selected publications

• journal article

  • A Labeling Intercomparison of Retrogressive Thaw Slumps by a Diverse Group of Domain Experts.  Permafrost and Periglacial Processes. 2024
  • Widespread and Rapid Activities of Retrogressive Thaw Slumps on the Qinghai‐Tibet Plateau From 2016 to 2022.  Geophysical Research Letters. 2024
  • The ABoVE L-band and P-band airborne synthetic aperture radar surveys.  Earth System Science Data. 2605-2624. 2024
  • Identifying active retrogressive thaw slumps from ArcticDEM.  ISPRS Journal of Photogrammetry and Remote Sensing. 301-316. 2023
  • Mapping and Characterizing Rock Glaciers in the Arid Western Kunlun Mountains Supported by InSAR and Deep Learning.  Journal of Geophysical Research: Earth Surface. 2023
  • Retrogressive thaw slumps along the Qinghai-Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics.  Earth System Science Data. 3875-3887. 2022
  • Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic.  Remote Sensing. 2022
  • Detection of Flood Extent Using Sentinel-1A/B Synthetic Aperture Radar: An Application for Hurricane Harvey, Houston, TX.  Remote Sensing. 2022
  • Retrogressive thaw slumps along the Qinghai-Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics 2022
  • Automatically quantifying evolution of retrogressive thaw slumps in Beiluhe (Tibetan Plateau) from multi-temporal CubeSat images.  International Journal of Applied Earth Observation and Geoinformation. 2021
  • Validation of Permafrost Active Layer Estimates from Airborne SAR Observations.  Remote Sensing. 2021
  • Inventorying Retrogressive Thaw Slumps along the Qinghai-Tibet Engineering Corridor using a deep-learning-aided semi-automatic method 2021
  • Synchrotron X-ray imaging in 4D: Multiscale failure and compaction localization in triaxially compressed porous limestone.  Earth and Planetary Science Letters. 2019
  • Automatically delineating the calving front of Jakobshavn Isbrae from multitemporal TerraSAR-X images: a deep learning approach.  The Cryosphere. 1729-1741. 2019
  • Automatically delineating the calving front of Jakobshavn Isbræ from multi-temporal TerraSAR-X images: a deep learning approach 2019
  • Supplementary material to "Automatically delineating the calving front of Jakobshavn Isbræ from multi-temporal TerraSAR-X images: a deep learning approach" 2019
  • Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau.  Remote Sensing. 2018