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July 2005 - May 2020
Publications
Publications (78)
The Tibetan Plateau (TP), the Third Pole of the world, has experienced significant warming over the past several decades. Previous studies have mostly relied on station-observed air temperature (Ta), reanalysis data, and remotely sensed land surface temperature (LST) to analyze the warming trend over the TP. However, the uneven distribution of stat...
Land Surface Temperature (LST) products obtained by thermal infrared (TIR) remote sensing contain considerable blank areas due to the frequent occurrence of cloud coverage. The studies on the all-time reconstruction of the cloud-covered LST of geostationary meteorological satellite LST products are relatively few. To accurately fill the blank area,...
Nature reserves play a key role in the conservation of habitats, species and ecosystems in China. However, the issue of light pollution within these reserves has not received well recognition. Whereas previous studies have investigated light pollution in protected areas by remote sensing, the influence of the atmospheric scattered light from neighb...
With frequent extreme heat events (EHEs), rapid urbanization, and uneven social development, comprehensive assessment of heat-related health risks is important for tolerating hot weather. This paper proposed a quantitative method for assessing heat-related health risks at the grid scale. A combination of multisource remote sensing and socio-economi...
Land cover is an important variable for climate, hydrology, and ecology studies. With the availability of various high-resolution global land cover (GLC) products, conducting a comprehensive assessment on their accuracy and consistency is important. In this study, we compared the performance of three latest 10-m-resolution GLC products, which inclu...
As an important greenhouse gas (GHG) in the atmosphere, Carbon dioxide (CO
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) has a great impact on global climate change. Accurate knowledge of the spatio-temporal variations of CO
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Accurate information on microwave land surface emissivity (MLSE) is important for satellite data assimilation. In this paper, a new random forest (RF) algorithm is developed for retrieving MLSE under all-sky conditions. Using Level-1 brightness temperature data from the FengYun-3D (FY-3D) Microwave Radiation Imager (MWRI) in 2022, two global MLSE d...
Understanding the net ecosystem productivity (NEP) is essential for understanding ecosystem functioning and the global carbon cycle. Utilizing meteorological and The Advanced Very High Resolution Radiometer (AVHRR) remote sensing data, this study employed the Carnegie–Ames–Stanford Approach (CASA) and the Geostatistical Model of Soil Respiration (G...
Land surface temperature (LST) is one of the most important parameters of the interface between the earth surface and the atmosphere, and it plays a significant role in many research fields, such as agriculture, climate, hydrology, and the environment. However, the thermal infrared band of remote sensors is easily affected by clouds and aerosols, l...
Thermal infrared remotely sensed near-surface air temperature (T a) can provide gridded temperature information at relatively high spatial and temporal resolutions, and such measurements are thus widely used as an essential environmental parameter in numerous fields. However, data gaps caused by clouds highly restrict the applicability of remotely...
The Tibetan Plateau has experienced a rapid climate rise in recent years, which is a hot issue in the study of global change. However, the meteorological stations are sparsely and unevenly distributed on the Tibetan Plateau, which negatively influences the spatial representativeness of meteorological data on the climate change of the whole plateau....
Fine inhalable particulate matter (PM2.5) is one of the major air pollutants that affect human health and the environment. Detailed knowledge of the spatial distribution of PM2.5 is meaningful for the prevention and control of air pollution. Satellite remote sensing has become an effective way to observe PM2.5 concentrations. However, most studies...
Net ecosystem productivity (NEP), which plays a key role in the carbon cycle, is an important indicator of the ecosystem's carbon budget. In this paper, the spatial and temporal variations of NEP over Xinjiang Autonomous Region, China from 2001 to 2020 were studied based on remote sensing and climate re-analysis data. The modified Carnegie Ames Sta...
How does the urban spatial landscape (USL) pattern affect the land surface urban heat islands (SUHIs) and canopy urban heat islands (CUHIs)? Based on satellite and meteorological observations, this case study compares the impacts of the USL pattern on SUHI and CUHI in the central urban area (CUA) of Beijing using the satellite land-surface-temperat...
