A5009044735- Plant Ecology and Soil Science
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
State Key Laboratory of Remote Sensing Science
2024
Beijing Normal University
2024
Nanjing Tech University
2022
The “Kökyar Greening Project” in the suburb of Aksu, Xinjiang, is a model large-area artificial afforestation an environment drought and water scarcity. As important part “3-North Shelter Forest Program”, it plays role promoting economic development environmentally friendly construction Aksu even whole Xinjiang region. Based on multisource remote-sensing data meteorological observation data, this study explored temporal spatial changes vegetation parameters (FVC, NPP, VEQI) ecological (RSEI...
Abstract Accurate streamflow prediction in human‐regulated catchments remains a formidable challenge due to the complex disturbance of hydrological processes. To consider human modeling, this study introduces novel static attribute collection that combines river‐reach attributes with catchment attributes, referred as multiscale attributes. The is assembled into two deep learning (DL) methods, is, Long Short‐Term Memory (named Multiscale LSTM) and Differentiable Parameter Learning (DPL)...