A5015636269- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Urban Heat Island Mitigation
- Hydrology and Drought Analysis
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Climate change and permafrost
- Aeolian processes and effects
- Remote Sensing and Land Use
- Forest ecology and management
- Species Distribution and Climate Change
- Hydrology and Watershed Management Studies
- Tree-ring climate responses
- Plant Ecology and Soil Science
- Flood Risk Assessment and Management
University of Chinese Academy of Sciences
2024-2025
Institute of Geographic Sciences and Natural Resources Research
2024-2025
Chinese Academy of Sciences
2025
Southwest University
2022-2024
Drought can cause severe agricultural economic losses and hinder social development. To manage drought, the process of drought events needs to be described with help an effective indicator. As a comprehensive variable, soil moisture is essential indicator for describing drought. In this work, extreme in southwest China were analysed by Global Land Data Assimilation System (GLDAS) root zone data set. define quantitatively, Standardized Soil Moisture Index (SSMI) was calculated using data,...
Land surface temperature (LST) is a crucial parameter in the study of Surface processes. Currently, there are great progresses LST retrieval based on thermal infrared (TIR) remote sensing. However, TIR-based suffers from serious spatial discontinuities due to clouds. Although methods developed address this issue, show high uncertainty days with extremely Therefore, proposed an integrated method reconstruct cloudy LSTs using Terra Moderate Resolution Imaging Spectroradiometer (MODIS) and...
Many vegetation phenological models predominantly rely on temperature, overlooking the critical roles of water availability and soil characteristics. This limitation significantly impacts accuracy projections, particularly in water-limited ecosystems. We proposed a new approach incorporating enthalpy-a comprehensive metric integrating moisture, texture-to improve modeling. Using an extensive dataset combining FLUXNET observations, solar-induced fluorescence (SIF), meteorological data across...
Forest fires are one of the most severe natural disasters facing global ecosystems, as they have a significant impact on ecological security and social development. As remote sensing technology has developed, burned areas can now be quickly extracted to support fire monitoring post-disaster recovery. This study focused forest that occurred in Chongqing, China, August 2022. The area was identified using various satellite images, including Sentinel-2, Landsat8, Environmental Mitigation II A...
Drought is a meteorological phenomenon that negatively impacts agricultural production. In recent years, southwest China has frequently experienced droughts; these have significantly impacted the economy and ecological environment. Although several studies been conducted on droughts, few examined factors driving droughts from perspective of water energy balance. This study aimed to address this gap by utilizing Standardized Soil Moisture Index (SSMI) Budyko model investigate drought in...
This study aims to examine the individual and combined effects of soil moisture (SM) vapor pressure deficit (VPD) on ecosystem productivity in Southwest China. Utilizing community land model (CLM) simulate regional deficit, we analyzed their impacts through a data binning approach employed sun-induced chlorophyll fluorescence yield (SIFyield) as indicator. Our findings highlight significant coupling effect between SM VPD, which diminishes with finer temporal resolution. The analysis...
Abstract Drought is considered as a key factor restricting the growth of plants. It critical to investigate impact drought stress on vegetation and understand respective effects Soil Moisture (SM) Vapor Pressure Difference (VPD) ecosystem production for ecological sustainability. For Southwest China, impacts VPD SM productive capacity regional ecosystems are still unknown. To capture over Solar-induced fluorescence (SIF) was selected reliable indicator applied analyze using data binning. In...