A5063493372- Remote Sensing in Agriculture
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Influenza Virus Research Studies
- Atmospheric aerosols and clouds
- Animal Disease Management and Epidemiology
- Zebrafish Biomedical Research Applications
- Remote-Sensing Image Classification
- Respiratory viral infections research
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Watershed Management Studies
- Environmental Changes in China
- Species Distribution and Climate Change
- Mitochondrial Function and Pathology
- Viral gastroenteritis research and epidemiology
- Virus-based gene therapy research
- Environmental Toxicology and Ecotoxicology
- Alzheimer's disease research and treatments
- Herpesvirus Infections and Treatments
- Animal Virus Infections Studies
State Key Laboratory of Remote Sensing Science
2016-2025
Beijing Normal University
2016-2025
South China Agricultural University
2014-2025
First Affiliated Hospital of Gannan Medical University
2025
Jinggangshan University
2019-2025
Ningbo University
2022-2025
Inner Mongolia Medical University
2025
Gannan Normal University
2021-2024
Institute of Remote Sensing and Digital Earth
2018-2024
Qinghai Normal University
2023-2024
The Global Land Surface Satellite (GLASS) product suite currently contains 12 products, including leaf area index, fraction of absorbed photosynthetically active radiation, green vegetation coverage, gross primary production, broadband albedo, longwave emissivity, downward shortwave radiation and land surface temperature, upwelling thermal all-wave net evapotranspiration. These products are generated from the Advanced Very High Resolution Radiometer Moderate Imaging Spectroradiometer...
The successful launch of Landsat 8 provides a new data source for monitoring land cover, which has the potential to significantly improve characterization earth’s surface. To assess performance, Operational Land Imager (OLI) were first compared with 7 ETM + using texture features as indicators. Furthermore, OLI investigated cover classification maximum likelihood and support vector machine classifiers in Beijing. results indicated that (1) quality was slightly better than visible bands,...
This paper assesses the potentiality of certainty factor models (CF) for best suitable causative factors extraction landslide susceptibility mapping in Sado Island, Niigata Prefecture, Japan. To test applicability CF, a inventory map provided by National Research Institute Earth Science and Disaster Prevention (NIED) was split into two subsets: (i) 70% landslides to be used building CF based model; (ii) 30% validation purpose. A spatial database with fifteen then constructed processing ALOS...
Abstract Accurate estimation of the satellite‐based global terrestrial latent heat flux (LE) at high spatial and temporal scales remains a major challenge. In this study, we introduce Bayesian model averaging (BMA) method to improve LE by merging five process‐based algorithms. These are Moderate Resolution Imaging Spectroradiometer (MODIS) product algorithm, revised remote‐sensing‐based Penman‐Monteith Priestley‐Taylor‐based modified Priestley‐Taylor semi‐empirical Penman algorithm. We...
The Qinghai-Tibetan Plateau (QTP) has the most fragile ecosystems in world. Over past decades, QTP is suffering from increasing external pressures of climate change, human activities, and natural hazards, thus ecological vulnerability assessment crucial for its sustainable development. This study proposes an objective automatic framework to assess under threats mountain ecosystem degradation economic activities then analyze spatio-temporal patterns 2000 2015. An index (EVI) established by...
Fractional vegetation cover (FVC) plays an important role in earth surface process simulations, climate modeling, and global change studies. Several FVC products have been generated using medium spatial resolution satellite data. However, the validation results indicate inconsistencies, as well temporal discontinuities of current products. The objective this paper is to develop a reliable estimation algorithm operationally produce high-quality product from Moderate Resolution Imaging...
Fractional vegetation cover (FVC) is an important biophysical parameter of terrestrial ecosystems. Variation FVC a major problem in research fields related to remote sensing applications. In this study, the global from 1982 2011 was estimated by GIMMS NDVI data, USGS land characteristics data and HWSD soil type with modified dimidiate pixel model, which considered types mixed pixels decomposition. The evaluation robustness accuracy MODIS Validation Land European Remote Instruments (VALERI)...
Temporal-related features are important for improving land cover classification accuracy using remote sensing data. This study investigated the efficacy of phenological extracted from time series MODIS Normalized Difference Vegetation Index (NDVI) data in Landsat The NDVI were first fused with via Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) algorithm to obtain at spatial resolution. Next, features, including beginning ending dates growing season, length seasonal...
Lumpy skin disease (LSD) is a viral of cattle caused by LSD virus (LSDV). This poses significant threat to stockbreeding and listed as one bovine notifiable diseases OIE. Before 2019, has not been reported in China. The first outbreak was determined China on August 3, 2019. Since then, total 7 outbreaks have other 6 provinces China, infecting 91 killing cattle. As now, LSDV detected western eastern also Taiwan Island outside Mainland undoubtedly an emerging the industry
Porcine circovirus type 3 (PCV3) is a newly identified from swine in the USA, China and Poland. This novel has been associated with porcine dermatitis nephropathy syndrome (PDNS), reproductive failure multisystemic inflammation; moreover, PCV3 poses potential threat to industry. In this retrospective study, phylogenetic analysis was conducted address epidemiology evolutionary dynamics of circovirus. The total positive sample rate 26.7% (76/285) increased gradually over past years. Of these...
Surface shortwave net radiation (SSNR) and surface downward (DSR) are the two components in earth's budget fundamental quantities of energy available at surface. Although several global products from circulation models, reanalyses, satellite observations have been released, their coarse spatial resolutions low accuracies limit application. In this paper, Global LAnd Satellite (GLASS) DSR product was generated Moderate Resolution Imaging Spectroradiometer top-of-atmosphere (TOA) spectral...
Uncertainties are one principal part of any practical problem. Like application, image processing process has different unknown parts as uncertainties which derived from reasons like initial digitalization, sampling to noise, special domain, and intensity. This study presents strong segmentation for the breast cancer mammography images by considering interval uncertainties. To consider system uncertainties, analysis been proposed. The main prominence this method is taking into account errors...
Carbon dioxide (CO2) in the atmosphere is an important variable that connects and terrestrial ecosystems. However, satellite-observed atmospheric CO2 concentrations are always spatially discrete, spatiotemporally continuous concentration maps with fine resolution scarce at global scale. Therefore, a dataset high-spatiotemporal was generated based on satellite observations environmental factors this study. First, affecting were selected, by integrating data observed OCO-2 satellite, sample...