A5049217145- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Coastal wetland ecosystem dynamics
- Forest ecology and management
- Environmental Changes in China
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Plant responses to water stress
- Environmental and Agricultural Sciences
- Advanced Computational Techniques and Applications
- Coastal and Marine Dynamics
- 3D Surveying and Cultural Heritage
- Plant Water Relations and Carbon Dynamics
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Aeolian processes and effects
- Atmospheric and Environmental Gas Dynamics
- Advanced Image Processing Techniques
- Soil Geostatistics and Mapping
- Satellite Image Processing and Photogrammetry
- Soil Moisture and Remote Sensing
- Forest Ecology and Biodiversity Studies
- Image Processing Techniques and Applications
- Evaluation Methods in Various Fields
- Peatlands and Wetlands Ecology
University of Electronic Science and Technology of China
2016-2025
East China Normal University
2018-2024
Fuzhou University
2012-2024
North China University of Water Resources and Electric Power
2024
Ministry of Natural Resources
2023-2024
Jinan University
2024
Huzhou University
2021-2023
Shanghai Estuarine & Coastal Science Research Center
2022
Yunnan Provincial Science and Technology Department
2018-2021
Yunnan Provincial Department of Education
2019
The leaf area density (LAD) within a tree canopy is very important for the understanding and modeling of photosynthetic studies tree. Terrestrial light detection ranging (LiDAR) has been applied to obtain three-dimensional structural properties vegetation estimate LAD. However, there concern about efficiency available approaches. Thus, objective this study was develop an effective means LAD estimation individual magnolia trees using high-resolution terrestrial LiDAR data. normal difference...
Abstract Aim Natural wetlands are widely considered important for mitigation of climate change, but they have been impacted by land use and cover change (LULCC), often resulting in ecosystem degradation significant changes soil carbon (C) nitrogen (N) dynamics. However, the impact various LULCC types on wetland C N dynamics remains unclear. Location Global. Time period 1982–2021. Major taxa studied Wetland. Methods We present a global meta‐analysis using database 487 sites compiled from...
Accurate estimation and monitoring of rice phenology is necessary for the management yield prediction rice. The radar backscattering coefficient, one most direct accessible parameters has been proved to be capable retrieving growth parameters. This paper aims investigate possibility (i.e., transplanting, vegetative, reproductive, maturity) using coefficients or their simple combinations multi-temporal RADARSAT-2 datasets only. Four were analyzed at 30 sample plots in Meishan City, Sichuan...
The ecophysiological characteristics of native Phragmites australis and exotic Spartina alterniflora grown under waterlogging salinity were investigated to explore their adaptation potential sea level rise. seasonal course phenotypic traits, photosynthetic activity chlorophyll fluorescence parameters P. did not change remarkably shallow flooding, whereas these variables sensitive increasing salinity. Waterlogging exacerbated the negative effects on shoot growth australis, combined stresses...
Rice-crop intensity is the annual number of rice growth cycles in a field. Monitoring on large scale vital evaluating grain production and its ecological impact. Synthetic Aperture Radar (SAR) has an all-weather imaging capability. However, existing SAR-based rice-crop mapping methods mostly focus small regions due to diversity backscatter patterns, inefficiency time-series feature extraction, unavailability phenological information scale. In this study, harmonic-based method proposed...
Abstract: Paddy rice is one of the most important crops in world. Accurate estimation and monitoring paddy phenology necessary for management yield prediction. Remotely sensed time-series data are essential crop stages across large areas. Here, phenological (i.e., transplanting, tillering, heading, harvesting) were detected Jiangxi Province, China. A comparison study was conducted using ground observation from 10 agricultural meteorological stations, collected between 2006 2008. The Moderate...
The light detection and ranging (LiDAR) technology plays an important role in obtaining the three-dimensional information. A large number of point cloud data objects can be obtained through LiDAR technology. Iterative Closest Point (ICP) algorithm was widely used for registering data, which typically only scan object from one direction at a time. However, massive has brought great troubles to this registration method. k-d tree is similar general structure it store, manage search efficiently....
The spatial-temporal evolution of land use and cover (LULC) its multi-scale impact on the water environment is becoming highly significant in LULC research field. current results show that more scale quality whole basin riparian buffer unclear. A consensus has not been reached about optimal spatial problem relationship between quality. typical lake Fuxian Lake watershed was used as area taken object. High resolution remote sensing images, archival resources surveying, mapping geographic...
The wood structure is an important parameter that represents the geometrical and topological characteristics of trees. Accurate extraction component a tree great importance in visualizing Light detection ranging (LiDAR) has been applied to obtain 3-D structural properties vegetation. However, it difficult separate leaf components from point clouds data situations where leaves are mixed overlapping. This letter proposes effective method for extracting cloud individual trees based on different...
China is suffering from serious soil and water loss due to improper land use, leading flood drought disasters, industrial agricultural reduction. The commonly used monitoring methods of rely on the visual interpretation remote sensing images, which time-consuming laborious. In this study, deep learning semantic segmentation technology was applied use for conservation. Manual mark samples products collected in recent years were combined construct training learning. Deep convolution neural...
Semantic segmentation of cropland is critical for accurately extracting crop distribution from satellite remote sensing (RS) images. However, the dynamic temporal patterns caused by rotations and heterogeneous spatial characteristics pose significant challenges achieving high-precision segmentation. To tackle these issues, we propose a novel spatiotemporal feature-enhanced network (STFE) designed specifically in time-series images (RSTI). The STFE effectively integrates features introducing...
A novel three dimensional (3D) synthetic aperture radar (SAR) imaging method based on vortex electromagnetic (EM) wave is proposed in this letter. Compared with the traditional two (2D) SAR imaging, has additional resolution azimuth angle domain by using orbital angular momentum (OAM) carried EM wave. 2D wave, presented retains along-track direction. First, signal model discussed, followed 3D algorithm. For slant range and directions, methods are utilized. In order to realize Doppler cell...