The climate effect and environmental pollution caused by dust discharged into the atmosphere have attracted much attention. However, the driving factors of dust emissions have not been studied thoroughly. Here, spatiotemporal variations in dust emissions and the relationship between dust emissions and large-scale atmospheric circulation in East Asi...
The near-surface (2 m) temperature lapse rate (TLR) is a key parameter in various environmental studies. However, high spatial and temporal resolution TLRs are not usually available on regional scales, especially in mountainous regions. The purpose of this study is to model spatiotemporal continuous TLR in a mountain area using observed air tempera...
Land surface temperature (LST) plays a key role in surface-atmosphere interactions and energy exchange processes and is an important parameter indispensable for Earth science research. The LST accuracy retrieved from the Advanced Geosynchronous Radiation Imager (AGRI) onboard China's geostationary meteorological satellite FY-4A has not been well ev...
Against the background of global warming, research on the spatial distribution of high-temperature risk is of great significance to effectively prevent the adverse effects of high temperatures. By using air temperature data from 1951 to 2018 measured by meteorological stations located in the Yangtze River Delta urban agglomeration, the daily maximu...
A good lighting environment for roads at night is essential for traffic safety. Accurate and timely knowledge of road lighting quality is meaningful for the planning and management of urban road lighting systems. Traditional field observations and mobile observations have limitations for road lightning quality evaluation at a large scale. This stud...
To address the problems in remote sensing image change detection such as missed detection of features at different scales and incomplete region detection, this paper proposes a high-resolution remote sensing image change detection model (Multi-scale Attention Siamese Network, MASNet) based on a Siamese network and multi-scale attention mechanism. T...
Land surface temperature (LST) is one of the most important parameters in urban thermal environmental studies. Compared to natural surfaces, the surface of urban areas is more complex, and the spatial variability of LST is higher. Therefore, it is important to obtain a high-spatial-resolution LST for urban thermal environmental research. At present...
Currently, the satellite data used to estimate terrestrial net primary productivity (NPP) in China are predominantly from foreign satellites, and very few studies have based their estimates on data from China’s Fengyun satellites. Moreover, despite their importance, the influence of land cover types and the normalized difference vegetation index (N...
Based on a summer observational experiment and the meteorological data from 2009 to 2018, this paper investigated the local climate effects of representative 1 Level One and 2 Level Two wind corridors (LOC and LTCs, respectively) in the central urban area (CUA) of Beijing by introducing the wind speed ratio (WsR) and urban heat island (UHI) intensi...
Accurate and high‐resolution air temperature prediction is important in many different applications. Hourly air temperature forecasting in mountainous areas is necessary and important because mountainous areas are becoming increasingly important areas of human activities. At present, scientists successfully employ numerical weather prediction (NWP)...
The multilevel effects of landscape composition and configuration on daytime land surface temperature (LST) has been examined. However, how 2D and 3D characteristics of building and tree hierarchically interact to influence LST and how such effects vary diurnally were yet unknown. Using thermal satellite imagery, 2D and 3D characteristics of urban...
Zhangjiakou is an important wind power base in Hebei Province, China. The impact of its wind farms on the local climate is controversial. Based on long-term meteorological data from 1981 to 2018, we investigated the effects of the Shangyi Wind Farm (SWF) in Zhangjiakou on air temperature, wind speed, relative humidity, and precipitation using the a...
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumulative confirmed cases (CCCs) from Jan 17 to Mar 1, 2020, in mainland China at the city level, using...
Land Surface Temperature (LST) is an important parameter in many research fields such as dynamic simulation of land surface processes, regional and global change analysis. It has always been a hot research topic on how to obtain land surface temperature with higher spatio-temporal resolution. Due to the limitation in the availability of satellite i...
Accurate information on the spatial distribution of poverty is of great significance to the formulation and implementation of the government’s targeted poverty alleviation policy. Traditional poverty mapping is mainly based on household survey data and statistical data, which cannot describe the spatial distribution of poverty well. This paper pres...
