A5083560587- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Remote Sensing and Land Use
- Cryospheric studies and observations
- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Meteorological Phenomena and Simulations
- Advanced Computational Techniques and Applications
- Land Use and Ecosystem Services
- Environmental Changes in China
- Soil Carbon and Nitrogen Dynamics
- Landslides and related hazards
- Tree-ring climate responses
- Ecology and Vegetation Dynamics Studies
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Underwater Acoustics Research
- Oceanographic and Atmospheric Processes
- Fungal Plant Pathogen Control
- Species Distribution and Climate Change
- Soil and Water Nutrient Dynamics
- Soil Geostatistics and Mapping
University of Chinese Academy of Sciences
2016-2025
Northwest A&F University
2023
Griffith University
2022
The University of Texas at El Paso
2014-2015
Chinese Academy of Sciences
2004-2014
Research Center for Eco-Environmental Sciences
2010
Shenyang Institute of Automation
2007
Zhaotong University
2004
Institute of Geographic Sciences and Natural Resources Research
2004
Taiyuan University of Science and Technology
2000
Grassland located in the arid and semi-arid ecosystems has an evident ecological fragility is easily vulnerable to climatic variations. Although several studies have shown close relationship between net primary production (NPP) seasonal or annual climate changes, it currently unclear that whether such response regions associated with grassland types different physiological characteristics, especially ecosystem of Inner Mongolia spans meadow-typical-desert steppe. This study used NPP...
Structural information of grassland changes on the Tibetan Plateau is essential for understanding alterations in critical ecosystem functioning and their underlying drivers that may reflect environmental changes. However, such at regional scale still lacking due to methodological limitations. Beyond remote sensing indicators only recognizing vegetation productivity, we utilized multivariate data fusion deep learning characterize formation-based plant community structure alpine grasslands...
The alpine grassland on the Qinghai-Tibet Plateau covers an area of about 1/3 China’s total and plays a crucial role in regulating ecological functions. Both environmental changes irrational use can result severe degradation some areas Plateau. However, magnitude patterns physical anthropogenic factors driving variation over northern Tibet remain debatable, interactive influences among those are still unclear. In this study, we employed geographical detector model to quantify primary impacts...
Land surface soil moisture (SSM) is crucial to research and applications in hydrology, ecology, meteorology. To develop a SSM retrieval model for bare soil, an elliptical relationship between diurnal cycles of land temperature (LST) net shortwave radiation (NSSR) described further verified using data that were simulated with the Common Model (CoLM) simulation. In addition, stepwise linear regression, multi-linear developed retrieve daily average terms ellipse parameters x0 (horizontal...
The soil dielectric constant model is essential for retrieving properties based on microwave remote sensing. However, the existing saline models perform poorly in simulating of with high water content and salinity. In this study, Wang Yueru (WYR) model, which was demonstrated to well describing effect salinity moisture constant, validated experimental measurements samples under different degrees. Furthermore, we adjusted form, refitted empirical coefficient finally acquired a two-stage...
In this investigation, the antifungal activity, its influence on quality of apples, and molecular mechanism natamycin against Colletotrichum fructicola were systematically explored. Our findings indicated that showed significant inhibition C. fructicola. Moreover, it efficaciously maintained apple by modulating physicochemical index. Research altered mycelial microstructure, disrupted plasma membrane integrality, decreased ergosterol content Interestingly, exogenous addition weakened...
MODIS (Moderate Resolution Imaging Spectroradiometer) is a kind of new weather satellite data. Few images obtained are all clear sky and they always influenced by cloud more or less. Cloud large obstacle to remote sensing image processing analysis the while. In order extract objective information effective, should be removed from images, which an essential sector in preprocessing. detection most important before removing cloud. Taking it into account that data includes thirty-six bands,...
由于星载热红外传感器研发技术的局限性,单一传感器尚不能提供兼具高频次、高空间分辨率地表温度数据。协同其他遥感辅助数据,对低空间分辨率、高时间频次地表温度产品开展降尺度研究成为了解决这一难题的有效途径。然而由于现有地表温度降尺度方法未充分考虑不同地表状态参数对地表温度空间分异格局的尺度影响差异,降尺度后的地表温度数据在异质性景观区域存在精度较差和空间纹理不清晰的问题。鉴于此,本文以北京和张掖地区的8期MODIS地表温度产品为例,通过引入多尺度地理加权回归MGWR(Multiscale Geographically Weighted...
