A5100347498- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Ocean Waves and Remote Sensing
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Wood and Agarwood Research
- Advanced Control Systems Design
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Remote Sensing and Land Use
- Forest ecology and management
- Oceanographic and Atmospheric Processes
- Urban Heat Island Mitigation
- Geoscience and Mining Technology
- Engineering Technology and Methodologies
- Water Quality Monitoring Technologies
- Underwater Acoustics Research
- 3D Surveying and Cultural Heritage
- Tropical and Extratropical Cyclones Research
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Geomechanics and Mining Engineering
- Rangeland and Wildlife Management
- Mental Health via Writing
- Powdery Mildew Fungal Diseases
Ministry of Water Resources of the People's Republic of China
2025
Ministry of Natural Resources
2022-2025
Second Institute of Oceanography
2016-2024
Hainan University
2008-2024
Southwest Forestry University
2020-2023
Zhejiang Shuren University
2022
China International Science and Technology Cooperation
2022
Institute of Forest Resource Information Techniques
2020
Chinese Academy of Forestry
2020
State Forestry and Grassland Administration
2020
Rubber tree powdery mildew (PM) is one of the most devastating leaf diseases in rubber forest plantations. To prevent and control PM, timely accurate detection essential. In recent years, unmanned Aerial Vehicle (UAV) remote sensing technology has been widely used field agriculture forestry, but it not to detect diseases. this study, we propose a method severity PM based on UAV low-altitude multispectral imaging technology. The uses UAVs collect images canopies that are naturally infected,...
Rubber tree is one of the essential tropical economic crops, and rubber powdery mildew (PM) most damaging disease to growth trees. Accurate timely detection PM key preventing large-scale spread PM. Recently, unmanned aerial vehicle (UAV) remote sensing technology has been widely used in field agroforestry. The objective this study was establish a method for identifying trees infected or uninfected by using UAV-based multispectral images. We resampled original image with 3.4 cm spatial...
Banana phenotypic parameters are one of the important elements in study banana growth and development. Through measurement parameters, we can obtain information about status, nutritional status quality indexes plants, pseudo-stem significant indicators parameters. This research proposes a two-stage approach combining morphological features deep learning point cloud segmentation to extract Specifically, first step, seed points extracted using DBSCAN clustering algorithm, individual plant is...
A Ku-band low incidence backscatter model (KuLMOD) for retrieving wind speeds from Tropical Rainfall Mapping Mission (TRMM) precipitation radar (PR) data is proposed. The set consisted of TRMM PR observations and collocated National Data Buoy Center (NDBC) Ocean Global Atmosphere program buoy-measured wave data. properties were analyzed with regard to their dependence on spatial resolution, speed, relative direction, significant height. KuLMOD was developed using angles (0.5 6.5 deg) (1.5...
Knowledge of forest structure is vital for sustainable management decisions. Terrestrial laser scanning cannot describe the canopy trees in a large area, and it unclear whether unmanned aerial vehicle-light detection ranging (UAV-LiDAR) data have ability to capture structural parameters tropical forests. In this study, we estimated five structures (stand density (N), basic area (G), above-ground biomass (AGB), Lorey’s mean height (HL), under-crown (hT)) with four modeling algorithms (linear...
Forest aboveground biomass (AGB) is an important research topic in the field of forestry, with implications for carbon cycles and sinks. Malania oleifera Chun et S. K. Lee (M. oleifera) a valuable plant species that listed on National Second-Class Protected Plant checklist has received global attention its conservation resource utilization. To obtain accurate AGB individual M. trees fast, low-finance-cost low-labor-cost way, this study first attempted to estimate tree by combining...
The rubber tree (Hevea brasiliensis) is an important species for the production of natural latex, which essential raw material varieties industrial and non-industrial products. Rapid accurate identification number trees not only plays role in predicting biomass yield but also beneficial to estimating carbon sinks promoting sustainable development plantations. However, existing recognition methods based on canopy characteristic segmentation are suitable detecting individual due their high...
Biodiversity conservation, plant growth and spatial distribution of species are the central issues in contemporary community ecology. Ephemeral stream may influence soil properties, which turn determine biodiversity function an ecosystem alluvial fan arid desert region. is one most common natural disturbances, yet effects ephemeral on communities terms diversity remain poorly studied. In this study, information distribution, beds ('washes'), characteristics growth, i.e. height, crown area,...
With the acceleration of urbanization, climate problems affecting human health and safe operation cities have intensified, such as heat island effect, haze, acid rain. Using high-resolution remote sensing mapping image data to design scientific efficient algorithms excavate plan urban ventilation corridors improve environment is an effective way solve these problems. In this paper, we use unmanned aerial vehicle (UAV) tilt photography technology obtain high-precision digital elevation model...
The investigation of geological disaster in our article locates southern Australia, which is characterized by wide range, high relief, inaccessibility and other unfavorable factors. Multi-spectral ETM+ SPOT 5 pan images were selected as the remote sensing data source, Brovey transform (BT), intensity-hue-saturation (IHS), principal component analysis (PCA), high-pass filtering (HPF) modified Gram-Schmidt (MGS) methods used for image fusion. A comparison has been conducted between resultant...
Surface Wave Investigation and Monitoring (SWIM) will be launched on board the Chinese French Ocean SATellite (CFOSAT) in 2018. This paper proposes a joint method to simultaneously retrieve wave spectra at different scales from spaceborne Synthetic Aperture Radar (SAR) CFOSAT SWIM spectrometer data. The combines output two sensors overcome retrieval limitations that occur some sea states. sensitivity coefficient is estimated using an effective significant height (SWH), which average of...