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

TechnicalRemarks: 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)

Cite this as

Schiefer, Felix, Schmidtlein, Sebastian, Frick, Annett, Frey, Julian, Klinke, Randolf, Zielewska-Büttner, Katarzyna, Uhl, Andreas, Junttila, Samuli, Kattenborn, Teja (2023). Dataset: Data package v2: uav-based reference data for the prediction of fractional cover of standing deadwood from sentinel time series. https://doi.org/10.35097/1445

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY-NC 4.0 Attribution-NonCommercial
Source https://doi.org/10.35097/1445
Author Schiefer, Felix
More Authors
Schmidtlein, Sebastian
Frick, Annett
Frey, Julian
Klinke, Randolf
Zielewska-Büttner, Katarzyna
Uhl, Andreas
Junttila, Samuli
Kattenborn, Teja
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2023
Publication Year 2023
Subject Areas
Name: Geography