A5084494745- Remote Sensing in Agriculture
- Geochemistry and Geologic Mapping
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Wildlife-Road Interactions and Conservation
- Environmental Changes in China
- Leaf Properties and Growth Measurement
- Atmospheric and Environmental Gas Dynamics
- Remote-Sensing Image Classification
- Precipitation Measurement and Analysis
- Land Use and Ecosystem Services
- Climate variability and models
- Forest ecology and management
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Flood Risk Assessment and Management
- Soil Geostatistics and Mapping
- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Urban Heat Island Mitigation
- Rangeland Management and Livestock Ecology
- Hydrology and Watershed Management Studies
- Soil and Unsaturated Flow
- Hydrology and Sediment Transport Processes
- Soil Moisture and Remote Sensing
Zaozhuang University
2023-2024
University of Chinese Academy of Sciences
2020-2024
There are numerous ecological challenges that of considerable concern caused by urbanization and natural calamities. The spatial pattern the landscape is great significance in maintaining species diversity regulating material cycles individual ecophysiological processes as a medium for ecosystem service functions. Resolving conflicting relationships between people land necessitates precise identification essential sources. Therefore, there an urgent need to investigate relationship sources...
Monitoring the water level and volume changes of lakes reservoirs is essential for deepening our understanding temporal spatial dynamics resources in Yellow River Basin, with a view to better utilizing managing resources. In recent years, there have been many studies on monitoring inland waters, but they were mainly focused radar altimetry full waveform LiDAR ICESat, which was retired 2010. Few based latest photon-counting ICESat-2 reported. Compared previous sensors, has great advantages...
Leaf area parameters are crucial in ecosystem studies. As ecophysiological models advance toward finer detail, accurately estimating LA at various scales becomes essential, particularly for diverse units like urban individual trees. Several algorithms based on terrestrial laser scanning (TLS) data have been developed to obtain the of However, their use stand level needs further research. In this study, comparative shortest-path algorithm (CSP) is introduced automatic tree segmentation,...
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) employs a unique multibeam photon counting approach to acquire near-continuously sampled profile provides more precise technology for mapping the leaf area index (LAI) at global scale. inversion accuracy of LAI is affected by clumping effect, which has been an open question spaceborne laser scanning (SLS). Here, we present segmented method based on path length distribution model calculate clumping-corrected independently using...
Evapotranspiration (ET) is an essential parameter in the water cycle and surface energy balance. Accurate estimation of daytime or daily ET great significance for many activities human economic social development. This study aims to propose a novel method estimating average by using temporal measurements land temperature (LST) net shortwave radiation (NSSR), following previous developed elliptical relationship between diurnal cycles LST NSSR under cloud-free days. The was primarily from...
Changes in hydrothermal conditions have significant effects on vegetation, but there is still a lack of understanding how vegetation responds to land surface (surface temperature and soil moisture) meteorological (temperature precipitation) mountain regions. This study examined the trends leaf area index (LAI) Yan Mountains over last four decades using Global Land Surface Satellite (GLASS) data. The results showed persistent increase LAI (greening) 20 % 80 growing season, spring, summer...
Obtaining soil heavy metal content characteristics and spatial distribution is crucial for preventing pollution formulating environmental protection policies. We collected 304 surface samples (0-20 cm) in the Changqing district. At same time, spectral, temporal, features of metals were derived from multi-remote sensing data; temporal-spatial-spectral closely related to selected via correlation analysis used as input independent variables. The measured arsenic (As) was dependent variable...
The understanding of the interplay between environment, ecosystem structure, and function is crucial for effectively managing ecosystems in face climate change environmental disturbances. Numerous observations simulation experiments relying on correlation analysis have yielded conclusion that factors can directly or indirectly affect community structure function. However, limitations traditional ecological approaches lie their inadequate control over confounding factors, thus hindering our...
Soil salinity plays a key role in influencing the soil dielectric constant and backscatter coefficient. However, moisture (SM) retrieval models constructed based on active microwave data hardly consider salinity. Thus, obtaining SM datasets with various regional local scales is difficult. This study aimed to employ theoretical model simulation investigate errors of due not considering impact Then, three typical saline were validated compared experimental measurement datasets. Results show...
5 | CONCLUSIONThe interannual vegetation activity on the Tibetan Plateau shows an overall increasing trend, but there is strong spatial heterogeneity. The NDVI of alpine desert increased most significantly all studied types.