Landcover derived from Sentinel-1 and Sentinel-2 satellite data (2015-2018) for subarctic and arctic environments

Landcover classes have been derived from bands of Sentinel-2 (3 (green, 10m), 4 (red, 10m), 8 (near infrared, 10m), 11 (SWIR, 20m) and 12 (SWIR, 20m)) as well as Sentinel-1 VV (IW mode) using a combined approach of unsupervised and supervised classification. The dataset comprises the classification...

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Bibliographic Details
Main Authors: Bartsch, Annett, Widhalm, Barbara, Pointner, Georg, Ermokhina, Ksenia A, Leibman, Marina, Heim, Birgit
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
USA
MON
SAT
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.897916
https://doi.org/10.1594/PANGAEA.897916
Description
Summary:Landcover classes have been derived from bands of Sentinel-2 (3 (green, 10m), 4 (red, 10m), 8 (near infrared, 10m), 11 (SWIR, 20m) and 12 (SWIR, 20m)) as well as Sentinel-1 VV (IW mode) using a combined approach of unsupervised and supervised classification. The dataset comprises the classification result as well as the signature file for the Maximum Likelihood Classification. Covered areas are: Western Siberia (Russia), Barrow (Alaska), Teshekpuk (Alaska), Mackenzie Delta (Canada), Umiuaq (Canada), Kytalyk (Russia), Lena Delta (Russia), Seward peninsula (Alaska), Yukon Delta (Alaska) For more information see the product documentation.