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Assist. Prof. Dr. jinming yang | Remote sensing disaster detection | Best Researcher Award

Dr. JinMing Yang is an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. With a Ph.D. in Geography from Xinjiang University, his expertise lies in snow ecohydrology and disaster science in arid regions. His research integrates physical experiments, remote sensing technologies, and mathematical modeling to study snow and avalanche phenomena, focusing on precipitation-ice-snow runoff processes and snow disaster assessment. He has developed advanced remote sensing models for detecting avalanche debris and contributed significantly to understanding the dynamic evolution of mountain disasters. He has published influential articles in SCI-indexed journals, including innovations in automatic avalanche detection using C-band SAR data. He serves as a reviewer for Cold Regions Science and Technology and holds membership in the Xinjiang Natural Resources Society. His scientific contributions are helping to improve snow safety and disaster risk management, making him a prominent figure in his field.

Profile

🎓 Education

Dr. JinMing Yang earned his Ph.D. in 2017 from Xinjiang University, China, majoring in Geography with a specialization in Physical Geography. His doctoral studies provided a strong foundation in environmental and geospatial sciences, with a specific focus on the cryosphere in arid regions. He received intensive training in field-based observation, experimental research, remote sensing data analysis, and mathematical modeling techniques. Throughout his academic career, he has demonstrated a high level of scientific rigor and innovation, especially in integrating electromagnetic spectrum characteristics with snow and avalanche studies. His education combined theoretical depth with applied research, equipping him with the skills to investigate ecohydrological processes, snow accumulation dynamics, and avalanche risk modeling. This academic background not only enhanced his capacity for independent research but also prepared him for interdisciplinary collaborations aimed at understanding and mitigating natural disasters in vulnerable mountainous terrains.

🧪 Experience

Since completing his Ph.D., Dr. JinMing Yang has served as an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. He has accumulated significant experience in snow ecohydrology, particularly within arid and mountainous environments. His work centers on monitoring and modeling snow-related hazards using advanced remote sensing technologies, including SAR data, to improve avalanche detection accuracy. He led a National Natural Science Foundation of China project focused on spatiotemporal evolution of avalanches in the western Tianshan Mountains, employing multi-modal electromagnetic spectrum coupling. Dr. Yang has also contributed to disaster risk assessment frameworks and snow safety strategies, often working with cross-disciplinary teams. His methodological expertise in fusing remote sensing, geostatistics, and simulation models makes him an asset in both academic and practical contexts. Additionally, his editorial and peer-review contributions reflect his growing leadership in the cryosphere and natural hazards research community.

🏅 Awards and Honors

Dr. JinMing Yang has emerged as a notable young researcher in the field of snow disasters and mountain hazard assessment. While specific awards are not listed in the provided information, his nomination for the “Best Researcher Award” highlights his recognized excellence and impact in scientific research. His groundbreaking work on avalanche detection using SAR data and multi-source model integration has earned him reviewer responsibilities for prestigious journals like Cold Regions Science and Technology. His citation index of 29 indicates growing academic recognition, and his project funding from the National Natural Science Foundation of China signifies trust in his expertise and innovative capacity. His active role in professional societies like the Xinjiang Natural Resources Society further reflects his integration into influential academic networks. His contributions are instrumental in shaping practical policies for snow safety in arid mountain environments, positioning him as a strong candidate for national and international research accolades.

🔬 Research Focus

Dr. JinMing Yang’s research is focused on snow ecohydrology and disaster risk modeling in arid and mountainous regions, with snow as the central element. He explores the precipitation-ice-snow runoff process and studies the mechanisms driving avalanche formation and development. A major aspect of his work involves remote sensing-based detection and assessment of snow disasters, particularly the use of SAR data to automate avalanche debris identification. His innovative research has led to the development of independently constructed models combining multi-source variables to quantify avalanche risk spatially and temporally. He also investigates the seasonal dynamics and causal variable influences on avalanche behavior, contributing to mountain safety science. These models offer insights into hazard evolution, aiding in effective disaster prevention and response. His methodology relies heavily on geospatial analysis, electromagnetic spectrum modeling, and simulation techniques, bridging theoretical understanding with real-world applications for environmental safety and planning.

Conclusion

Dr. JinMing Yang stands out as an accomplished researcher whose innovative contributions to snow ecohydrology and remote sensing-based disaster assessment have advanced scientific understanding and practical management of snow-related hazards in arid mountain regions.

Publications
  • Dynamic spatiotemporal quantification of avalanches in the Central Tianshan Mountains by integrating air–space–ground collaborative sensing and snow field–terrain filters

    International Journal of Digital Earth
    2024-12-31 | Journal article
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: JinMing Yang; LanHai Li; Yang Liu
  • Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

    International Journal of Digital Earth
    2024-12-31 | Journal article
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: Yang Liu; Jinming Yang; Xi Chen; Junqiang Yao; Lanhai Li; Yubao Qiu
  • Snow avalanche susceptibility mapping from tree-based machine learning approaches in ungauged or poorly-gauged regions

    CATENA
    2023-05 | Journal article
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Jinming Yang; Lanhai Li; Tingting Wang
  • Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China

    Remote Sensing
    2022-03-10 | Journal article
    Part ofISSN: 2072-4292
    CONTRIBUTORS: Jinming Yang; Qing He; Yang Liu
  • Mapping snow avalanche debris by object-based classification in mountainous regions from Sentinel-1 images and causative indices

    CATENA
    2021-11 | Journal article
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Yubao Qiu; Jiansheng Hao; Jinming Yang; Lanhai Li
  • Assimilation of D-InSAR snow depth data by an ensemble Kalman filter

    Arabian Journal of Geosciences
    2021-03 | Journal article
    Part of ISSN: 1866-7511
    Part of ISSN: 1866-7538
    CONTRIBUTORS: Jinming Yang; Chengzhi Li
Jinming yang | Remote sensing disaster detection | Best Researcher Award

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