Reduction of Uncorrelated Striping Noise - Applications for Hyperspectral Pushbroom Acquisitions. - Christian Rogaß; Christian Mielke; Daniel Scheffler; Nina Kristine Boesche; Angela Lausch; Christin Lubitz; Maximilian Brell; Daniel Spengler; Andreas Eisele 002; Karl Segl; Luis Guanter (Remote. Sens., 2014)

AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data. - Daniel Scheffler; André Hollstein; Hannes Diedrich; Karl Segl; Patrick Hostert (Remote. Sens., 2017)

The EnMAP Satellite -Data Product Validation Activities. - Maximilian Brell; Luis Guanter; Karl Segl; Daniel Scheffler; Niklas Bohn; Astrid Bracher; Mariana Altenburg Soppa; Saskia Foerster; Tobias Storch; Martin Bachmann; Sabine Chabrillat (WHISPERS, 2021)

Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site. - Zhan Li 001; Daniel Scheffler; Nicholas C. Coops; Nicholas R. Leach; Torsten Sachs (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters. - Mariana Altenburg Soppa; Brenner Silva; François Steinmetz; Darryl J. Keith; Daniel Scheffler; Niklas Bohn; Astrid Bracher (Sensors, 2021)

Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat. - Daniel Scheffler; David Frantz (Int. J. Appl. Earth Obs. Geoinformation, 2022)

EnPT - an Alternative Pre-Processing Chain for Hyperspectral EnMAP Data. - Daniel Scheffler; Maximilian Brell; Niklas Bohn; Leonardo Alvarado; Mariana Altenburg Soppa; Karl Segl; Astrid Bracher; Sabine Chabrillat (IGARSS, 2023)

Automated and robust geometric and spectral fusion of multi-sensor, multi-spectral satellite images. - Daniel Scheffler (2023)