- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Atmospheric chemistry and aerosols
- Impact of Light on Environment and Health
- Atmospheric aerosols and clouds
- Advanced Vision and Imaging
- Polar Research and Ecology
- Methane Hydrates and Related Phenomena
- Mercury impact and mitigation studies
- Atmospheric and Environmental Gas Dynamics
- Image and Video Stabilization
- Microbial Community Ecology and Physiology
- Turtle Biology and Conservation
- Environmental Quality and Pollution
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Amphibian and Reptile Biology
- Research studies in Vietnam
- Urban Green Space and Health
- Effects and risks of endocrine disrupting chemicals
- Skin Protection and Aging
- Human Mobility and Location-Based Analysis
- Plant Ecology and Soil Science
- Mollusks and Parasites Studies
Nankai University
2025
Chinese Academy of Sciences
2012-2024
Institute of Geographic Sciences and Natural Resources Research
2024
Wuhan Institute of Physics and Mathematics
2019-2024
Wuhan National Laboratory for Optoelectronics
2024
University of Chinese Academy of Sciences
2007-2024
Hefei Institutes of Physical Science
2022-2023
Anhui Institute of Optics and Fine Mechanics
2018-2023
Zhengzhou University
2023
Ningbo University
2011-2023
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...
Since the launch of first land-observation satellite (Landsat-1) in 1972, land-cover mapping has accumulated a wide range knowledge peer-reviewed literature. However, this never been comprehensively analysed for new discoveries. Here, we developed spatialized database scientific literature English about mapping. Using database, tried to identify spatial temporal patterns and hotspots research around world. Among other findings, observed (1) significant mismatch between hotspot areas that are...
Urbanization is a substantial contributor to anthropogenic environmental change, and often occurs at rapid pace that demands frequent accurate monitoring. Time series of satellite imagery collected fine spatial resolution using stable spectral bands over decades are most desirable for this purpose. In practice, however, temporal variance arising from variations in atmospheric conditions, sensor calibration, cloud cover, other factors complicates extraction consistent information on changes...
Abstract. Proglacial lakes are rapidly expanding due to climate change and glacier retreat. Eukaryotic microorganisms play a crucial role in the biogeochemical cycles of these lakes. However, there is limited understanding formation processes eukaryotic microbial communities their responses material cycling proglacial lakes, which land reservoirs new habitats for biological evolution meltwater, particularly at different developmental stages. This study investigates distribution patterns...
A homemade portable no-blind zone laser detection and ranging (lidar) system was designed to map the three-dimensional (3D) distribution of aerosols based on a dual-field-of-view (FOV) receiver system. This innovative lidar prototype has space resolution 7.5 m time 30 s. blind zero meters, transition approximately 60 were realized with careful optical alignments, rather meaningful lower atmosphere observation. With scanning platform, used locate industrial pollution sources at ground level....
Abstract Introduction The angiotensin‐converting enzyme 2 (ACE2), which is expressed in cerebral vascular endothelial cells (CVECs), has been currently identified as a functional receptor for SARS‐CoV‐2. Methods We specifically induced injury to ACE2‐expressing CVECs mice and evaluated the effects of such targeted damage through magnetic resonance imaging (MRI) cognitive behavioral tests. In parallel, we recruited single‐center cohort COVID‐19 survivors further assessed their brain...
To identify the Nipponacmea limpets along coast of China, their taxonomy was investigated with three molecular markers (one mitochondrial gene, COI; two nuclear markers, 28S rDNA and H3). Three species (N. radula, N. fuscoviridis nigrans) were found among 274 individuals collected from 14 sites. Intraspecific variation far less than interspecific obvious barcoding gaps existed. These results indicate that can be efficiently identified by DNA barcoding. The phylogeographic patterns also...
Although the NeRF approach can achieve outstanding view synthesis, it is limited in practical use because requires many views (hundreds) for training. With only a few input views, Depth-DYN that we propose accurately match shape. First, adopted ip_basic depth-completion method, which recover complete depth map from sparse radar data. Then, further designed MLP network architecture, uses dense prior to constraining optimization and combines depthloss supervise network. When compared...