A5035544336- Cryospheric studies and observations
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Soil Moisture and Remote Sensing
- Rangeland Management and Livestock Ecology
- Indigenous Studies and Ecology
- Rock Mechanics and Modeling
- Landslides and related hazards
- Drilling and Well Engineering
- Flood Risk Assessment and Management
- Remote Sensing and Land Use
- Soil and Unsaturated Flow
- Smart Materials for Construction
- High-pressure geophysics and materials
- Meteorological Phenomena and Simulations
- Geology and Paleoclimatology Research
- Tropical and Extratropical Cyclones Research
- Seismic Imaging and Inversion Techniques
- Winter Sports Injuries and Performance
- Hydrology and Watershed Management Studies
- Aerospace Engineering and Energy Systems
- Remote Sensing in Agriculture
- Marine and environmental studies
- Soil erosion and sediment transport
- Satellite Image Processing and Photogrammetry
Cooperative Institute for Research in Environmental Sciences
2021-2025
University of Colorado Boulder
2021-2025
Chinese University of Hong Kong
2018-2025
University of Colorado System
2021-2023
University of Hong Kong
2019-2022
Nanjing University of Information Science and Technology
2022
Guilin University of Technology
2020
Guilin University
2020
Wuhan University
2010-2020
Xiamen University of Technology
2014
Abstract. The important Qinghai–Tibet Engineering Corridor (QTEC) covers the part of Highway and Railway underlain by permafrost. permafrost on QTEC is sensitive to climate warming human disturbance suffers accelerating degradation. Retrogressive thaw slumps (RTSs) are slope failures due thawing ice-rich They typically retreat expand at high rates, damaging infrastructure, releasing carbon preserved in frozen ground. Along critical essential corridor, RTSs commonly distributed but remain...
Abstract Arctic permafrost is undergoing rapid changes due to climate warming in high latitudes. Retrogressive thaw slumps (RTS) are one of the most abrupt and impactful thermal-denudation events that change landscapes accelerate carbon feedbacks. Their spatial distribution remains poorly characterised time-intensive conventional mapping methods. While numerous RTS studies have published standalone digitisation datasets, lack a centralised, unified database has limited their utilisation,...
Abstract. The calving fronts of many tidewater glaciers in Greenland have been undergoing strong seasonal and interannual fluctuations. Conventionally, front positions manually delineated from remote sensing images. But manual practices can be labor-intensive time-consuming, particularly when processing a large number images taken over decades covering areas with glaciers, such as Greenland. Applying U-Net, deep learning architecture, to multitemporal synthetic aperture radar by the...
Thawing of ice-rich permafrost causes thermokarst landforms on the ground surface. Obtaining distribution is a prerequisite for understanding degradation and carbon exchange at local regional scales. However, because their diverse types characteristics, it challenging to map from remote sensing images. We conducted case study towards automatically mapping type (i.e., thermo-erosion gullies) in area northeastern Tibetan Plateau high-resolution images by use deep learning. In particular, we...
Deep learning has been used for mapping retrogressive thaw slumps and other periglacial landforms but its application is still limited to local study areas. To understand the accuracy, efficiency, transferability of a deep model (i.e., DeepLabv3+) when applied large areas or multiple regions, we conducted several experiments using training data from three different regions across Canadian Arctic. overcome main challenge transferability, generative adversarial network (GAN) called CycleGAN...
ABSTRACT Deep‐learning (DL) models have become increasingly beneficial for the detection of retrogressive thaw slumps (RTS) in permafrost domain. However, comparing accuracy metrics is challenging due to unstandardized labeling guidelines. To address this, we conducted an experiment with 12 international domain experts from a broad range scientific backgrounds. Using 3 m PlanetScope multispectral imagery, they digitized RTS footprints two sites. We evaluated label uncertainty by manually...
Retrogressive thaw slumps (RTSs) are among the most dynamic landforms resulting from thawing of ice-rich permafrost. However, RTS distribution and evolution poorly quantified because them occur in remote inaccessible areas. In this study, we propose a method that integrates deep learning, change detection, medial axis transform, aiming to automatically quantify development on multi-temporal images Beiluhe region Tibetan Plateau 2017 2019. The taken by Planet CubeSat constellation with high...
Abstract Rock glaciers (RGs) manifest the creep of mountain permafrost occurring in past or at present. Their presence and dynamics are indicators distribution changes response to climate forcing. There is a complete lack knowledge about RGs Western Kunlun Mountains, one driest ranges Asia, where extensive rapidly warming. In this study, we first mapped quantified kinematics active based on satellite Interferometric Synthetic Aperture Radar (InSAR) Google Earth images. Then, trained...
