Research focuses on the intersection of hydrology, environmental science, and ecological remote sensing, with particular interests in the monitoring, modeling, and integrated assessment of ecosystem processes under climate change using remote sensing approaches. Advanced quantitative methods, including numerical simulation, machine learning, and multi model integration, are used to address complex environmental and ecological challenges. Current work emphasizes vegetation dynamics monitoring, ecological response analysis, and future change assessment, with the aim of improving understanding of ecosystem responses to environmental change. This research demonstrates strong interdisciplinary integration across remote sensing, hydrology, and ecology. And more than 10 SCI papers have been published in internationally recognized journals in hydrology, environmental science, and agroecology.
Research focuses on the intersection of hydrology, environmental science, and ecological remote sensing, with particular interests in the monitoring, modeling, and integrated assessment of ecosystem processes under climate change using remote sensing approaches. Advanced quantitative methods, including numerical simulation, machine learning, and multi model integration, are used to address complex environmental and ecological challenges. Current work emphasizes vegetation dynamics monitoring, ecological response analysis, and future change assessment, with the aim of improving understanding of ecosystem responses to environmental change. This research demonstrates strong interdisciplinary integration across remote sensing, hydrology, and ecology. And more than 10 SCI papers have been published in internationally recognized journals in hydrology, environmental science, and agroecology.