A5036732883- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- SARS-CoV-2 and COVID-19 Research
- Urban Heat Island Mitigation
- Advanced Image Fusion Techniques
- Environmental and Agricultural Sciences
- Environmental Changes in China
- Soil Geostatistics and Mapping
- Spectroscopy and Chemometric Analyses
- Vaccine Coverage and Hesitancy
- 3D Surveying and Cultural Heritage
- 3D Shape Modeling and Analysis
- Industrial Vision Systems and Defect Detection
- Animal Behavior and Welfare Studies
- Forest ecology and management
- Geochemistry and Geologic Mapping
- Soil erosion and sediment transport
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Flood Risk Assessment and Management
China Agricultural University
2015-2024
Ministry of Agriculture and Rural Affairs
2013-2024
Liuzhou General Hospital
2024
Shandong Agricultural University
2022-2024
State Forestry and Grassland Administration
2024
Yunnan Yingmao Biotechnology (China)
2024
Xiangnan University
2023
South China Botanical Garden
2022-2023
Chinese Academy of Sciences
2005-2023
University of Chinese Academy of Sciences
2022-2023
Human Footprint, the pressure imposed on eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns biodiversity conservation. Due to lack of spatiotemporally consistent datasets Footprint over a long temporal span, many relevant studies this topic have been limited. Here, we mapped annual dynamics global from 2000 2018 using eight variables that reflect different aspects human pressures. The accuracy assessment revealed good agreement between our...
Data assimilation has been demonstrated as the potential crop yield estimation approach. Accurate quantification of model and observation errors is key to determining success a data system. However, growth error not fully taken into account in most previous studies. The objective this study better quantify uncertainty Firstly, we calibrated inferred its posterior based on Global LAnd Surface Satellite (GLASS) 250-m LAI product, regional statistical data, station observations, field...
Leaf area index (LAI) and evapotranspiration (ET) are two crucial biophysical variables related to crop growth grain yield. This study presents a model-data assimilation framework assimilate the 1-km moderate resolution imaging spectroradiometer (MODIS) LAI ET products (MCD15A3 MOD16A2, respectively) into soil water atmosphere plant (SWAP) model assess potential for estimating winter wheat yield at field regional scales. Since MODIS generally underestimate or values in fragmented...
Textural and local spatial statistical information is important in the classification of urban areas using very high resolution imagery. This paper describes utility textural statistics for improvement object‐oriented QuickBird All textural/spatial bands were used as additional supervised classification. The texture analysis based on two levels: segmented image objects moving windows across whole image. In over objects, angular second moment feature at a 45° angle showed an improved...
Phenotyping provides important support for corn breeding. Unfortunately, the rapid detection of phenotypes has been major limiting factor in estimating and predicting outcomes breeding programs. This study was focused on potential phenotyping to using unmanned aerial vehicle (UAV) images, aiming at mining deepening UAV techniques comparing screening new varieties. Two geometric traits (plant height, canopy leaf area index (LAI)) one lodging resistance trait (lodging area) were estimated this...
Traditional Light Detection and Rangings (LiDARs) can quickly collect high-accuracy of three-dimensional (3D) point cloud data at a designated wavelength (i.e., cannot obtain hyperspectral data), while the passive imager rich spectral ground objects, but are lack 3D spatial data. This paper presents one innovative study on design airborne-oriented supercontinuum laser (SCLaHS) LiDAR with 50 bands covering 400 nm to 900 resolution 10 sampling distance (GSD) 0.5 m. The major innovations...
Mapping the corn dynamics at a large scale and multiple years is essential for global food security. Traditional mapping approaches by collecting training samples from field surveys are labor-intensive, challenging large-scale of over long term. This study developed an efficient approach to map in main districts United States (US) using adaptive strategies high-quality samples. First, this proposed automatic collect stable representative crop data layers (CDL) product. Then, improved...
Abstract As a key variable to characterize the process of crop growth, aboveground biomass (AGB) plays an important role in management and production. Process-based models remote sensing are two scientific methods for AGB estimation. In this study, we combined observations from agricultural meteorological stations county-level yield statistics calibrate process-based growth model winter wheat. After that, assimilated reprocessed temporal-spatial filtered MODIS Leaf Area Index product into...
Corn is the dominant crop planted in Northeast China, and its accurate timely mapping important for food security agricultural management China. However, absence of enough labels challenging corn a regional area using machine learning methods or deep methods. In this study, an efficient way automatic labelling areas by combining Global Ecosystem Dynamics Investigation (GEDI) data Sentinel-2 images proposed. We explore height vertical structure differences between other crops derived from...
Agricultural drought threatens food security. Numerous remote-sensing indices have been developed, but their different principles, assumptions and physical quantities make it necessary to compare suitability for monitoring over large areas. Here, we analyzed the performance of three typical remote sensing-based agricultural in two major production regions Shaanxi Henan provinces, northern China (predominantly rain-fed irrigated agriculture, respectively): vegetation health index (VHI),...
In the Loess Plateau (LP) of China, vegetation degradation and soil erosion problems have been shown to be curbed after implementation Grain for Green program. this study, LP is divided into northwestern semi-arid area southeastern semi-humid using 400 mm isohyet. The spatial–temporal evolution NDVI during 2000–2015 are analyzed, driving forces (including factors climate, environment, human activities) quantitatively identified geographical detector model (GDM). results showed that annual...
Light pollution, a phenomenon in which artificial nighttime light (NTL) changes the form of brightness and darkness natural areas such as protected (PAs), has become global concern due to its threat biodiversity. With ongoing urbanization climate change, pollution status PAs deserves attention for mitigation adaptation. In this study, we developed framework evaluate PAs, using NTL time series data. First, classified (30,624) into three categories: non-polluted (5974), continuously polluted...
Respiratory syncytial virus (RSV) is a leading cause of pediatric death, with >99% mortality occurring in low- and lower middle-income countries. At least half RSV-related deaths are estimated to occur the community, but clinical characteristics this group children remain poorly characterized.The RSV Global Online Mortality Database (RSV GOLD), global registry under-5 who have died illness, describes dying through data sharing. GOLD acts as collaborative platform for deaths, including...
The tassel development status and its branch number in maize flowering stage are the key phenotypic traits to determine growth process, pollen quantity of different varieties, detasseling arrangement for seed production fields. Rapid accurate detection tassels is great significance breeding production. However, due complex planting environment field, such as unsynchronized vary size shape caused by remains challenging problem, existing methods also cannot distinguish early tassels. In this...