A5080056117- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil Carbon and Nitrogen Dynamics
- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Remote Sensing and Land Use
- Soil Moisture and Remote Sensing
- Mineral Processing and Grinding
- Soil and Land Suitability Analysis
- Heavy metals in environment
- Peatlands and Wetlands Ecology
- Image Processing and 3D Reconstruction
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Soil and Water Nutrient Dynamics
- Hydrology and Watershed Management Studies
- Geology and Paleoclimatology Research
- Advanced Chemical Sensor Technologies
- Climate change and permafrost
- Environmental and Agricultural Sciences
- Agriculture and Rural Development Research
- Rangeland Management and Livestock Ecology
- Cryospheric studies and observations
Zhejiang University
2016-2025
Zhejiang University of Science and Technology
2021-2025
Beijing University of Posts and Telecommunications
2023-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2019-2023
State Key Laboratory of Remote Sensing Science
2022-2023
Center For Remote Sensing (United States)
2021-2023
Infosys (India)
2017-2022
Institute of Soil Science
2022
Chinese Academy of Sciences
2022
Institut Agro Rennes-Angers
2017-2021
Soils constitute one of the most critical natural resources and maintaining their health is vital for agricultural development ecological sustainability, providing many essential ecosystem services. Driven by climatic variations anthropogenic activities, soil degradation has become a global issue that seriously threatens environment food security. Remote sensing (RS) technologies have been widely used to investigate as it highly efficient, time-saving, broad-scope. This review encompasses...
Soil erosion can present a major threat to agriculture due loss of soil, nutrients, and organic carbon. Therefore, soil modelling is one the steps used plan suitable protection measures detect hotspots. A bibliometric analysis this topic reveal research patterns characteristics that help identify needed enhance conducted in field. detailed analysis, including investigation collaboration networks citation patterns, should be conducted. The updated version Global Applications Erosion Modelling...
In the context of increasing soil degradation worldwide, spatially explicit information is urgently needed to support decision-making for sustaining limited resources. Digital mapping (DSM) has been proven as an efficient way deliver from local global scales. The number environmental covariates used DSM rapidly increased due growing volume remote sensing data, therefore variable selection necessary deal with multicollinearity and improve model parsimony. Compared Boruta, recursive feature...
Soil health plays a crucial role in crop production, both terms of quality and quantity, highlighting the importance effective methods for preserving soil to ensure global food security. indices (SQIs) have been widely utilized as comprehensive measures function by integrating multiple physical, chemical, biological properties. Traditional SQI analysis involves laborious costly laboratory analyses, which limits its practicality. To overcome this limitation, our study explores use visible...
Salinization is a threat to global agricultural and soil resource allocation. Current investigations of salinity are limited coarse spatial resolution the available datasets (>250 m) semiqualitative classification rules (five ranks). Based on these two limitations, we proposed framework quantitatively estimate salt content in five climate regions at 10 m by integrating Sentinel-1/2 remotely sensed images, climate, parent material, terrain data, machine learning. In hyper-arid arid region,...
Accurate and timely acquisition of soil information is crucial for precision agriculture, food security, environmental protection. Proximal visible near-infrared reflectance (vis–NIR) spectroscopy has been widely employed rapid accurate measurement, but its point measurement nature limits direct applicability large-scale surveys. On the other hand, remote sensing techniques can provide at a larger scale, their resolution relatively coarse. While both have used independently analyses,...
Summary We need to determine the best use of soil vis– NIR spectral libraries that are being developed at regional, national and global scales predict properties from new readings. To reduce complexity a calibration dataset derived C hinese library ( CSSL ), we tested local regression method combined geographical sub‐setting with partial least squares (local‐ PLSR ) uses limited number similar spectra k ‐nearest neighbours). The central idea regression, other statistical approaches, is...
Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted traditional laboratory physical and chemical analyses because of the cost, low efficiency workload involved. This study explored a rapid approach to assess metals contamination in 301 farmland soils from Fuyang Zhejiang Province, southern Yangtze River Delta, China, using portable proximal sensors. Portable X-ray fluorescence spectroscopy (PXRF) was used determine total concentrations while pH...
Soil organic matter (SOM) and pH are essential soil fertility indictors of paddy in the middle-lower Yangtze Plain. Rapid, non-destructive accurate determination SOM is vital to preventing degradation caused by inappropriate land management practices. Visible-near infrared (vis-NIR) spectroscopy with multivariate calibration can be used effectively estimate properties. In this study, 523 samples were collected from fields Plain, China. Four machine learning approaches-partial least squares...