Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data. - Patrick Knöfel; Thorsten Dahms; Erik Borg; Christopher Conrad (GIL Jahrestagung, 2017)

Derivation of biophysical parameters from fused remote sensing data. - Thorsten Dahms; Christopher Conrad; Dinesh Kumar Babu; Marco Schmidt 002; Erik Borg (IGARSS, 2017)

Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany. - Maninder Singh Dhillon; Thorsten Dahms; Carina Kuebert-Flock; Erik Borg; Christopher Conrad; Tobias Ullmann (Remote. Sens., 2020)

Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria. - Maninder Singh Dhillon; Thorsten Dahms; Carina Kuebert-Flock; Ingolf Steffan-Dewenter; Jie Zhang 128; Tobias Ullmann (Remote. Sens., 2022)

Impact of STARFM on Crop Yield Predictions: Fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany. - Maninder Singh Dhillon; Thorsten Dahms; Carina Kuebert-Flock; Adomas Liepa; Thomas Rummler; Joel Arnault; Ingolf Steffan-Dewenter; Tobias Ullmann (Remote. Sens., 2023)

Evaluation of MODIS, Landsat 8 and Sentinel-2 Data for Accurate Crop Yield Predictions: A Case Study Using STARFM NDVI in Bavaria, Germany. - Maninder Singh Dhillon; Carina Kuebert-Flock; Thorsten Dahms; Thomas Rummler; Joel Arnault; Ingolf Steffan-Dewenter; Tobias Ullmann (Remote. Sens., 2023)

Ground Truth Validation of Sentinel-2 Data Using Mobile Wireless Ad Hoc Sensor Networks (MWSN) in Vegetation Stands. - Hannes Mollenhauer; Erik Borg; Bringfried Pflug; Bernd Fichtelmann; Thorsten Dahms; Sebastian Lorenz; Olaf Mollenhauer; Angela Lausch; Jan Bumberger; Peter Dietrich (Remote. Sens., 2023)