A5083736940- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Coastal and Marine Dynamics
- Spatial and Panel Data Analysis
- Flood Risk Assessment and Management
- Marine and coastal plant biology
- Robotics and Sensor-Based Localization
- Spectroscopy and Chemometric Analyses
- 3D Shape Modeling and Analysis
- Leaf Properties and Growth Measurement
- Coastal wetland ecosystem dynamics
- Image Processing and 3D Reconstruction
- Environmental and biological studies
- Optical Systems and Laser Technology
- Advanced Optical Sensing Technologies
- Hydrology and Sediment Transport Processes
- Groundwater and Watershed Analysis
- Forest ecology and management
- Species Distribution and Climate Change
- Karst Systems and Hydrogeology
- Urban Heat Island Mitigation
University of Chinese Academy of Sciences
2025
Shanghai Institute of Technical Physics
2025
Dalian Polytechnic University
2025
Southwest University
2018-2024
Boston University
2020-2024
With advantages of multispatial resolutions, a high retrieval accuracy, and temporal resolution, the satellite-derived land surface temperature (LST) products are very important LST sources. However, greatest barrier to their wide application is invalid values produced by large quantities cloudy pixels, especially for regions frequently swathed in clouds. In this study, an effective method based on energy balance theory similar pixels (SP) was developed reconstruct LSTs over widely used...
This study addresses the challenging issues in 3D point cloud feature matching within field of computer vision, where high data quality requirements and vulnerability to disturbances significantly impact performance. Existing methods are prone outliers when generating correspondences due noise, sampling deviations, symmetric structure, other factors. To improve robustness matching, this paper proposes a novel spatial encoding (3DSE) method that incorporates compact geometric constraints. Our...
Driven by the wave of digital transformation, corporate mergers and acquisitions (M&A) are exhibiting new trends. Based on theories related to M&A synergy, this paper explores motives strategic adjustment paths within context transformation. Using Alibaba's acquisition Ele.me as a case study, employs analysis method investigate driving factors behind Ele.me, including technology acquisition, market expansion, user resource integration, financial synergy. The research findings reveal...
In vegetation canopies cross-shading between finite dimensional leaves leads to a peak in reflectance the retro-illumination direction. This effect is called hot spot optical remote sensing. The hotspot region of vegetated surfaces represents most information-rich directions angular distribution canopy reflected radiation. paper presents new approach for generating signatures equatorial forests from synergistic analyses multiangle observations Multiangle Imaging SpectroRadiometer (MISR) on...
Abstract Inland lakes play a crucial role in monitoring global climate change and managing responses to extreme weather events, with lake elevation being critical for assessing their regulatory capacities. However, due the limited temporal resolution of current altimetry satellites, obtaining high-frequency, high-precision data water bodies remains challenging. Consequently, most studies utilize elevation-area (E-A) models constructed from historical area records, integrated observations...