<title>Abstract</title> Ecosystem hysteresis, the occurrence of irreversible state transitions due to external disturbances, is a prevalent phenomenon in dynamic ecosystems. Understanding hysteresis essential for predicting ecosystem responses and developing effective restoration strategies. However, intrinsic dynamics quantifying positive-negative feedback driving its intensity remain undisclosed. We introduce quantitative framework address by assessing states loops, which diverges from...
Abstract Tree restoration can cool or warm the local climate through biophysical processes. However, magnitude of these effects remains unconstrained at large scales, as most previous observational studies rely on land surface temperature (Ts) rather than more policy-relevant air (Ta). Using satellite observations, we show that Ta responds to tree cover change only 15–30% observed in Ts. This difference is supported by independent evidence from site and be attributed reduced aerodynamic...
Abstract Land surface soil moisture (SSM) is an important variable for hydrological, ecological, and meteorological applications. A multi‐linear model has recently been proposed to determine the SSM content from combined diurnal evolution of both land temperature (LST) net shortwave radiation (NSSR) with parameters TN (the LST mid‐morning rising rate divided by NSSR during same period) t d time daily maximum temperature). However, in addition problem that all coefficients depend on...
The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in world. Several studies have been conducted on dynamic changes grassland HKH region, but few considered net ecosystem productivity (NEP). In this study, we quantitatively analyzed temporal and spatial NEP magnitude influence climate factors from 2001 to 2018. was obtained by calculating difference between primary production (NPP) estimated Carnegie–Ames Stanford Approach (CASA) model heterotrophic...
Click to increase image sizeClick decrease size Acknowledgments This research was supported by the following grants: Knowledge Innovation Key Project (KZCX-SW-317/CX10G-E01-08), Chinese Academy of Sciences and director's grant Institute Geographical & Natural Resources Research, Sciences. It also financially ACT-JST: Research Development for Applying Advanced Computational Science Technology Japan Corporation.
Precipitable water vapor (PWV) is one of the most variable components atmosphere in both space and time. In this study, a passive microwave-based retrieval algorithm for PWV over land without surface temperature (LST) data was developed. To build algorithm, two assumptions exist: (1) emissivities (LSE) at adjacent frequencies are equal (2) there simple parameterizations that relate transmittance, atmospheric effective radiating temperature, PWV. Error analyses were performed using radiosonde...
Surface soil moisture (SSM) is a critical variable for understanding water and energy flux between the atmosphere Earth's surface. An easy to apply algorithm deriving SSM time series that primarily uses temporal parameters derived from simulated in situ datasets has recently been reported. This must be assessed different biophysical atmospheric conditions by using actual geostationary satellite images. In this study, two currently available coarse-scale (microwave reanalysis product)...
Surface soil moisture (SSM) plays significant roles in various scientific fields, including agriculture, hydrology, meteorology, and ecology. However, the spatial resolutions of microwave SSM products are too coarse for regional applications. Most current optical/thermal infrared retrieval models cannot directly estimate quantitative volumetric water content without establishing empirical relationships between ground-based measurements satellite-derived proxies SSM. Therefore, this paper, is...
It is crucial to maintain the balance of economic development and ecosystem protection. The value services an indicator help people understand importance Traditional models estimate service values only according land use/cover data while ignoring vegetation status differences in same use/cover. This study uses normalized difference index (NDVI), leaf area (LAI), net primary productivity (NPP) as describe type. principal component analysis (PCA) approach used reduce correlations among three...
Vegetation water content (VWC) is an important parameter of agriculture and forestry. In this letter, specific polarization ratios were evaluated for estimating VWC corn soybean. Backscattering coefficients (σ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">hh</sub> , σ xmlns:xlink="http://www.w3.org/1999/xlink">vv</sub> xmlns:xlink="http://www.w3.org/1999/xlink">vh</sub> xmlns:xlink="http://www.w3.org/1999/xlink">hv</sub> ), /σ ,σ the radar...