A5021230706- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Remote Sensing in Agriculture
- Climate change and permafrost
- Precipitation Measurement and Analysis
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Climate variability and models
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Plant Water Relations and Carbon Dynamics
- Soil and Land Suitability Analysis
- Radiation Effects in Electronics
- Physical Unclonable Functions (PUFs) and Hardware Security
- Complex Network Analysis Techniques
- Landslides and related hazards
- VLSI and Analog Circuit Testing
- Leaf Properties and Growth Measurement
- Rangeland Management and Livestock Ecology
- Remote-Sensing Image Classification
- Plant responses to elevated CO2
- Conservation, Biodiversity, and Resource Management
- Soil erosion and sediment transport
- Geographic Information Systems Studies
Xi'an Jiaotong University
2022-2024
Aerospace Information Research Institute
2022-2023
Chinese Academy of Sciences
2020-2023
State Key Laboratory of Remote Sensing Science
2022-2023
Institute of Geographic Sciences and Natural Resources Research
2020-2023
Shandong University of Science and Technology
2022
Zhejiang University
2016-2020
Zhejiang Environmental Monitoring Center
2017
Ministry of Education of the People's Republic of China
2017
Zhejiang University of Science and Technology
2017
Abstract. Surface soil moisture (SSM) is crucial for understanding the hydrological process of our earth surface. The passive microwave (PM) technique has long been primary tool estimating global SSM from view satellites, while coarse resolution (usually >∼10 km) PM observations hampers its applications at finer scales. Although quantitative studies have proposed downscaling satellite PM-based SSM, very few products available to public that meet qualification 1 km and daily revisit cycles...
Abstract Using optical remote sensing data to downscale microwave soil moisture is currently a crucial technique for producing fine‐resolution set at large scales. Conventional downscaling models are mainly developed and evaluated in arid or semi‐arid regions, but have serious limitation humid regions. To improve estimates under wide range of climate regimes, this study nonlinear enhanced model it typical resolution over the contiguous China. The clearly outperforms conventional approach...
In cold regions, the coexistence and interconversion of liquid water ice in frozen soils have important implications for energy partitioning surface runoff at Earth's surface. Passive microwave remote sensing is crucial global monitoring soil moisture (SM). However, current research on SM focuses mainly unfrozen conditions. Limited studies been conducted variations content throughout freezing season. This study investigated potential use brightness temperature (TB) observations from Soil...
Oilseed rape (Brassica napus L.) is one of the three most important oil crops in China, and regarded as a drought-tolerant oilseed crop. However, it commonly sensitive to waterlogging, which usually refers an adverse environment that limits crop development. Moreover, growth soil irrigation can be monitored at regional level using remote sensing data. High spatial resolution optical satellite sensors are very useful capture resist unfavorable field conditions sub-field scale. In this study,...
Estimating accurately evapotranspiration (ET) in urban ecosystems is difficult due to the complex surface conditions and a lack of fine measurement vegetation dynamics. To overcome such difficulties using recent developments remote sensing technology, we estimate leaf area index (LAI) from Sentinel-2-based Normalized Difference Vegetation Index (NDVI) NDVI–LAI nonlinear relationship. By applying LAI land cover classification (LCC) carbon-water coupling model (PML-V2.1) with meteorological...
Fusion of thermal infrared (TIR) and passive microwave (PMW) observations are important techniques for estimating all-weather land surface temperature (LST) relatively higher resolutions. For such fusion under cloudy weather, PMW especially useful in correcting the cloud-shadowing bias real LST against a theoretically clear-sky one daytime. However, have very limited transit times day, cannot be fused with asynchronous TIR data as can vary significantly during To overcome this flaw, we...
Abstract Approximately 10% of China’s grasslands are severely degraded and 90% them overgrazed. To protect ecosystems boost human well-being, payments for ecosystem services programs have been implemented to generate win-win outcomes pastoralists the grasslands. Taking a payment program in Damao County, Inner Mongolia as an example, our study evaluated ecological effects Grassland Ecological Compensation Policy (GECP) based on historical trends at pixel, parcel, county levels. We also...
The land parameter retrieval model (LPRM) has been widely used for the of microwave-based global surface soil moisture (SSM). In original LPRM algorithm, effective temperature (SSET) was retrieved from Ka-band (36.5 GHz) brightness (BT) and then as input data estimation SSM. this study, SSET Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) BT validated against MODIS (LST) data, results show that when fraction water (FWS) within an AMSR-E pixel increases in range 0-0.01...
Satellite-derived land surface temperature (LST) data are most commonly observed in the longwave infrared (LWIR) spectral region. However, such suffer frequent gaps coverage caused by cloud cover. Filling these ‘cloud gaps’ usually relies on statistical re-constructions using proximal clear sky LST pixels, whilst this is often a poor surrogate for shadowed LSTs insulated under cloud. Another solution to rely passive microwave (PM) that largely unimpeded cover impacts, quality of which,...
Locusta migratoria manilensis is one of the major migratory locusts in China which prefers phragmites australis (Cav.) Trin.ex Steudel (here after called reed). Locust damage agricultural pests world has a serious impact on production. With development optical remote sensing techniques, detection plant diseases and by measurements canopy spectra been implemented wheat, barely leaves, cotton, etc. However, rare studies have focused reed, especially estimation loss component caused locust...
Paddy rice is one of the main grain crops in China. Accurate evaluation planted area and spatial distribution are significant for estimation ofgrain output cropland allocation. Meanwhile, paddy a contributor to greenhouse gas emissions therefore its cultivation have implications rising temperatures global climate change. In southeast China, even though widely cultivated, field highly fragmented by other land use/cover. The difficulty mapping small fields further exacerbated cloudy weather...
The ecological environment is the basis of human survival and development. Effective methods to monitor are essential for healthy development settlements. At present, based on remote sensing images other basic data have played key roles in monitoring, providing support decision-making local protection. However, these obvious limitations. On one hand, they cannot reflect feelings beings about which live. it difficult capture more detailed information environment. Non-professional observation...
The leaf area index (LAI) provides critical information about vegetation density and vitality, the temporal feature of field crops' green LAI could provide valuable growing status, including environmental stresses, crops. Quantitatively mapping spatial variations crop growth conditions has been enabled by emerging a large number remote sensing data at various resolutions recently. indices (VIs) composed different bands satellite generally show close relationships with biophysical or...