A5033116013- Land Use and Ecosystem Services
- Traffic control and management
- Transportation Planning and Optimization
- Remote Sensing in Agriculture
- Traffic Prediction and Management Techniques
- Conservation, Biodiversity, and Resource Management
- Remote Sensing and Land Use
- Environmental and Cultural Studies in Latin America and Beyond
- Ecology and Conservation Studies
- Remote Sensing and LiDAR Applications
- Rangeland Management and Livestock Ecology
- Economic and Environmental Valuation
- Forest, Soil, and Plant Ecology in China
- Video Surveillance and Tracking Methods
- Hydrology and Watershed Management Studies
- Karst Systems and Hydrogeology
- Plant and Fungal Species Descriptions
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Robotics and Sensor-Based Localization
- Soil Geostatistics and Mapping
- Indoor and Outdoor Localization Technologies
- Cultural Heritage Management and Preservation
- Vehicle emissions and performance
- Hydrology and Sediment Transport Processes
Chinese Academy of Sciences
2021-2025
University of Chinese Academy of Sciences
2021-2024
Wuhan Institute of Physics and Mathematics
2023-2024
Google (United States)
2017
University of California, Riverside
2011-2013
Topography and soil factors are known to play crucial roles in the species composition of plant communities subtropical evergreen-deciduous broadleaved mixed forests. In this study, we used a systematic quantitative approach classify community types forests Hubei Province (central China), then quantified relative contribution drivers responsible for variation diversity. We classified study area into 12 types. Of these, diversity indices three were significantly higher than those others. each...
 Karst landscapes, characterized by their distinctive geomorphology and biodiversity, also host rich cultural heritage represented traditional villages. These villages reflect the complex interplay between human activity environment, shaped over centuries geological, ecological, factors. However, karst regions face critical challenges such as ecological degradation, rocky desertification, homogenization, which threaten both biological diversity.This study conducts a multidimensional...
Accurate extraction of river network from the Digital Elevation Model (DEM) is a significant content in application distributed hydrological model. However, study based on DEM has some limitations, such as location offset, inaccurate parallel channel and short circuit meandering channels. In this study, we proposed new enhancement method for NASADEM V001 Danjiangkou Reservoir area. We used Surface Water Occurrence (SWO) Sentinel-2 data to describe vertical limit differences between...
Traffic signs along the roadways are used to convey important information about road and environment drivers, pedestrians, possibly many Intelligent Transportation System (ITS) applications. A map of traffic provides a priori ITS applications, allowing be in wide variety detection, positioning, vehicle control In this research, probe with onboard sensors is utilized survey test site. sensor platform equipped GPS/IMU, 3D LIDAR, vision employed sign state estimation, identification framework...
Plant diversity is an important parameter in maintaining forest ecosystem services, functions and stability. Timely accurate monitoring evaluation of large-area wall-to-wall maps on plant its spatial heterogeneity are crucial for the conservation management resources. However, traditional botanical field surveys designed to estimate usually limited their spatiotemporal resolutions. Using Sentinel-1 (S-1) Sentinel-2 (S-2) data at high scales, combined with referenced surveys, may be best...
With increased traffic congestion and concern with its impacts on fuel consumption emissions, it is important to have reliable methods of estimating these for a wide variety scenarios. Estimating energy/emissions uninterrupted flow (e.g., highways) fairly well established; however, roadways interrupted arterial corridors signals), the estimation problem much more difficult. In this paper, we propose modal-based trajectory reconstruction method that takes advantage new wireless sensors. This...
Arterial travel time information is crucial to advanced traffic management systems and traveler systems. An effective way represent this the estimation of distribution. In paper, we develop a modified Gaussian mixture model in order estimate link distributions along arterial with signalized intersections. The proposed applicable data from either fixed-location sensors or mobile sensors. performance validated using real-world (more than 1,400 vehicles) collected by wireless magnetic digital...
Vehicle travel time on arterial roads is a crucial parameter for traffic management and traveler information systems. A distribution an effective way to represent the essential properties of this parameter. This paper proposes modified Gaussian Mixture Model representing distributions with signalized intersections. The proposed model applicable data from both fixed mobile sensors. performance was evaluated using real measurements sensors in field virtual sensor generated those real-world...
Shrubs are typical vegetation on the Qinghai – Tibet Plateau, and their spatial distribution pattern is crucial for understanding regional ecological environment. Existing global land cover products cannot represent shrubs well in this area, relationship between corresponding environmental factors still unclear. In study, using Dogxung Zangbo River Basin as an example, Sentinel-2 images were applied to estimate shrub fraction image, random forest regression model trained with samples...
The identification of conservation priority for ecosystem services (ESs) holds paramount importance in harmonizing environmental sustainability with human well-being and bolstering sustainable resource management. This is particularly critical regions endowed abundant ESs, yet facing the dual challenges global climate change intensified activities. However, utilization a singular evaluation indicator use ambiguous methods delineating priorities have resulted deviations decision-making. To...
Urban green spaces play indispensable roles in various aspects, including the urban soil environment, thermal and human environment. Accurately capturing characteristics such as spatial distribution of is essential for effective planning, construction, assessment space, it represents a focal point ecological research. Leveraging its remarkable self-learning capability, deep learning has emerged prominent research direction extracting space features. However, given diverse range methods...