Abstract Because of the remote nature permafrost, it is difficult to collect data over large geographic regions using ground surveys. Remote sensing enables us study permafrost at high resolution and areas. The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains about subsidence, active layer thickness (ALT), soil water content, table depth, derived from airborne radar measurements 66 image swaths in 2017. With nearly 58,000,000 pixels available for...
Abstract Retrogressive Thaw Slumps (RTSs), a form of thermokarst hazards, pose risks to hydrological and ecological environments the safety Qinghai‐Tibet Engineering Corridor. We still lack knowledge about geographic locations RTSs their dynamically changing spatial margins. However, visual interpretation is labor‐intensive while present‐day deep learning methods become ineffective when model trained in one year directly transferred another. To enhance model's generalization ability, here we...
Permafrost in the Arctic and Subarctic regions contains a significant amount of carbon from ancient vegetation animals remaining started to thaw at an alarming rate due global warming amplification, posing risks releasing into atmosphere affecting neutrality. However, magnitude rates release permafrost scale remain unclear. Among various processes associated with thaw, mass movements such as retrogressive slumps (RTSs) play critical role transforming local hydrology, geomorphology,...
Abstract Retrogressive thaw slumps (RTSs), formed by abrupt degradation of ice‐rich permafrost, are widely distributed on the Qinghai‐Tibet Plateau, causing infrastructure damage and enhancing soil carbon emissions. We compiled annual RTS inventories across plateau from 2016 to 2022 using a deep‐learning‐aided method quantify spatial‐temporal variations. found that RTS‐affected locations increased 1,592 3,805 in 2016–2022, which affected areas 2.8 times 1,714 6,507 ha. The most active...
Abstract Seasonal subsidence induced by ground ice melt can be measured interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of depends on both how deep the soil thawed and much ice/water content existed soil. To provide later, P‐band polarimetric (PolSAR) backscatter is used due its sensitivity subsurface moisture freeze/thaw conditions. In this study, which second a two‐part series Permafrost Dynamics...
Retrogressive thaw slumps (RTS) are one of the most rapid abrupt events that have a positive feedback on climate warming. RTS not yet well understood because lack geospatial products describing distribution and changes over time in Arctic. Although many standalone digitisation data sets been archived, it is challenging to find, access pool existing into comprehensive unified due common curation standards. Therefore we collected known date compiled them scalable uniform set - Arctic Thaw...
Deep-learning (DL) models have become increasingly beneficial for the detection of retrogressive thaw slumps (RTS) in permafrost domain. However, comparing accuracy metrics is challenging due to unstandardized labeling guidelines. To address this, we conducted an experiment with 12 international domain experts from a broad range scientific backgrounds. Using 3m PlanetScope multispectral imagery, they digitized RTS footprints two sites. We evaluated label uncertainty by manually outlined...
Abstract. Permafrost-affected ecosystems of the Arctic–boreal zone in northwestern North America are undergoing profound transformation due to rapid climate change. NASA's Arctic Boreal Vulnerability Experiment (ABoVE) is investigating characteristics that make these vulnerable or resilient this ABoVE employs airborne synthetic aperture radar (SAR) as a powerful tool characterize tundra, taiga, peatlands, and fens. Here, we present an annotated guide L-band P-band SAR data acquired during...
The increasing number of flood events combined with coastal urbanization has contributed to significant economic losses and damage buildings infrastructure. Development higher resolution SAR mapping that accurately identifies features at all scales can be incorporated into operational forecasting tools, improving response resilience large events. Here, we present a comparison several methods for characterizing inundation using combination synthetic aperture radar (SAR) remote sensing data...
In permafrost regions, active layer thickness (ALT) observations measure the effects of climate change and predict hydrologic elemental cycling. Often, ALT is measured through direct ground-based measurements. Recently, synthetic aperture radar (SAR) measurements from airborne platforms have emerged as a method for observing seasonal thaw subsidence, soil moisture, in regions. This study validates SAR-derived estimates three regions Alaska, USA using calibrated ground penetrating (GPR)...
With the development of remote sensing technology, using images to do change detection is becoming a hotspot. This paper introduces research status pixel-based and object-based technology as well comments on several methods. A technique for by integrating intensity texture differences between two frames studied. An method based this proposed. Experimental results show that integrated measure robust with respect illumination changes noise, performance which outstanding especially when applied...