Exploring the influence of urban spatial morphology layout on the urban heat island (UHI) at the urban scale is of great significance for the improvement of ventilation environment and the ecological and livable urban planning. Taking Beijing, China as an example, this study analyzed the UHI spatial characteristics using the hourly temperature data...
Land surface temperature (LST) is an important environmental parameter in climate change, urban heat islands, drought, public health, and other fields. Thermal infrared (TIR) remote sensing is the main method used to obtain LST information over large spatial scales. However, cloud cover results in many data gaps in remotely sensed LST datasets, gre...
Based on the meteorological data (2009–2018) acquired by high-density automatic meteorological stations in the central urban area (CUA) of Beijing, this study adopted an urban-rural ratio method to construct a qr to quantify the impact of urbanization on the spatial and temporal distribution of specific humidity (q). And the urban morphological par...
Over 70% of the cities in China are experiencing urbanization, and urban heat island intensity (UHII) evaluation studies have been widely performed. However, under the rapid economic development in China, few studies on surface urban heat island (SUHI) interannual variations have been conducted in coastal cities in the leading economic region of th...
Population estimates for high-resolution spatial grid cells data can reflect detailed spatial distribution of population, which are valuable for epidemiological studies, disaster risk assessments, and public resource allocation. However, choice of source data and methods for producing gridded population data sets can introduce spatial bias, especia...
Based on the meteorological data (2009-2018) acquired by high-density automatic meteorological stations (AMSs) in Beijing, the influences of urbanization on urban heat island (UHI), wind, and humidity were described by UHI, wind speed ratio (Wsr), and specific humidity ratio (qr), respectively. For the 37 AMSs in central Beijing, the relationships...
In order to explore the actual impact of urban spatial morphology on real near-surface wind speed on the urban scale, taking Beijing, China as an example，this study adopted an urban-rural ratio method to construct a WsR (wind speed ratio) to quantify the impact of urbanization on the near-surface wind speed. The spatial morphological parameters suc...
Remote sensing data have been widely used in research on population spatialization. Previous studies have generally divided study areas into several sub-areas with similar features by artificial or clustering algorithms and then developed models for these sub-areas separately using statistical methods. These approaches have drawbacks due to their s...
The intensity and frequency of extreme heat events are increasing globally, which has a great impact on resident health, social life, and ecosystems. Detailed knowledge of the spatial heat pattern during extreme heat events is important for coping with heat disasters. This study aimed to monitor the characteristics of the spatial pattern during the...
In recent years, the number of artificial light sources has tremendously increased with the development of lighting technology and the economy. Nighttime light pollution has been an increasing environmental problem, resulting in negative impacts on human health and the ecological environment. Detailed knowledge of light pollution is important for t...
This study attempts to develop an effective algorithm to directly derive near surface air temperature from EOS/MODIS data. From a theoretical viewpoint, the split-window algorithm for retrieving near surface air temperature was developed based on the radiative transfer equation, which includes the calculation of atmospheric thermal radiance, the li...
Given the threats that climate change poses to solid water reservoirs on the Tibetan plateau (TP), there is significant interest in understanding spatial patterns of climate change and their causes. Weather station observations have been extensively examined, but are scarce, resulting in an incomplete understanding of climate change across the TP,...
Satellite data, characterized by extensive regional coverage and relatively high spatial resolution, have a distinct advantage for examining elevation‐dependent warming (EDW) across rugged topography in mountain regions where there are sparse in situ observations. Based on recent (2001–2015) comprehensive satellite‐based data sets (2 m air temperat...
The response of vegetation to climate at different scales provides synthetic understandings of environmental changes. In this paper, the spatio-temporal variation of the vegetation and its relationship with climatic factors in the Bosten Lake Basin was studied based on MODIS NDVI dataset. The correlation and time lag between the NDVI (16-day NDVI a...
