Artykuły udostępnione publicznie: - Lingcao HuangWięcej informacji
Niedostępne w żadnym miejscu: 6
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
Upoważnienia: Research Grants Council, Hong Kong
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
Upoważnienia: Research Grants Council, Hong Kong
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
Upoważnienia: Research Grants Council, Hong Kong
Permafrost Dynamics Observatory: Retrieval of Active Layer Thickness and Soil Moisture from Airborne Insar and Polsar Data
RH Chen, RJ Michaelides, Y Zhao, L Huang, E Wig, TD Sullivan, ...
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1444 …, 2021
Upoważnienia: US National Aeronautics and Space Administration
Detecting changes of retrogressive thaw slumps from satellite images using siamese neural network
L Huang, L Liu
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
Upoważnienia: Chinese Academy of Sciences, Research Grants Council, Hong Kong
Spatiotemporal Evolution of Strain and Compaction Localization in Leitha Limsestone: Synchrotron Tomographic Imaging and Digital Volume Correlation
F Meng, L Huang, P Baud, T Wong
International Workshop on Bifurcation and Degradation in Geomaterials, 31-40, 2022
Upoważnienia: Research Grants Council, Hong Kong
Dostępne w jakimś miejscu: 15
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
Upoważnienia: Research Grants Council, Hong Kong
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
Upoważnienia: Chinese Academy of Sciences, Research Grants Council, Hong Kong
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
Upoważnienia: Research Council of Norway, Research Grants Council, Hong Kong
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
Upoważnienia: US National Oceanic and Atmospheric Administration, Chinese Academy of …
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
Upoważnienia: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Upoważnienia: US National Aeronautics and Space Administration, US National Oceanic and …
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
Upoważnienia: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Upoważnienia: US National Science Foundation, US National Oceanic and Atmospheric …
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
Upoważnienia: US National Aeronautics and Space Administration
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
Upoważnienia: US National Aeronautics and Space Administration
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
Upoważnienia: US National Aeronautics and Space Administration, US National Oceanic and …
Mapping and characterizing rock glaciers in the arid west Kunlun of China
Y Hu, L Liu, L Huang, L Zhao, T Wu, X Wang, J Cai
Authorea Preprints, 2023
Upoważnienia: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Widespread and rapid activities of retrogressive thaw slumps on the Qinghai‐Tibet Plateau from 2016 to 2022
Z Xia, L Liu, C Mu, X Peng, Z Zhao, L Huang, J Luo, C Fan
Geophysical Research Letters 51 (17), e2024GL109616, 2024
Upoważnienia: Research Grants Council, Hong Kong
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
Upoważnienia: US Department of Energy, US National Aeronautics and Space Administration
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