A5026965163- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Remote Sensing and Land Use
- Climate change and permafrost
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing in Agriculture
- Landslides and related hazards
- Environmental Changes in China
- Land Use and Ecosystem Services
- Fire effects on ecosystems
- Species Distribution and Climate Change
- Soil and Unsaturated Flow
- Remote-Sensing Image Classification
- Climate variability and models
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Aquatic Ecosystems and Phytoplankton Dynamics
- Meteorological Phenomena and Simulations
- Water Quality and Pollution Assessment
- Microfinance and Financial Inclusion
- Water Resources and Sustainability
- Water Quality Monitoring and Analysis
- Arctic and Antarctic ice dynamics
Hohai University
2021-2025
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2022-2025
Ministry of Water Resources of the People's Republic of China
2025
Monash University
2016-2024
Nanjing Hydraulic Research Institute
2022
University of Michigan
2019
Nanjing University
2013-2016
South China Institute of Collaborative Innovation
2016
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2016
Ghana Institute of Management and Public Administration
2015
The moisture retrieval depth is commonly held to be the approximately top 5 cm at L-band (~21-cm wavelength/1.41 GHz), which seen as a limitation for hydrological applications. A widely view that this increases with wavelength, ranging from one-tenth one-fourth of wavelength. Accordingly, P-band (~40-cm wavelength/0.75 GHz) under investigation soil observation over deeper layer soil. However, there no accepted method predicting depth, and has been study confirm actual indeed than achieved...
The fourth and fifth Soil Moisture Active Passive Experiments (SMAPEx-4 -5) were conducted at the beginning of SMAP operational phase, May September 2015, to: 1) evaluate microwave observations derived soil moisture (SM) products 2) intercompare with Ocean Salinity (SMOS) Aquarius missions over Murrumbidgee River Catchment in southeast Australia. Airborne radar radiometer same frequencies as collected footprints/grids concurrent its overpass. In addition, intensive ground sampling SM,...
Background Live fuel moisture content (LFMC) is a key environmental indicator used to monitor for high wildfire risk conditions. Many statistical models have been proposed predict LFMC from remotely sensed data; however, almost all these estimate current (nowcasting models). Accurate modelling of in advance (projection models) would provide managers with more timely information assessing and preparing risk. Aims The aim this study was investigate the potential deep learning across...
This study developed a random forest approach for downscaling the coarse-resolution (36 km) soil moisture measured by The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) mission to 1 km spatial resolution, utilizing airborne remotely sensed data (radar backscatter radiometer retrieved moisture), vegetation characteristics (normalized difference index), properties, topography, ground measurements from before launch of SMAP training model. 36 product...
Since industrialization, global carbon dioxide (CO2) emissions have been rising substantially, playing an increasingly important role in warming and climate change. As the largest CO2 emitter, China has proposed ambitious reduction plan of peaking before 2030 achieving neutrality by 2060. Calculation inventories at regional scales (e.g., city county) great significance terms China’s policies as well national targets. However, most existing data were calculated based on fossil fuel...
The intensification of global climate change and human activities has made drought one the most severe challenges, bringing unprecedented challenges to hydrological water resource system. Although several studies have been conducted on droughts, few examined response relationship between droughts energy balance. This study uses multi-year detection Budyko framework investigate impact runoff changes, with a focus differences non-drought conditions. results indicate that (1) sensitivity...