A5100362080- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Remote Sensing and LiDAR Applications
- Urban Transport and Accessibility
- Environmental Changes in China
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Automated Road and Building Extraction
- Data Management and Algorithms
- Environmental Quality and Pollution
- Wildlife-Road Interactions and Conservation
- GNSS positioning and interference
- Transportation and Mobility Innovations
- Geophysics and Gravity Measurements
- Mineral Processing and Grinding
- Soil and Land Suitability Analysis
- Advanced Neural Network Applications
- Traffic and Road Safety
- Leaf Properties and Growth Measurement
- Impact of Light on Environment and Health
Anhui Science and Technology University
2024-2025
Anhui University of Science and Technology
2024-2025
China University of Mining and Technology
2016-2025
Chinese Academy of Sciences
1992-2025
Hangzhou Center for Disease Control and Prevention
2025
Institute of Geographic Sciences and Natural Resources Research
2020-2025
Nanjing Tech University
2024
Beijing Normal University
2022-2024
China University of Geosciences
2024
Tsinghua University
2022-2024
Sentinel-1A and Landsat 8 images have been combined in this study to map rice fields urban Shanghai, southeast China, during the 2015 growing season. Rice grown paddies area is characterized by wide inter-field variability addition being fragmented other landuses. Improving classification accuracy requires use of multi-source multi-temporal high resolution data for operational purposes. In regard, we first exploited temporal backscatter background land-cover types at vertical transmitted...
In recent years, convolutional neural networks (CNNs) have shown great success in the scene classification of computer vision images. Although these CNNs can achieve excellent accuracy, discriminative ability feature representations extracted from is still limited distinguishing more complex remote sensing Therefore, we propose a unified fusion framework based on attention mechanism this paper, which called Deep Discriminative Representation Learning with Attention Map (DDRL-AM). Firstly, by...
Ecological restoration in open-pit coal mines faces significant challenges, particularly regarding vegetation dumping sites, which often experience unstable status after restoration. Hence, monitoring the process and evaluating effect sites are crucial. In this study, was rebuilt based on Fractional Vegetation Cover (FVC), evaluated with reference to FVC before destruction. Considering topographic factors relative contributions of climate change human activities quantified. The future...
The Soil Plant Analysis Development (SPAD) is a vital index for evaluating crop nutritional status and serves as an essential parameter characterizing the reproductive growth of winter wheat. Non-destructive accurate monitorin3g wheat SPAD plays crucial role in guiding precise management nutrition. In recent years, spectral saturation problem occurring later stage has become major factor restricting accuracy estimation. Therefore, purpose this study to use features selection strategy...
Abstract The vegetation net primary productivity (NPP) is a key indicator for evaluating carbon sequestration. Exploring its spatiotemporal changes and impact factors essential coal mining ecological restoration in open‐pit areas. This study utilized the Carnegie‐Ames‐Stanford‐Approach (CASA) model to calculate monthly NPP Xiwan mine area, typical northwestern China. trend, stability, persistence analysis were conducted, along with development of grading method examine variation across...
The delays of radio signals transmitted by global navigation satellite system (GNSS) satellites and induced neutral atmosphere, which are usually represented zenith tropospheric delay (ZTD), required as critical information both for GNSS positioning meteorology. Establishing a stable reliable ZTD model is one the interests in research. In this study, we proposed regional that makes full use calculated from data corresponding estimated pressure temperature 3 (GPT3) model, adopting artificial...
As the largest fisheries producer nation (including capture and aquaculture in both inland marine waters), information about China (excluding Hong Kong, Macau, Taiwan) is essential to evaluate status of aquatic natural resources, challenge food security, guide policy implementation for future sustainable development. In this study, official Chinese statistical data on from earliest available year 1949 latest 2013 were first summarized. current evaluated by maximum net primary productivity,...
In grassland open-pit mining areas, net primary productivity (NPP) is mainly affected by climate conditions and human activities. The identification assessment of the influence activities on NPP important for production implementation ecological restoration. this study, we explored in Shengli area Inner Mongolia, China using Carnegie–Ames–Stanford Approach (CASA) model Chikugo model, which a calibration method was applied. An analysis four representative years showed that proportion induced...
Rail-transit hub classification in TOD refers to the categorization of transit stations based on their level connectivity and ridership potential for development around them as part a Transit-Oriented Development (TOD) strategy. TOD, an essential concept developing smart cities public transportation accessibility, has attracted focus many policymakers. To this end, research projects have been dedicated classifying rail-transit stations, although necessity integrated models hubs could...
Automatic extraction of tailing ponds from Very High-Resolution (VHR) remotely sensed images is vital for mineral resource management. This study proposes a Pseudo-Siamese Visual Geometry Group Encoder-Decoder network (PSVED) to achieve high accuracy VHR images. First, handcrafted feature (HCF) are calculated based on the index calculation algorithm, highlighting ponds' signals. Second, considering information gap between and HCF images, (Pseudo-Siamese VGG) utilized extract independent...
The clarification of the impact human activities on vegetation in mining areas contributes to harmonization and environmental protection. This study utilized Geographically Temporally Weighted Regression (GTWR) establish a quantitative relationship among Normalized Difference Vegetation Index (NDVI), temperature, precipitation, Digital Elevation Model (DEM). Furthermore, residual analysis was performed remove natural factors separately assess restoration. experiment carried out Shangwan...
Abstract Surface coal development activities include mining and ecological restoration, which significantly impact regional carbon sinks. Quantifying the dynamic impacts on sequestration in vegetation (VCS) during has been challenging. Here, we provided a novel approach to assess dynamics of VCS affected by large-scale surface subsequent restoration. This effectively overcomes limitations imposed lack finer scale long-time series data through transformation. We found that directly decreased...