SiDroForest: Sentinel-2 Level-2 Bottom of Atmosphere labelled image patches with seasonal information for Central Yakutia and Chukotka vegetation plots (Siberia, Russia) ...

• Main Authors: van Geffen, Femke, Geng, Rongwei, Pflug, Bringfried, Kruse, Stefan, Pestryakova, Luidmila A, Herzschuh, Ulrike, Heim, Birgit
• Format: Dataset
• Language: English
• Published: PANGAEA 2021
• Subjects: Patches; remote sensing; Sentinel-2; Siberia; Vegetation Labels; File content; Binary Object; Binary Object File Size; Vegetation survey; RU-Land_2018_Chukotka; RU-Land_2018_Yakutia; AWI Arctic Land Expedition; Helmholtz Einstein International Berlin Research School in Data Science HEIBRiDS; Polar Terrestrial Environmental Systems @ AWI AWI_Envi; Arctic; The Sentinel; Chukotka; Yakutia
• Online Access: https://dx.doi.org/10.1594/pangaea.933268; https://doi.pangaea.de/10.1594/PANGAEA.933268

This Sentinel-2 Level-2 (Bottom-of-Atmosphere) image patches with seasonal information for Central Yakutia and Chukotka vegetation plots dataset in Siberia, Russia, is a part of the SiDroForest data collection. The aim of SiDroForest is to map current vegetation dynamics in the boreal to sub arctic region of Siberia.Sentinel-2 is an ESA optical satellite mission providing satellite imagery globally- and freely-available, which facilitates low-cost large-scale analyses of circumpolar boreal forests. The Sentinel-2 mission is composed of two identical satellites that were launched in 2015 and 2017. Though freely available, Sentinel-2 data often contains clouds and finding a cloud and haze-free acquisition can take time. Therefore, this Data Collection provides cloud free atmospherically corrected image patches of the vegetation plots in three different seasons of the vegetation period in Siberia: early summer, peak summer and summer. The atmospherically corrected Sentinel-2 data were optimized prior to ...