- Atmospheric and Environmental Gas Dynamics
- Land Use and Ecosystem Services
- Environmental Changes in China
- Remote Sensing and Land Use
- Water resources management and optimization
- Remote Sensing in Agriculture
- Flood Risk Assessment and Management
- Coastal wetland ecosystem dynamics
- Market Dynamics and Volatility
- Physiological and biochemical adaptations
- Energy, Environment, and Transportation Policies
- Diverse Aspects of Tourism Research
- Methane Hydrates and Related Phenomena
- Educational Reforms and Innovations
- Regional Economic and Spatial Analysis
- Water Quality Monitoring and Analysis
- Global Energy Security and Policy
- Evaluation Methods in Various Fields
- Environmental and Agricultural Sciences
- Oceanographic and Atmospheric Processes
- Marine and coastal ecosystems
- Global Energy and Sustainability Research
- Adipose Tissue and Metabolism
- Radioactive contamination and transfer
- Environmental Impact and Sustainability
Dezhou University
2014-2024
Chinese Academy of Sciences
2009-2024
Aerospace Information Research Institute
2020-2024
Beijing Institute of Big Data Research
2023-2024
Henan Agricultural University
2024
Changchun University of Science and Technology
2024
Ningxia University
2023
Liaoning University of International Business and Economics
2023
China Academy of Transportation Sciences
2014-2023
Heilongjiang University
2023
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...
Validating land-cover maps at the global scale is a significant challenge. We built validation data-set based on interpreting Landsat Thematic Mapper (TM) and Enhanced TM Plus (ETM+) images for total of 38,664 sample units pre-determined with an equal-area stratified sampling scheme. This was supplemented by MODIS enhanced vegetation index (EVI) time series data other high-resolution imagery Google Earth. Initially designed validating 30 m-resolution in Finer Resolution Observation...
Accurate extraction of built-up areas is helpful to urban development and map updating. Nighttime light (NTL) data can capture the lighting signal ground objects. However, most area conducted on public limited coarse spatial resolution NTL images. The Sustainable Development Science Satellite-1 (SDGSAT-1) provides 10 m panchromatic images, making it possible detailed structures. In extraction, boundaries are easily confused with background objects due similar spectral textual features. To...
The extraction of sheep from satellite images plays an extremely important role in the precise automation animal husbandry management. Current methods extracting mainly use hardware, such as radio frequency equipment and visual ear tags, which are prone to loss or damage. In this study, a new network, UGTransformer, was developed extract high spatial resolution remote sensing images. merge block designed fuse two scales features encoder improve multi-scale feature fusion capability. It...
AbstractThe Xizang plateau frog, Nanorana parkeri (Anura: Dicroglossidae), enters a dormant state in the winter response to seasonal cold and lack of food. To investigate physiological ecological characteristics overwintering this species, we measured habitat conditions (hibernacula temperatures, body temperature, water quality variables), morphology, metabolite concentrations, total antioxidant capacity (T-AOC), bacteria-killing ability (BKA) plasma during summer winter. We found that N....
Abstract Background In response to seasonal cold and food shortage, the Xizang plateau frogs, Nanorana parkeri (Anura: Dicroglossidae), enter a reversible hypometabolic state where heart rate oxygen consumption in skeletal muscle are strongly suppressed. However, effect of winter hibernation on gene expression metabolic profiling these two tissues remains unknown. present study, we conducted transcriptomic metabolomic analyses from summer- winter-collected N. explore mechanisms involved...
Abstract. Methane (CH4) is a significant greenhouse gas in exacerbating climate change. Approximately 25 % of CH4 emitted from storage tanks. It crucial to spatially explore the emission patterns tanks for efficient strategy proposals mitigate However, due lack publicly accessible tank locations and distributions, it difficult ascertain spatial pattern over large-scale area. To address this problem, we generated dataset (STD) by implementing deep learning model with manual refinement based...
Clouds are problematic in using Advanced Very High Resolution Radiometer (AVHRR) imagery for describing sea surface temperature (SST). The Tropical Rainfall Measuring Mission Microwave Imager (TMI) observes SST through clouds, providing daily, 1/4° maps under all weather conditions excepting rain. A TMI limitation, however, is coarse resolution. Optimal interpolation (OI) used to generate a cloud‐free, 5‐km, daily analysis the West Florida Shelf (WFS) by merging high‐resolution...
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We have combined a circulation model with one of colored dissolved organic matter (CDOM) photolysis to describe the fate terrestrial CDOM on West Florida shelf (WFS). Our results for summer 1998 suggest that near shore plume became entrained in coastal jet extending south from Suwannee River (Big Bend) region WFS towards Keys—a feature also evident satellite ocean color imagery. The coupled models photochemical losses were significant, but provided only minimal nitrogen source phytoplankton...
In recent years, the domestic live pig price has risen and fallen rapidly fluctuated frequently, which greatly impacted industry. The level of volatility in market served as a significant indication progress agricultural sector. Identifying dominant factors affecting fluctuation prices become more important. Based on monthly data industry from February 2009 to December 2022, this paper constructs an index system influencing four aspects: uncertain impact, supply factors, demand...