A5001596369- Remote Sensing and Land Use
- Marine and coastal ecosystems
- Water Quality Monitoring and Analysis
- Water Quality and Pollution Assessment
- Remote Sensing in Agriculture
- Aquatic Ecosystems and Biodiversity
- Oil Spill Detection and Mitigation
- Water Quality Monitoring Technologies
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Aquatic Ecosystems and Phytoplankton Dynamics
Northwest A&F University
2024
Tianjin Agricultural University
2021-2022
The Haihe River is a typical sluice-controlled river in the north of China. construction and operation sluice dams change flow other hydrological factors rivers, which have adverse effects on water, making it difficult to study characteristics water quality environment control northern rivers. In recent years, remote sensing has been widely used monitoring. However, due low signal-to-noise ratio (SNR) limitation instrument resolution, satellite still challenge inland Ground-based...
The leaf area index (LAI) and chlorophyll content (LCC) are key indicators of crop photosynthetic efficiency nitrogen status. This study explores the integration UAV-based multispectral (MS) thermal infrared (TIR) data to improve estimation maize LAI LCC across different growth stages, aiming enhance (N) management. In field trials from 2022 2023, UAVs captured canopy images under varied water treatments, while were measured. Estimation models, including partial least squares regression...
This study combines object-based image analysis (OBIA) and deep learning (DL) techniques for automatic risk source extraction assessment in drinking water sources using high-spatial-resolution (HSR) imagery. HSR images are first segmented to obtain the object primitives (OP), DL training samples collected based on OPs. U-Net semantic segmentation classification methods then used extract targets. Analytic hierarchy process (AHP) method is weights of sources. The model established which...