A5008683159- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Influenza Virus Research Studies
- Viral Infections and Vectors
- Animal Disease Management and Epidemiology
- Remote Sensing and Land Use
- Air Quality and Health Impacts
- Remote-Sensing Image Classification
- COVID-19 epidemiological studies
- Impact of Light on Environment and Health
- Zoonotic diseases and public health
- Climate Change and Health Impacts
- Urban Green Space and Health
- Effects and risks of endocrine disrupting chemicals
- Urban Heat Island Mitigation
- Fire effects on ecosystems
- Atmospheric chemistry and aerosols
- Advanced Image Fusion Techniques
- Air Quality Monitoring and Forecasting
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Environmental Changes in China
- Respiratory viral infections research
- Species Distribution and Climate Change
- Yersinia bacterium, plague, ectoparasites research
Tsinghua University
2016-2025
Beijing Institute of Big Data Research
2023-2025
Zhejiang University
2001-2025
University of California, Davis
2024-2025
VA Northern California Health Care System
2025
Wenzhou Hospital of Traditional Chinese Medicine
2024-2025
Zhejiang Chinese Medical University
2025
Nanjing Drum Tower Hospital
2025
Lanzhou Jiaotong University
2024
Second Military Medical University
2023-2024
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Plus (ETM+) data. classified over 6600 scenes of TM data after 2006, 2300 ETM+ before all selected from green season. These images cover most world's land surface except Antarctica Greenland. Most these came United States Geological Survey in level L1T (orthorectified). Four classifiers that were freely available employed, including conventional maximum likelihood classifier...
Abstract Urban boundaries, an essential property of cities, are widely used in many urban studies. However, extracting boundaries from satellite images is still a great challenge, especially at global scale and fine resolution. In this study, we developed automatic delineation framework to generate multi-temporal dataset (GUB) using 30 m artificial impervious area (GAIA) data. First, delineated initial boundary by filling inner non-urban areas each city. A kernel density estimation approach...
Abstract. With frequent air pollution episodes in China, growing research emphasis has been put on quantifying meteorological influences PM2.5 concentrations. However, these studies mainly focus isolated cities, whilst concentrations at the national scale have not yet examined comprehensively. This employs CCM (convergent cross-mapping) method to understand influence of individual factors local 188 monitoring cities across China. Results indicate that notable seasonal and regional...
Significance Highly pathogenic avian influenza virus H5N1 first emerged in Asia and subsequently unfolded into the panzootic, causing major economic losses poultry sector. However, we still do not understand regional long-distance transmission seasonal patterns of H5N1. In this study, addressed issue by combining outbreak records, whole-genome sequences viral samples, satellite tracking data for four species migratory birds Asia. We show that timing outbreaks migration are closely associated...
Abstract The United Nations specified the need for “providing universal access to greenspace urban residents” in 11th Sustainable Development Goal. Yet, how far we are from this goal remains unclear. Here, develop a methodology incorporating fine-resolution population and mappings use results 2020 elucidate global differences human exposure greenspace. We identify contrasting difference of between Global South North cities. cities experience only one third level Greenspace inequality (Gini:...
Longer time high-resolution, high-frequency, consistent, and more detailed land cover data are urgently needed in order to achieve sustainable development goals on food security, high-quality habitat construction, biodiversity conservation planetary health, for the understanding, simulation management of Earth system. However, due technological constraints, it is difficult provide simultaneously high spatial resolution, temporal frequency, quality observation data. Existing mapping solutions...
Greenspace plays a crucial role in urban ecosystems and has been recognized as key factor promoting sustainable healthy city development. Recent studies have revealed growing concern about greenspace exposure inequality; however, the extent to which urbanization affects human associated inequalities over time remains unclear. Here, we incorporate Landsat-based 30-meter time-series mapping population-weighted framework quantify changes equality (rather than equity) for 1028 global cities from...
Abstract Background The triglyceride glucose-body mass index (TyG-BMI index) has been considered a reliable surrogate measure of insulin resistance; however, its ability to predict the incidence cardiovascular disease in individuals with coronary artery (CAD) remains uncertain. aim this study was demonstrate correlation between TyG-BMI and incidence. Methods A total 2533 consecutive participants who underwent percutaneous intervention (PCI) drug-eluting stent (DES) implantation were...
Abstract Nighttime light remote sensing has been an increasingly important proxy for human activities. Despite urgent need long-term products and pilot explorations in synthesizing them, the publicly available are limited. A Night-Time Light convolutional LSTM network is proposed applied to produce a 1-km annual Prolonged Artificial Nighttime-light DAtaset of China (PANDA-China) from 1984 2020. Assessments between modeled original images show that on average RMSE reaches 0.73, coefficient...