This article proposes a method for estimating the surface urban heat island intensity (SUHI) of urban areas, which addresses prior difficulties in the determination of rural contexts that may be used as a point of comparison. Based on indexes produced using this method, as well as remotely sensed datasets, the article compares the temporal and spat...
Detailed knowledge of air temperature ( $T_{a}$ ) is desired for various scientific applications. However, in the Tibetan Plateau (TP), the meteorologically observed $T_{a}$ is limited due to the low density and uneven distribution of stations. This paper aims to develop a 1-km resolution monthly mean $T_{a}$ dataset over the TP during 2001–2015 fr...
The Tibetan Plateau (TP), the “Third Pole” of the world, has experienced significant warming over the past several decades. Several studies have investigated the temperature change in this region, but data scarcity and the uneven distribution of meteorological stations have resulted in uncertainty concerning the warming trend. Here, we calculated a...
Apparent temperature is more closely related to mortality during extreme heat events than other temperature variables, yet spatial epidemiology studies typically use skin temperature (also known as land surface temperature) to quantify heat exposure because it is relatively easy to map from satellite data. An empirical approach to map apparent temp...
A transboundary river is a river that flows through two or more countries. Due to the international policies of the government in each country, it is difficult to investigate the pollution conditions in a transboundary watershed. In this study, pollution sources in the Red River Valley, Southeast Asia were derived from Google Earth by visual interp...
Air temperature (Ta) is an important climatological variable for forest research and management. Due to the low density and uneven distribution of weather stations, traditional ground-based observations cannot accurately capture the spatial distribution of Ta, especially in mountainous areas with complex terrain and high local variability. In this...
Urban heat island (UHI) effect is an important impact factor of the regional climate and ecological environment. How to observe and analyse the spatial distribution of UHI has become an important issue of urban environmental research. In this paper, the near-surface air temperature of Beijing was derived based on the Landsat/TM satellite imagery on...
Abstract Air temperature is an essential component in microclimate and environmental health research, but difficult to map in urban environments because of strong temperature gradients. We introduce a spatial regression approach to map the peak daytime air temperature relative to a reference station on typical hot summer days using Vancouver, Canad...
Aerosol optical depth (AOD) is a key indicator of atmospheric environment. Aerosol remote sensing is the most efficient way to obtain the temporal and spatial distributions of AOD. In this paper, the data from Environment Satellite (HJ-1) CCD camera were employed to retrieve AOD by using deep blue algorithm over the Yangtze River Delta. The third b...
Satellite remote sensing is an important approach for obtaining land surface temperature (LST) over wide temporal and spatial ranges. However, the presence of clouds generates numerous missing and abnormal values that affect the application of LST data. To fill data gaps and improve data quality, the Harmonic ANalysis of Time Series (HANTS) algorit...
Land surface temperature (LST) is an essential parameter in the physics of land surface processes. The spatiotemporal variations of LST on the Tibetan Plateau were studied using AQUA Moderate Resolution Imaging Spectroradiometer LST data. Considering the data gaps in remotely sensed LST products caused by cloud contamination, the harmonic analysis...
Spatially distributed air temperature is desired for various scientific studies, including climatalogical, hydrological, agricultural, environmental and ecological studies. In this study, empirical models with regard to land cover and spatial scale were introduced and compared to estimate air temperature from satellite-derived land surface temperat...
积雪是西北干旱地区河流的主要补给源,是绿洲的生命线.积雪的时空变化是全球变化的区域响应敏感因子之一,同时也是影响西北干旱地区地表水资源变化的主要因子之一.本研究利用MODIS雪盖产品、地表温度、SSM/I雪深、DEM等数据,通过GIS空间分析及地统计分析功能,系统分析了博斯腾湖流域雪盖、雪深的时空变化规律及其与影响因素之间的关系.研究表明,研究区雪深和雪盖多年月平均值从8月份到1月份达到最大值,到7月份降到最低值.但月最大雪深却出现在3月份.雪盖、雪深与地温相关系数分别达到-0.878、-0.853,与分布高程均值相关系数分别达到-0.626和-0.791.雪深最大值受海拔影响有明显的陡坎效应.从12月到8月份随着时间的推移雪的深度在降低,陡坎向高海拔方向移动.9-11月份雪深在加深,陡坎向...
