A5016709118- Soil Carbon and Nitrogen Dynamics
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Marine animal studies overview
- Environmental Changes in China
- Soil and Water Nutrient Dynamics
- Remote Sensing in Agriculture
- Infrastructure Maintenance and Monitoring
- Land Use and Ecosystem Services
- Asphalt Pavement Performance Evaluation
- Network Security and Intrusion Detection
- Remote Sensing and LiDAR Applications
- Soil Moisture and Remote Sensing
- Data Management and Algorithms
- Impact of Light on Environment and Health
- Geochemistry and Geologic Mapping
- Environmental and Agricultural Sciences
- Higher Education and Teaching Methods
- Advanced Computational Techniques and Applications
- Automated Road and Building Extraction
- Advanced Image Fusion Techniques
- Climate change and permafrost
- Video Surveillance and Tracking Methods
- Environmental Quality and Pollution
- Simulation and Modeling Applications
Gansu Agricultural University
2024
Northeast Agricultural University
2018-2024
Peking University
2015-2024
Dalian Jiaotong University
2024
Jiangsu University of Science and Technology
2023-2024
First Hospital of Jilin University
2024
Guangzhou Vocational College of Science and Technology
2024
Harbin Veterinary Research Institute
2021-2024
Chinese Academy of Agricultural Sciences
2021-2024
State Key Laboratory of Remote Sensing Science
2006-2024
The Yangtze River dolphin or baiji ( Lipotes vexillifer ), an obligate freshwater odontocete known only from the middle-lower system and neighbouring Qiantang in eastern China, has long been recognized as one of world's rarest most threatened mammal species. status not investigated since late 1990s, when surviving population was estimated to be low 13 individuals. An intensive six-week multi-vessel visual acoustic survey carried out November–December 2006, covering entire historical range...
Asphalt roads are the basic component of a land transportation system, and quality asphalt will decrease during use stage because aging deterioration road surface. In end, some pavement distresses may appear on surface, such as most common potholes cracks. order to improve efficiency inspection, currently new forms remote sensing data without destructive effect widely used detect distresses, digital images, light detection ranging, radar. Multispectral imagery presenting spatial spectral...
Water clarity is a well-established first-order indicator of water quality and has been used globally by regulators in their monitoring management programs. Assessments lakes over large temporal spatial scales, however, are rare, limiting our understanding its variability the driven forces. In this study, we developed validated robust Secchi disk depth (ZSD) algorithm for across China based on two color parameters, namely Forel-Ule Index (FUI) hue angle α, retrieved from MODIS data. The ZSD...
Road pavement damage affects driving comfort markedly, threatens safety, and may even cause traffic accidents. The management department conventionally captures information mainly using manual vehicle-mounted equipment, which is not conducive to the detection of large-scale road distress. Street-view images can provide full-view urban roads where data updated regularly by navigation map service companies, making it possible rapidly detect in areas. This paper presents a new approach that...
The wetland classification from remotely sensed data is usually difficult due to the extensive seasonal vegetation dynamics and hydrological fluctuation. This study presents a random forest approach for retrieval of landcover in arid regions by fusing Pléiade-1B with multi-date Landsat-8 data. segmentation multispectral image was performed based on an object-oriented approach, geometric spectral features were extracted segmented objects. normalized difference index (NDVI) series also...
With the rapid growth in availability of data and computational technologies, multiple machine learning frameworks have been proposed for forecasting air pollution. However, feasibility these complex approaches has seldom verified developing countries, which generally suffer from heavy To forecast PM2.5 concentrations over different time intervals, we implemented three approaches: additive regression trees (MART), a deep feedforward neural network (DFNN) new hybrid model based on long...
Abstract Water colour is the result of its constituents and their interactions with solar irradiance; this forms basis for water quality monitoring using optical remote sensing data. The Forel-Ule Index (FUI) a useful comprehensive indicator to show variability change in both inland waters oceans. In recent decades, lakes around world have experienced dramatic changes under pressure from climate anthropogenic activities. However, acquiring consistent products global has been challenge. paper...
Genetic changes have occurred in the genomes of prevalent African swine fever viruses (ASFVs) field China, which may change their antigenic properties and result immune escape. There is usually poor cross-protection between heterogonous isolates, and, therefore, it important to test live attenuated ASFV vaccines against current isolates. In this study, we evaluated protective efficacy vaccine candidate HLJ/18-7GD emerging provided protection a highly virulent variant lower lethal isolate,...
The collapse of buildings caused by earthquakes can lead to a large loss life and property. Rapid assessment building damage with remote sensing image data support emergency rescues. However, current studies indicate that only limited sample set usually be obtained from images immediately following an earthquake. Consequently, the difficulty in preparing sufficient training samples constrains generalization model identification earthquake-damaged buildings. To produce deep learning network...
African swine fever (ASF) is an acute, hemorrhagic, and severe infectious disease caused by the ASF virus (ASFV). ASFV has evolved multiple strategies to escape host antiviral immune responses. Here, we reported that pB318L, a trans-geranylgeranyl-diphosphate synthase, reduced expression of type I interferon (IFN-I) IFN-stimulated genes (ISGs). Mechanically, pB318L not only interacted with STING reduce translocation from endoplasmic reticulum Golgi apparatus but also IFN receptors...
Abstract Road damage is a great threat to the service life and safety of roads, early detection pavement can facilitate maintenance repair. Street view images serve as new solution for monitoring due their wide coverage regular updates. In this study, road dataset, View Image Dataset Automated Damage Detection (SVRDD), was developed using 8000 street acquired from Baidu Maps . Based on these images, over 20,000 instances were visually recognized annotated. These distributed in five...
Purpose – User-generated content (UGC), i.e. the feedback from consumers in electronic market, including structured and unstructured types, has become increasingly important improving online businesses. However, ambiguity heterogeneity, even conflict between two types of UGC, require a better understanding perspective human cognitive psychology. By using on hotel services, purpose this paper is to explore effects satisfaction level, opinion dispersion cultural context background...
Remote sensing image segmentation with samples imbalance is always one of the most important issues. Typically, a high-resolution remote has characteristics high spatial resolution and low spectral resolution, complex large-scale land covers, small class differences for some vague foreground, imbalanced distribution samples. However, traditional machine learning algorithms have limitations in deep feature extraction dealing sample issue. In paper, we proposed an improved full-convolution...
Conventional methods for monitoring pavement healthy states have the disadvantages of low efficiency and being time-consuming destructive. Current studies indicate that traditional machine learning algorithms showed poor performance generalization capacity in identifying asphalt aging damage conditions. Further, deep network models less been applied to detection types objects from UAV imagery. In this study, we first used a low-altitude platform acquire multispectral images road with...