Data package from: uav-based reference data for the prediction of fractional cover of standing deadwood from sentinel time series

doi:doi:10.35097/1422

Data package from: uav-based reference data for the prediction of fractional cover of standing deadwood from sentinel time series

TechnicalRemarks: Landscape-level prediction maps 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 (IOJPRS). The prediction maps for the states of Germany will be constantly updated. Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.

BibTex:

@dataset{Schiefer_Felix_and_Schmidtlein_Sebastian_and_Frick_Annett_and_Frey_Julian_and_Klinke_Randolf_and_Zielewska-Büttner_Katarzyna_and_Uhl_Andreas_and_Junttila_Samuli_and_Kattenborn_Teja_2023,
    abstract = {TechnicalRemarks: Landscape-level prediction maps 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 (IOJPRS).
The prediction maps for the states of Germany will be constantly updated.
Files are organized by federal states of Germany and are named according to ISO 3166-2 and year, respectively.},
    author = {Schiefer, Felix and Schmidtlein, Sebastian and Frick, Annett and Frey, Julian and Klinke, Randolf and Zielewska-Büttner, Katarzyna and Uhl, Andreas and Junttila, Samuli and Kattenborn, Teja},
    doi = {10.35097/1422},
    institution = {RADAR},
    title = {Data package from: uav-based reference data for the prediction of fractional cover of standing deadwood from sentinel time series},
    url = {https://service.tib.eu/ldmservice/vdataset/rdr-doi-10-35097-1422},
    year = {2023}
}