms of use: License, https://creativecommons.org/licenses/by-nc/4.0 {"id": "cc-by-nc-4.0", "name": "Creative Commons Namensnennung - Nicht kommerziell 4.0 International (CC BY-NC 4.0)", "url": "http://dcat-ap.de/def/licenses/cc-by-nc/4.0", "quelle": "Copyright DLR (year of production)"} 60000 imageryBaseMapsEarthCover -176.00 180.00 -56.00 75.00 2013-04-11T00:00:00 2015-10-30T00:00:00 GeoTIFF https://geoservice.dlr.de/eoc/land/wms? OGC:WMS TS_LANDSAT_2015 WMS access TimeScan Landsat 2015 Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification. true The TimeScan Landsat 2015 dataset is based on data acquired by the Landsat-8 mission. For details see: Esch, Thomas and Marconcini, Mattia and Üreyen, Soner and Zeidler, Julian and Hirner, Andreas and Asamer, Hubert and Rogge, Derek and Metz, Annekatrin and Tum, Markus and Boettcher, Martin and Kuchař, Štěpán and Svaton, Vaclav (2017) Exploiting Big Data from Earth Observation - The TimeScan Framework. ISPRS Journal of Photogrammetry and Remote Sensing. Elsevier B.V. ISSN 0924-2716 (submitted)