A5070484101- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Cryospheric studies and observations
- Building Energy and Comfort Optimization
- Atmospheric aerosols and clouds
- Advanced Image Fusion Techniques
- Calibration and Measurement Techniques
- Meteorological Phenomena and Simulations
- Remote-Sensing Image Classification
- Environmental Changes in China
- Soil Moisture and Remote Sensing
- Climate variability and models
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Underwater Vehicles and Communication Systems
- Leaf Properties and Growth Measurement
- Adaptive Control of Nonlinear Systems
- Image and Signal Denoising Methods
- Infrared Target Detection Methodologies
- Urban Green Space and Health
- Advanced Measurement and Detection Methods
- Distributed Control Multi-Agent Systems
Aerospace Information Research Institute
2019-2025
Beijing Normal University
2011-2025
Chinese Academy of Sciences
2016-2025
State Key Laboratory of Remote Sensing Science
2016-2025
Harbin Engineering University
2023-2024
University of Chinese Academy of Sciences
2023
Institute of Remote Sensing and Digital Earth
2015-2020
Naval Aeronautical and Astronautical University
2017
Minzu University of China
2015
Guangdong Inspection and Quarantine Technology Center (China)
2013
In this study, the Visible Infrared Imager Radiometer Suite (VIIRS) land surface temperature (LST) environmental data record (EDR) and Moderate Resolution Imaging Spectroradiometer (MODIS) L2 swath LST products (collection 5) from both Terra Aqua satellites were evaluated against ground observations in an arid area of northwest China during Heihe Watershed Allied Telemetry Experimental Research (HiWATER) experiment. Four barren sites chosen for evaluation, which took place June 2012 to April...
In this study, two collection 6 (C6) Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 land surface temperature (LST) products (MYD11_L2 and MYD21_L2) from the Aqua satellite were evaluated using temperature-based (T-based) radiance-based (R-based) validation methods over barren surfaces in Northwestern China. The ground measurements collected at four sites June 2012 to September 2018 during Heihe Watershed Allied Telemetry Experimental Research (HiWATER) experiment used perform...
Land surface temperature (LST) is a vital parameter for studying global ecological, climatic, and environmental changes. Although various LST retrieval algorithms have been proposed, including split-window (SW), dual-window (DW), three-channel (TC), dual-angle (DA) algorithms, few studies compared these using the same satellite observations. The Sea Surface Temperature Radiometer (SLSTR) onboard Sentinel-3A provides unique opportunity to conduct this comparison owing its viewing capability...
Land surface temperature (LST) is an important parameter that characterizes the energy balance of land surface, and it widely used in various research fields. This paper proposes operational split-window (SW) algorithm for use with Chinese Fengyun-3 (FY-3) series satellite data, purpose generating long-term global LST products. The primarily involves three steps. First, brightness temperatures FY-3 Visible Infra-Red Radiometer (VIRR) were recalibrated using historical recalibration...
In this study, to improve the accuracy of land surface temperature (LST) products over barren surfaces, we present an operational algorithm retrieve LST from Moderate-Resolution Imaging Spectroradiometer (MODIS) thermal infrared data using physically retrieved emissivity products. The involved two steps. First, in MODIS split-window (SW) channels was estimated vegetation cover method, with bare soil component derived ASTER global set. Then, a modified generalized SW algorithm. This...
Radiometric measurements in the Thermal Infrared (TIR) domain exhibit an angular variation over most surface types, known as Radiation Directionality (TRD) phenomenon. A primary objective of ongoing development TRD physical models is to perform a correction effects obtain comparable land temperature products. In practice, it advised handle only having limited number input parameters for purpose operational applications. The use semi-empirical kernel-driven (KDMs) appears be good tradeoff...
Frequent water quality anomalies severely affect the ecological environment, hindering protection, restoration, and sustainable use of inland freshwater ecosystems in Sustainable Development Goals (SDG) 15.1. Thus, there is an urgent need to conduct real-time monitoring early warnings various anomalies. However, current remote sensing indices are aimed at only one specific anomaly event regions, which makes it difficult achieve high-precision on-orbit detection sudden complex geographical...
come from teaching and research institutions in France or abroad, public private centers.L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement recherche français étrangers, laboratoires publics privés. Evaluation of three modelling frameworks thermal infrared radiative transfer for directional anisotropies temperatures
Forest anomalies (e.g., pests, deforestation, and fires) are increasingly frequent phenomena on Earth’s surface. Rapid detection of these is crucial for sustainable forest management development. On-orbit remote sensing multi-type using single-temporal images one the most promising methods achieving it. Nevertheless, existing anomaly rely time series image analysis or designed to detect a single type anomaly. In this study, Anomaly Comprehensive Index (FACI) proposed Sentinel-2 images....
Forest anomalies (e.g., pests, deforestation, and fires) are common phenomena of the earth’s surface. Rapid detection these is important for sustainable forest management development. On-orbit remote sensing multi-type using single-temporal images one most promising methods achieving it. Nevertheless, existing anomaly rely on time-series image analysis designed a single type anomaly. Here, Anomaly Comprehensive Index (FACI) was proposed to rapidly detect (i.e., different thresholds...
A new directional canopy emissivity model (CE-P) based on spectral invariants is proposed in this paper. First, we prove the existence of invariant properties thermal infrared (TIR) band using a Monte Carlo model. Based it, equation derived from perspective absorption. In expression, single-scattering and multiscattering effects are separated analytically TIR band. We find that overall contribution multiple scatterings less than 0.005 when component emissivities over 0.90, decreases with...
Land surface component temperatures are important inputs in longwave radiation and evapotranspiration estimation models. Most temperature inversion approaches focus only on two components, namely, soil leaves, because space-based multiangle observations lacking. This approach is inconsistent with ground-based measurements, which suggest that the of sunlit shaded may significantly differ. paper explores a three-component scheme uses airborne thermal infrared to decrease difference between...
Surface upward longwave radiation (SULR) is an important component of the surface energy balance and closely related to land temperature emissivity. The estimation SULR plays role in study circulation climate change. State-of-the-art methods estimate SULR, including physical method hybrid method, are conducted without considering directional thermal (DTR), which may induce a large error estimation, particularly over sparsely vegetated surfaces. In this paper, we modified...
Surface upward longwave radiation (SULR) is a significant component of the surface budget and closely linked with evapotranspiration, soil moisture, cooling on clear nights. Therefore, accurately estimating SULR essential to better understand its spatiotemporal dynamics or characterize thermal environment given land surface. Currently, most methods for (including physical hybrid methods) fail account anisotropy, which can introduce errors into calculation. We previously proposed combined...
Surface upward longwave radiation (SULR) is one of the four components surface net radiation. Geostationary satellites can provide high temporal but coarse spatial resolution SULR products. Downscaling to a higher important for fine-scale thermal condition monitoring. Statistical regression downscaling widely used due its simplicity and built on assumption that parameter like land temperature (LST) or has relationship with related factors normalized difference vegetation index (NDVI),...