| Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images L Huang, J Luo, Z Lin, F Niu, L Liu Remote Sensing of Environment 237, 111534, 2020 | 128 | 2020 |
| Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach E Zhang, L Liu, L Huang The Cryosphere 13 (6), 1729-1741, 2019 | 88 | 2019 |
| An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery E Zhang, L Liu, L Huang, KS Ng Remote Sensing of Environment 254, 112265, 2021 | 76 | 2021 |
| Automatic mapping of thermokarst landforms from remote sensing images using deep learning: A case study in the Northeastern Tibetan Plateau L Huang, L Liu, L Jiang, T Zhang Remote Sensing 10 (12), 2067, 2018 | 64 | 2018 |
| Synchrotron X-ray imaging in 4D: multiscale failure and compaction localization in triaxially compressed porous limestone L Huang, P Baud, B Cordonnier, F Renard, L Liu, T Wong Earth and Planetary Science Letters 528, 115831, 2019 | 52 | 2019 |
| Retrogressive thaw slumps along the Qinghai-Tibet Engineering Corridor: A comprehensive inventory and their distribution characteristics Z Xia, L Huang, C Fan, S Jia, Z Lin, L Liu, J Luo, F Niu, T Zhang Earth System Science Data Discussions 2022, 1-19, 2022 | 36 | 2022 |
| Automatically quantifying evolution of retrogressive thaw slumps in Beiluhe (Tibetan Plateau) from multi-temporal CubeSat images L Huang, L Liu, J Luo, Z Lin, F Niu International Journal of Applied Earth Observation and Geoinformation 102 …, 2021 | 29 | 2021 |
| Accuracy, efficiency, and transferability of a deep learning model for mapping retrogressive thaw slumps across the Canadian Arctic L Huang, TC Lantz, RH Fraser, KF Tiampo, MJ Willis, K Schaefer Remote Sensing 14 (12), 2747, 2022 | 27 | 2022 |
| Mapping and characterizing rock glaciers in the arid Western Kunlun Mountains supported by InSAR and deep learning Y Hu, L Liu, L Huang, L Zhao, T Wu, X Wang, J Cai Journal of Geophysical Research: Earth Surface 128 (9), e2023JF007206, 2023 | 19 | 2023 |
| Validation of permafrost active layer estimates from airborne SAR observations AD Parsekian, RH Chen, RJ Michaelides, TD Sullivan, LK Clayton, ... Remote Sensing 13 (15), 2876, 2021 | 17 | 2021 |
| Identifying active retrogressive thaw slumps from ArcticDEM L Huang, MJ Willis, G Li, TC Lantz, K Schaefer, E Wig, G Cao, KF Tiampo ISPRS Journal of Photogrammetry and Remote Sensing 205, 301-316, 2023 | 16 | 2023 |
| Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR RH Chen, RJ Michaelides, Y Zhao, L Huang, E Wig, TD Sullivan, ... Earth and Space Science 10 (1), e2022EA002453, 2023 | 14 | 2023 |
| Detection of flood extent using Sentinel-1A/B synthetic aperture radar: an application for Hurricane Harvey, Houston, TX KF Tiampo, L Huang, C Simmons, C Woods, MT Glasscoe Remote Sensing 14 (9), 2261, 2022 | 14 | 2022 |
| Strain localization in 4D imaged by X-ray computed tomography and digital volume correlation: Discrete compaction bands in Leitha limestone F Meng, L Huang, P Baud, T Wong Journal of the Mechanics and Physics of Solids 171, 105160, 2023 | 7 | 2023 |
| ABoVE: Active Layer Thickness from Airborne L-and P-band SAR, Alaska, 2017, Ver. 3 RH Chen, RJ Michaelides, J Chen, AC Chen, LK Clayton, ... ORNL DAAC, 2022 | 7 | 2022 |
| A labeling intercomparison of retrogressive thaw slumps by a diverse group of domain experts I Nitze, J Van der Sluijs, S Barth, P Bernhard, L Huang, A Kizyakov, ... Permafrost and Periglacial Processes, 2024 | 5 | 2024 |
| A Machine Learning Approach to Flood Depth and Extent Detection Using Sentinel 1A/B Synthetic Aperture Radar K Tiampo, C Woods, L Huang, P Sharma, Z Chen, B Kar, D Bausch, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 558-561, 2021 | 4 | 2021 |
| ARTS: a scalable data set for Arctic Retrogressive Thaw Slumps Y Yang, H Rodenhizer, BM Rogers, J Dean, R Singh, T Windholz, ... EGU24, 2024 | 3 | 2024 |
| The parallel segmentation algorithm based on pyramid image for high spatial resolution remote sensing image L Huang, G Zhang, C Zhou, Y Wang Remote Sensing of the Environment: 18th National Symposium on Remote Sensing …, 2014 | 3 | 2014 |
| Combined use of multi-source satellite imagery and deep learning for automated mapping of glacial lakes in the Bhutan Himalaya X Xu, L Liu, L Huang, Y Hu Science of Remote Sensing 10, 100157, 2024 | 2 | 2024 |