This product comprises monthly composites and temporal statistics of selected vegetation indices (VI) for all of Germany from 2015 to today in 10m resolution, which were calculated using the DLR TimeScan processor . VIs (EVI, HA56, NDRE, NDVI, NDWI, PSRI and REIP) were calculated from Sentinel 2 Level 2A data at 10 m spatial resolution produced by means of the DLR-PACO processor . Monthly compositing and temporal statistics are based on all valid and cloud-free observations per vegetation index. Derived variables per index are: minimum (min), maximum (max), mean, standard-deviation (sd), average absolute difference between observations (masd) as well as the number of cloud-free observations (n-cloudfree) and the total number of observations (n-obs).
Product Version: 1.0 Sensor: Sentinel-2 Period: 2015 - 2019 Coverage: Germany Image Preprocessing: Cloud-masking (Python FMask); Atmospheric Correction (PACO); Resampling of 20m bands to 10m; Compositing and Temporal Statistics (TimeScan)References:  T. Esch, S. Üreyen, J. Zeidler, A. Metz-Marconcini, A. Hirner, H. Asamer, M. Tum, M. Böttcher, S. Kuchar, V. Svaton & M. Marconcini (2018) Exploiting big earth data from space - first experiences with the timescan processing chain, Big Earth Data, 2:1, 36-55, DOI: 10.1080/20964471.2018.1433790  R. de los Reyes, R. Richter, M. Langheinrich, B. Pflug & P. Schwind (2018) Validation of a new atmospheric correction software using AERONET reference data PACO: Python-based Atmospheric Correction. LPVE2018-Workshop on Land Product Validation and Evolution, Frascati, Italy
Attribution: This is an outcome of the AGRO-DE project, which is funded by the Federal Ministry of Food and Agriculture. It is produced and distributed by the DLR under the CC-BY-SA 4.0 license. This product contains modified Copernicus Sentinel data (2015-2019).