A5081198274- Atmospheric aerosols and clouds
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing in Agriculture
- Air Quality Monitoring and Forecasting
- Calibration and Measurement Techniques
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Meteorological Phenomena and Simulations
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Marine and coastal ecosystems
- Aeolian processes and effects
- Cloud Computing and Resource Management
- Water Quality Monitoring and Analysis
- Remote Sensing and LiDAR Applications
- Planetary Science and Exploration
- COVID-19 impact on air quality
- Advanced Computational Techniques and Applications
- Simulation and Modeling Applications
- Geographic Information Systems Studies
- Solar and Space Plasma Dynamics
Henan Agricultural University
2025
Henan University
2025
Chinese Academy of Sciences
2015-2024
Aerospace Information Research Institute
2020-2024
Institute of Remote Sensing and Digital Earth
2013-2020
Beijing Normal University
2008-2020
State Key Laboratory of Remote Sensing Science
2008-2020
University of Chinese Academy of Sciences
2008-2019
London Metropolitan University
2014
Changsha University
2012
The outbreak of the COVID-19 virus in Wuhan, China, January 2020 just before Spring Festival and subsequent country-wide measures to contain virus, effectively resulted lock-down country. Most industries businesses were closed, traffic was largely reduced, people restrained their homes. This reduction emissions trace gases aerosols, concentrations which strongly reduced many cities around Satellite imagery from TROPOspheric Monitoring Instrument (TROPOMI) showed an enormous tropospheric NO2...
Mapping the mass concentration of near-surface atmospheric particulate matter (PM) using satellite observations has become a popular research niche, leading to development variety instruments, algorithms, and datasets over past two decades. In this study, we conducted holistic review major advances challenges in quantifying PM, with specific focus on datasets, modeling methods that have been developed 20 years. The aim study is provide general guide for future satellite-based PM mapping...
Abstract In this study, a decade long measurement of aerosol optical properties at two AERONET stations (Nam Co during 2006–2016 and QOMS 2009–2017) in the Tibetan Plateau (TP), region sensitive to climate change human perturbation, is presented. The baseline value depth (AOD) was 0.029 0.027 Nam QOMS, respectively, which are comparable or even lower than those some Arctic remote ocean locations. seasonality AOD values were order spring > summer winter autumn. Based on Ångström exponent (...
The small satellite renaissance began in the 1980s and is changing economics of space. Technological trends have supported advancement satellites 1–500 kg range. number countries actively participating has grown substantially during past years. Satellite constellations (groups working concert) are emerging as a powerful effective application. In this paper, we focus on than can perform remote sensing or Earth observation tasks. An overview presented literature observation. aim survey...
The advanced Himawari imager (AHI) aboard the Himawari-8 geostationary satellite provides high-frequency observations with broad coverage, multiple spectral channels, and high spatial resolution. In this paper, AHI data were used to develop an algorithm for joint retrieval of aerosol optical depth (AOD) over land surface bidirectional reflectance. Instead performing reflectance estimation before calculating AOD, AOD retrieved simultaneously using optimal method. uses atmospheric radiative...
In this study, simple dust detection and intensity estimation methods using Himawari-8 Advanced Himawari Imager (AHI) data are developed. Based on the differences of thermal radiation characteristics between other typical objects, brightness temperature difference (BTD) among four channels (BT11–BT12, BT8–BT11, BT3–BT11) used together for detection. When considering variation particles over different land cover types, a dynamic threshold scheme is adopted. An enhanced index (EDII) developed...
In this study, an improved geographically and temporally weighted regression (IGTWR) model for the estimation of hourly PM2.5 concentration data was applied over central eastern China in 2017, based on Himawari-8 Advanced Himawari Imager (AHI) data. A generalized distance longitude, latitude, day, hour, land use type constructed. AHI aerosol optical depth, surface relative humidity, boundary layer height (BLH) were used as independent variables to retrieve concentrations at 1:00, 2:00, 3:00,...
Abstract. A series of wildfires broke out in Western Russia starting late July 2010. Harmful particulates and gases released into the local Russian atmosphere have been reported, as possible negative consequences for global atmosphere. In this study, an extremely hazy area its transport trajectory on were analysed using aerosol optical depth (AOD) images retrieved via synergy method from Moderate Resolution Imaging Spectroradiometer (MODIS) data. addition, we used trace (NO2 SO2) CO2...
Abstract. A novel approach for the joint retrieval of aerosol optical depth (AOD) and type, using Meteosat Second Generation – Spinning Enhanced Visible Infrared Imagers (MSG/SEVIRI) observations in two solar channels, is presented. The based on a Time Series (TS) technique, which makes use visible bands at 0.6 μm 0.8 three orderly scan times (15 min interval between scans) to retrieve AOD over land. Using radiative transfer equation plane-parallel atmosphere, coupled differential equations...
Agricultural biomass burning (ABB) in central and east China occurs every year from May to October peaks June. During the period 26 16 June 2007, one strong ABB procedure happened mainly Anhui, Henan, Jiangsu Shandong provinces. This article focuses on analysis of this using a comprehensive set aerosol optical depth (AOD) data merged by optimal interpolation method Moderate Resolution Imaging Spectroradiometer, Multi-angle Spectroradiometer (MIRS) as well Sea-viewing Wide Field-of-view...
The Xinjiang Uyghur Autonomous Region (Xinjiang) is located near the western border of China. has a high frequency dust storms, especially in late winter and early spring. Geostationary satellite remote sensing offers an ideal way to monitor regional distribution intensity which can impact climate. In this study observations from Indian National Satellite (INSAT) 3D are used for storm detection because frequent 30-min with six bands. An analysis optical properties its quantitative...
Fine particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) profoundly affects environmental systems, human health and economic structures. Multi-source data advanced machine or deep-learning methods have provided a new chance for estimating the PM2.5 concentrations at high spatiotemporal resolution. In this paper, Random Forest (RF) algorithm was applied to estimate hourly of North China area (Beijing–Tianjin–Hebei, BTH) based on next-generation geostationary...
Abstract. One of four main focus areas the PEEX initiative is to establish and sustain long-term, continuous, comprehensive ground-based, airborne, seaborne observation infrastructure together with satellite data. The Advanced Along-Track Scanning Radiometer (AATSR) aboard ENVISAT used observe Earth in dual view. AATSR data can be retrieve aerosol optical depth (AOD) over both land ocean, which an important parameter characterization properties. In recent years, retrieval algorithms have...
Due to the limitations in number of satellites and swath width (determined by field view height satellites), it is impossible monitor global aerosol distribution using polar orbiting at a high frequency. This limits applicability optical depth (AOD) data sets many fields, such as atmospheric pollutant monitoring climate change research, where high-temporal resolution may be required. Although geostationary have high–temporal an extensive observation range, three or more are required achieve...
Aerosol optical thickness (AOT) retrieval from Moderate Resolution Imaging Spectroradiometer (MODIS) data has been well established over oceans, but this is not the case land. In article, AOT sets retrieved by exploiting synergy of TERRA and AQUA MODIS (SYNTAM) land are validated with ground-based measurements Robotic Network (AERONET) data, as National Aeronautics Space Administration (NASA) products, amended a DeepBlue algorithm in Asian (15–60° N 35–150° E) American areas (30–40° 100–120°...