A5088649968- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Environmental Changes in China
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Reproductive System and Pregnancy
- Regional Economic and Spatial Analysis
- COVID-19 epidemiological studies
- Environmental Impact and Sustainability
- Urban Design and Spatial Analysis
- Urban Heat Island Mitigation
- Remote-Sensing Image Classification
- Water Resources and Sustainability
- Advanced Computational Techniques and Applications
- Remote Sensing and LiDAR Applications
- Urban Green Space and Health
- Syphilis Diagnosis and Treatment
- 3D Surveying and Cultural Heritage
- 3D Modeling in Geospatial Applications
- Environmental Quality and Pollution
- Remote Sensing in Agriculture
- Sustainability and Ecological Systems Analysis
- Impact of Light on Environment and Health
- Data-Driven Disease Surveillance
- Immune responses and vaccinations
China University of Geosciences (Beijing)
2016-2025
Ministry of Natural Resources
2014-2025
Ministry of Science and Technology of the People's Republic of China
2023-2025
Ministry of Water Resources of the People's Republic of China
2024-2025
Beijing Institute of Big Data Research
2019-2024
Zhongshan Hospital of Xiamen University
2024
Xinjiang University
2024
Xiamen University
2023-2024
Beijing Institute of Geology for Mineral Resources
2019
Beijing Polytechnic
2019
Increases in atmospheric carbon dioxide (CO2) concentrations is the main driver of global warming due to fossil fuel combustion. Satellite observations provide continuous CO2 retrieval products, that reveal nonuniform distributions concentrations. However, climate simulation studies are almost based on a globally uniform mean or latitudinally resolved assumption. In this study, we reconstructed historical monthly with 1° resolution from 1850 2013 which and accounting longitudinal features...
Carbon emission inequality has become a critical factor constraining the coordinated development of socio-economic systems and natural environment. This exacerbates disparity in carbon emissions across regions, hindering efforts to achieve sustainable environmental justice. Previous research primarily focused on structure footprints their influencing factors, but there been limited quantitative inequality, particularly from multi-scale perspective. study constructs 250 m-high-resolution...
The potential of Markov-cellular automata model has been recognized and used widely in land use changes simulation forecast, but previous researchers focused on analysis future result change. Few thoughts have given to the modal accuracy uncertainty assessments largely conducted by simply calculating overall value selected metric. To increase applied assessment Markov- cellular model, we explored through calculation Kappa index for location quantity. case study area was Changping District,...
Abstract Corona Virus Disease 2019 (COVID-19) has spread rapidly to countries all around the world from end of 2019, which caused a great impact on global health and had huge many countries. Since there is still no effective treatment, it essential making predictions for relevant departments make responses arrangements in advance. Under limited data, prediction error LSTM model will increase over time, its prone big bias medium- long-term prediction. To overcome this problem, our study...
The urban development of China is changing from incremental expansion to stock renewal mode. study functional areas has become one the important fundamental works in current and high-quality development. In recent years, big spatiotemporal data been well applied function field. However, spatial-temporal evolution characteristics forecasting optimization for mixed-use not examined well. Thus, this study, we proposed a new approach that applies revised information entropy method analyze...
Artificial neural network–cellular automata model has been applied successfully in land use change simulation. However, it rarely integrated with landscape pattern indices (LPIs), the embodiment of spatial heterogeneity use. This paper proposed to integrate LPIs as parameters artificial model. Subsequent a description principles and implementation model, case study was presented Changping district. In study, two LPIs, similarity index patch density, along 10 other variables, were selected...
Unmanned aerial vehicle (UAV) low-altitude remote sensing technology has recently been adopted in China. However, mapping accuracy and production processes of true digital orthophoto maps (TDOMs) generated by UAV images require further improvement. In this study, ground control points were distributed collected using a multi-rotor professional camera, at flight height 160 m above the designed sample distance (GSD) 0.016 m. A structure from motion (SfM), revised surface model (DSM) multi-view...
Land use and land cover (LULC) in the Beijing–Tianjin–Hebei region has changed significantly since 1990. To comprehensively understand its impact on meteorology, this paper uses an LULC transfer matrix to discuss changes 10 years before millennium (BM) after (AM). The Weather Research Forecasting (WRF) model is used simulate air temperature, precipitation, wind speed January July using 1990, 2000, 2010 data. temperature increase AM period (0.118 °C) was greater than that BM (0.042 increased...
The Catering Service Industry (CSI) experienced profound impacts due to the COVID-19 pandemic. However, long-term and multi-timepoint analysis using big data remained limited, influencing governmental decision-making. We applied Kernel Density Estimation, Shannon Diversity Index, Geographic detector explore spatial heterogeneity determinants of CSI in Beijing during pandemic, with monthly granularity. temporal-spatial dynamics presented a "W"-shaped trend from 2018 2023, pivotal shifts...
Feature selection (FS) is vital in hyperspectral image (HSI) classification, it an NP-hard problem, and Swarm Intelligence Evolutionary Algorithms (SIEAs) have been proved effective solving it. However, the high dimensionality of HSIs still leads to inefficient operation SIEAs. In addition, many SIEAs exist, but few studies conducted a comparative analysis them for HSI FS. Thus, our study has two goals: (1) propose new filter–wrapper (F–W) framework that can improve SIEAs’ performance; (2)...