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

DOI

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)

Identifier
DOI https://doi.org/10.35097/1445
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/1445
Provenance
Creator Schiefer, Felix ORCID logo; Schmidtlein, Sebastian ORCID logo; Frick, Annett; Frey, Julian; Klinke, Randolf; Zielewska-Büttner, Katarzyna; Uhl, Andreas; Junttila, Samuli; Kattenborn, Teja
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2023
Rights Open Access; Creative Commons Attribution Non Commercial 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-nc/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Geography; Geosciences; Geospheric Sciences; Natural Sciences