Remote Sensing For Assessing Drought Insurance Claims in Central Europe. - Konrad Heidler; Arnaud Fietzke (IGARSS, 2019)

Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. - Konrad Heidler; Lichao Mou; Celia A. Baumhoer; Andreas J. Dietz; Xiao Xiang Zhu 001 (IGARSS, 2021)

Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. - Konrad Heidler; Lichao Mou; Xiao Xiang Zhu 001 (IGARSS, 2021)

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. - Yuansheng Hua; Lichao Mou; Jianzhe Lin; Konrad Heidler; Xiao Xiang Zhu 001 (CoRR, 2021)

Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps. - Ingmar Nitze; Konrad Heidler; Sophia Barth; Guido Grosse (Remote. Sens., 2021)

SoundingEarth Dataset. - Konrad Heidler; Pu Jin; Lichao Mou; Xiao Xiang Zhu 001 (Zenodo, 2021)

Deep Active Contour Models for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IGARSS, 2022)

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. - Konrad Heidler; Lichao Mou; Celia A. Baumhoer; Andreas J. Dietz; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features. - Erik Loebel; Mirko Scheinert; Martin Horwath; Konrad Heidler; Julia Christmann; Long Duc Phan; Angelika Humbert; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep Neural Network Based Automatic Grounding Line Delineation In Dinsar Interferograms. - Sindhu Ramanath Tarekere; Lukas Krieger; Konrad Heidler; Dana Floricioiu (IGARSS, 2023)

DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks. - Daixin Zhao; Konrad Heidler; Milad Asgarimehr; Caroline Arnold; Tianqi Xiao; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (IGARSS, 2023)

A Deep Active Contour Model for Delineating Glacier Calving Fronts. - Konrad Heidler; Lichao Mou; Erik Loebel; Mirko Scheinert; Sébastien Lefèvre; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-supervised audiovisual representation learning for remote sensing data. - Konrad Heidler; Lichao Mou; Di Hu 001; Pu Jin; Guangyao Li; Chuang Gan 001; Ji-Rong Wen; Xiao Xiang Zhu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023. - Tian Li 004; Konrad Heidler; Lichao Mou; Ádám Ignéczi; Xiao Xiang Zhu 001; Jonathan Bamber (Zenodo, 2023)

PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances. - Konrad Heidler; Ingmar Nitze; Guido Grosse; Xiao Xiang Zhu 001 (CoRR, 2024)

On the Foundations of Earth and Climate Foundation Models. - Xiao Xiang Zhu 001; Zhitong Xiong; Yi Wang 072; Adam J. Stewart; Konrad Heidler; Yuanyuan Wang 002; Zhenghang Yuan; Thomas Dujardin; Qingsong Xu; Yilei Shi (CoRR, 2024)

Machine Learning for Methane Detection and Quantification from Space - A survey. - Enno Tiemann; Shanyu Zhou; Alexander Kläser; Konrad Heidler; Rochelle Schneider; Xiao Xiang Zhu 001 (CoRR, 2024)

Multi-Sensor Deep Learning for Glacier Mapping. - Codrut-Andrei Diaconu; Konrad Heidler; Jonathan L. Bamber; Harry Zekollari (CoRR, 2024)

PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic. - Konrad Heidler; Ingmar Nitze; Guido Grosse; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multimodal GNSS-R self-supervised learning as a generalist Earth surface monitor. - Daixin Zhao; Konrad Heidler; Milad Asgarimehr; Conrad M. Albrecht; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (Int. J. Appl. Earth Obs. Geoinformation, 2025)

SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping. - Samuel Garske; Konrad Heidler; Bradley J. Evans; K. C. Wong 001; Xiao Xiang Zhu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Deep Learning-Based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty. - Daixin Zhao; Milad Asgarimehr; Konrad Heidler; Jens Wickert; Xiao Xiang Zhu 001; Lichao Mou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning. - Nora Gourmelon; Konrad Heidler; Erik Loebel; Daniel Cheng; Julian Klink; Anda Dong; Fei Wu 025; Noah Maul; Moritz Koch; Marcel Dreier; Dakota Pyles; Thorsten Seehaus; et al. (CoRR, 2025)