Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask. - David Frantz; Achim Roder; Thomas Udelhoven; Michael Schmidt 012 (IEEE Geosci. Remote. Sens. Lett., 2015)

Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection. - David Frantz; Achim Röder; Thomas Udelhoven; Michael Schmidt 012 (Remote. Sens., 2016)

An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications. - David Frantz; Achim Roder; Marion Stellmes; Joachim Hill (IEEE Trans. Geosci. Remote. Sens., 2016)

Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs. - David Frantz; Marion Stellmes; Achim Roder; Thomas Udelhoven; Sebastian Mader; Joachim Hill (IEEE Trans. Geosci. Remote. Sens., 2016)

Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola. - Anne Schneibel; David Frantz; Achim Röder; Marion Stellmes; Kim Fischer; Joachim Hill (Remote. Sens., 2017)

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. - David Frantz; Patrick Hostert; Philippe Rufin; Stefan Ernst; Achim Röder; Sebastian van der Linden (Remote. Sens., 2022)

Unmanned aerial systems accurately map rangeland condition indicators in a dryland savannah. - Vistorina Amputu; Nichola M. Knox; Andreas Braun; Sara Heshmati; Rebecca Retzlaff; Achim Röder; Katja Tielbörger (Ecol. Informatics, 2023)

Forest disturbance characterization in the era of earth observation big data: A mapping review. - Enmanuel Rodríguez Paulino; Martin Schlerf; Achim Röder; Johannes Stoffels; Thomas Udelhoven (Int. J. Appl. Earth Obs. Geoinformation, 2024)