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Data package v2: UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

Schiefer, Felix ORCID iD icon 1; Schmidtlein, Sebastian ORCID iD icon 1; Frick, Annett; Frey, Julian; Klinke, Randolf; Zielewska-Büttner, Katarzyna; Uhl, Andreas; Junttila, Samuli; Kattenborn, Teja
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)


Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Forschungsdaten
Publikationsdatum 17.05.2023
Erstellungsdatum 15.05.2023
Identifikator DOI: 10.5445/IR/1000158765
KITopen-ID: 1000158765
Lizenz Creative Commons Namensnennung – Nicht kommerziell 4.0 International
Externe Relationen Forschungsdaten/Software
Abstract/Volltext
Liesmich

Updated version of the landscape-level prediction maps of standig deadwood from the publication "UAV based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series" in ISPRS Open Journal of Photogrammetry and Remote Sensing (https://doi.org/10.1016/j.ophoto.2023.100034)
The prediction maps are for the years 2018 to 2021 and for all federal states in Germany. Files are named according to ISO 3166-2 and year, respectively.

Sentinel-2 timeseries were created using the FORCE "Framework for Operational Radiometric Correction for Environmental monitoring": Frantz, D. (2019). FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124 (https://doi.org/10.3390/rs11091124)

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