A5101683709- Hydrology and Watershed Management Studies
- Urban Transport and Accessibility
- Remote Sensing and Land Use
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Soil erosion and sediment transport
- Flood Risk Assessment and Management
- Human Mobility and Location-Based Analysis
- Data Management and Algorithms
- Transportation Planning and Optimization
- Service-Oriented Architecture and Web Services
- Automated Road and Building Extraction
- Soil Moisture and Remote Sensing
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Geographic Information Systems Studies
- Remote-Sensing Image Classification
- Semantic Web and Ontologies
- Traffic Prediction and Management Techniques
- Remote Sensing and LiDAR Applications
- Energy Efficient Wireless Sensor Networks
- Web Applications and Data Management
- Landslides and related hazards
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
Institute of Geographic Sciences and Natural Resources Research
2018-2025
University of Chinese Academy of Sciences
2014-2025
South China University of Technology
2023-2024
Chinese Academy of Sciences
2012-2024
Aerospace Information Research Institute
2021
Sino-Danish Centre for Education and Research
2018-2021
Technische Universität Ilmenau
2021
Academy of Opto-Electronics
2008-2017
Indiana University
2013
Kyoto University
2004-2012
This article presents a sufficient comparison of two types advanced non-parametric classifiers implemented in remote sensing for land cover classification. A SPOT-5 HRG image Yanqing County, Beijing, China, was used, which agriculture and forest dominate use. Artificial neural networks (ANNs), including the adaptive backpropagation (ABP) algorithm, Levenberg–Marquardt (LM) Quasi-Newton (QN) algorithm radial basis function (RBF) were carefully tested. The LM–ANN RBF–ANN, outperform other two,...
Public vehicles and personal navigation assistants have become increasingly equipped with single-frequency global positioning system (GPS) receivers or loggers. These commonly used terminals offer an inexpensive way for acquiring large volumes of GPS traces, which contain information pertaining to road position traffic rules. Using this new type spatial data resource, we propose a novel approach generating high-quality routable maps. In approach, simplified network graph model uses circular...
Abstract When making decisions, humans can observe many kinds of information about others' activities, but their effects on performance are not well understood. We investigated social learning strategies using a simple problem‐solving task in which participants search complex space, and each view imitate solutions. Results showed that combined multiple sources to guide learning, including payoffs peers' solutions, popularity solution elements among peers, similarity solutions own, relative...
Urbanization, driven by rapid economic growth, has resulted in dramatic land use/cover change (LUCC), posing substantial risks to urban ecological security. While constructing networks is a productive strategy for achieving balance between protection and urbanization, the limited research conducted on impacts of LUCC spatial patterns during urbanization poses hindrance scientific construction networks. Therefore, this study focuses Jinan City, an important city situated downstream region...
Accurately estimating building heights is crucial for various applications, including urban planning, climate studies, population estimation, and environmental assessment. However, this remains a challenging task, particularly large areas. Satellite-based Light Detection Ranging (LiDAR) has shown promise, but it often faces difficulties in distinguishing photons from other ground objects. To address challenge, we propose novel method that incorporates footprints, relative positions of...
Water scarcity is a significant challenge in China, and the South-to-North Diversion Project (SNWDP) aims to address water deficit northern region. This study analyses Landsat 5/7/8 remote sensing imagery from 2001 2020 on Google Earth Engine (GEE) cloud platform assess impact of SNWDP surface bodies water-receiving areas. Moreover, by integrating MODIS evapotranspiration data ERA5 meteorological reanalysis data, this comprehensively assesses SNWDP’s contribution varied body changes. Using...
Coal fires are common and serious phenomena in most coal-producing countries the world. not only burn valuable non-renewable coal reserves but also severely affect local global environment. The Rujigou coalfield Shizuishan City, Ningxia, NW China, is well known for being a storehouse of anthracite coal. This having more than other coalfields China. In this study, an attempt was made to study dynamics coalfield, from 2001 2007, using multi-temporal nighttime Landsat data. short wave infrared...
Coal fires are a common and serious problem in most coal-bearing countries. Thus, it is very important to monitor changes coal fires. Remote sensing provides useful technique for investigating fields at large scale detecting In this study, the spreading direction of fire Wuda Field (WCF), northwest China, was analyzed using multi-temporal Landsat Thematic Mapper (TM) Enhanced (ETM+) thermal infrared (TIR) data. Using an automated method based on land surface temperatures (LST) that were...
Objective: Studies show general agreement that all-trans retinoic acid (atRA) has been linked to the regulation of G protein-coupled receptor (GPCRs) signaling. To further validate effects atRA on cardiovascular GPCRs, present study was designed assess whether will modulate orphan APJ, a homologue angiotensin II type 1 (AT1) receptor.
Estimating and mapping population distributions dynamically at a city-wide spatial scale, including those covering suburban areas, has profound, practical, applications such as urban transportation planning, public safety warning, disaster impact assessment epidemiological modelling, which benefits governments, merchants citizens. More recently, call detail record (CDR) of mobile phone data been used to estimate human distributions. However, there is key challenge that the accuracy method...
Abstract Many researchers have examined the impact of detailed soil spatial information on hydrological modelling due to fact that such serves as important input modelling, yet is difficult and expensive obtain. Most research has focused effects at single scales; however, in context aggregation across different scales are largely missing. This paper examines by comparing simulated runoffs from watershed models based two levels information: 10‐m‐resolution data derived Soil‐Land Inference...