Near surface air temperature is an important meteorological parameter and is closely related to agriculture production. Comparing with the traditional meteorological observation, satellite remote sensing provides a straightforward and consistent way to obtain air temperature over regional and global scales with more spatially detailed information....
One of the significant environmental consequences of urbanization is the urban heat island (UHI). In this paper, Landsat TM
images of 1986 and 2004 were utilized to study the spatial and temporal variations of heat island and their relationships
with land cover changes in Suzhou, a Chinese city which experienced rapid urbanization in past decades....
Poyang Lake is the largest shallow lake wetlands in China, and which vegetation succession is rapid under high changeable hydrological regimes. This study measured the fluxes of carbon dioxide and methane simultaneously by opaque static chamber-gas chromatography technique for typical wetland vegetation ecosystems in the growing season. In view of...
Methane (CH4), a significant atmospheric trace-gas, controls numerous chemical processes and species in the troposphere and stratosphere and is also a strong greenhouse gas with significantly adverse environmental impacts. Since the SCIAMACHY on the Envisat was in orbit since 2002, CH4 measurements at a regional scale became available. This study (...
Land surface temperature (LST) is one of the key parameters in the atmosphere-land energy and water transfers. An understanding of the spatial and temporal variations of land surface temperature is important to broad research fields, including climate, vegetation, hydrology, etc. In this paper, the cloud contamination of MODIS LST product was analy...
This paper presents the possibilities of extracting total potassium concentration in topsoil from Visible-near-infrared (VNIR) spectra and reflectance of image data. Stepwise multiple linear regression (SMLR) and partial least-square regression (PLSR) were used to select wavelengths which were highly correlated with the concentration of potassium....
Desertification in the arid and semiarid regions directly influences the density and growth status of vegetation, NDVI (Normalized Difference Vegetation Index) has been widely used to monitor vegetation changes. This study analyzed the spatial patters of vegetation activity and its temporal variability in Tarim Basin, Xinjiang, China since 1998 to...
One of the significant environmental consequences of urbanization is the urban heat island (UHI). To study the urban heat island in Suzhou city, remote sensing and GIS technology were utilized to quantitatively analysis the thermal spatial and temporal distributions. Landsat TM images from 1986 and 2004 were selected to derive brightness temperatur...
MODIS data provides good data resources in fog detection for its abundant bands and high resolution. The heavy fogs in the Yangtze River Delta during Dec. 20<sup>th</sup> and 22<sup>th</sup> in 2007 are detected by multi-spectral threshold method. According to the differences of the radiation features of the cloud, the fog and the land in the visib...
During the last two decades, the Yangtze River Delta, one of the most economically developed areas of China, experienced rapid urban expansion, and accordingly, masses of cropland have been converted into human buildings. To analyze the influence of landscape change, it is important to provide up-to-date land cover information of this area. This pa...
The Yangtze River Delta is one of the most economically developed regions in China. During the last decade, this area experienced rapid urban expansion, and accordingly, masses of cropland have been converted into human buildings. To analyze the influence of landscape change, it is important to provide up-to-date land cover information of this area...
This paper examined the possibilities of multi-spectra data obtained under laboratory conditions for the assessment of soil nitrogen content using regression statistic method. First, the reflectance spectra were resampled to VNIR bands of multi-spectral sensors (TM and ASTER) according to their reflectance response functions. Then, the experiential...
Remote sensing plays an important role in the mineral exploration. One of the common applications is to locate alteration zones related to gold deposits. Many studies based on landsat thematic mapper (TM) imagery have been carried out and several methods have been developed. However, the advanced spaceborne thermal emission and reflection radiomete...
