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Global vegetation change analysis based on MODIS data in recent twelve years

High Technology Letters 2016年第4期22卷 343-349页

作者：毛克彪 Li Zhaoliang Chen Jingming Ma Ying Liu Guang Tan Xuelan Yang Kaixian National Hulunber Grassland Ecosystem Observation and Research Station Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural Sciences International institute for earth System science Nanjing University State Key Laboratory of remote sensing science Institute of remote sensing and Digital Earth Research Institute and Beijing Normal University college of Resources and Environments Hunan Agricultural University Department of Geography University of Cincinnati

Vegetation cover change is critical for understanding impacts and responses of vegetation to climate change. A study found that vegetation in the regions between 45°N-70°N was increasing using normalized difference vegetation index( NDVI) from 1981 to 1991 ten years ago. The global vegetation growth has changed because of climate change in recent twelve years( 2001- 2012). After thorough analysis based on satellite data,it is found that it is evident that the global vegetation changed( NDVI) little,and it is increasing slightly in Northern hemisphere while it is decreasing slightly in Southern Hemisphere. For different latitudes,vegetation is increasing 0.17% every year from 60°N to 70 °N( R^2= 0.47,P > 0.013),while the vegetation is decreasing 0.11% every year from 10°N to 10° S( R^2= 0.54,P > 0.004). For different continents,the vegetation in South America is decreasing 0.16% every year( R^2= 0.78,P > 0.0001) and it is increasing 0.05% every year in Asia( R^2= 0.28,P > 0.072) and 0.25% every year in Oceania( R^2= 0.24,P > 0.1). The analysis of global vegetation in different seasons indicates that spatial distribution of global temperature and water vapor will affect the spatial distribution of vegetation,in turn,the spatial distribution of vegetation will also regulate the global temperature and water vapor spatial distribution at large scale. The growth and distribution of vegetation are mainly caused by the orbit of the celestial bodies,and a big data model based on gravitational-magmatic change with the solar or the galactic system as its center is proposed to be built for analyzing how the earth's orbit position in the solar and galaxy system affects spatial-temporal variations of global vegetation and temperature at large scale. These findings promise a holistic understanding of the global climate change and potential underlying mechanisms.

关键词： vegetation global climate change remote sensing

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Valuation of Lake and Marsh Wetlands Ecosystem Services in China

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Chinese Geographical science 2014年第3期24卷 269-278页

作者： ZHANG Yiran ZHOU Demin NIU Zhenguo XU Fengjiao Base of the State Key Laboratory of Urban Environmental Processes and Digital Modeling college of Resource Environment and Tourism Capital Normal University institute of remote sensing and Digital earth Chinese Academy of Sciences

Wetlands are highly productive natural ecosystems, providing valuable goods and services. There is growing interest in transferring ecosystem service value from the existing wetlands studied to other wetlands ecosystems at a large geographic scale. The benefit transfer method uses the known values from wetlands to predict the value of other wetland sites. This methodology requires only limited time and resources. The present study calculated the value of the ecological services provided by lake and marsh wetlands in China in terms of biodiversity indices, water quality indices and economic indices. Basic data on wetlands were obtained through remote sensing images. The results show that: 1) The total ecosystem service value of the lake and marsh wetlands in 2008 was calculated to be 8.1841 × 1010 United States Dollars(USD), with the marsh and lake wetlands contributing 5.6329 × 1010 and 2.5512 × 1010 USD, respectively. Values of marsh ecosystem service were concentrated in Heilongjiang Province(2.5516 × 1010 USD), Qinghai Province(1.2014 × 1010 USD), and Inner Mongolia Autonomous Region(1.1884 × 1010 USD). The value of the lakes were concentrated in Tibet Autonomous Region(6.223 × 109 USD), Heilongjiang(5.810 × 109 USD), and Qinghai(5.500 × 109 USD). 2) Waste treatment and climate regulation services contributed to 26.29% and 24.74% respectively, of the total ecosystem service value of the marsh wetlands. Hydrological regulation and waste treatment contributed to 41.39% and 32.75%, respectively, of the total ecosystem service value of the lake wetlands. 3) The total ecological service value of the lake and marsh wetlands was 54.64% of the total service value of natural grassland ecosystems and 30.34% of the total service value of forests ecosystems in China.

关键词： lake wetlands marsh wetlands ecosystem services

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Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau

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National science Review 2020年第3期7卷 492-495页

作者： Chuanfeng Zhao Yikun Yang Hao Fan Jianping Huang Yunfei Fu Xiaoye Zhang Shichang Kang Zhiyuan Cong Husi Letu Massimo Menenti State Key Laboratory of earth Surface Processes and Resource Ecology and College of Global Change and Earth System Science Beijing Normal University Collaborative Innovation Center for Western Ecological Safety College of Atmospheric Sciences Lanzhou University School of earth and Space sciences University of Science and Technology of China institute of Atmospheric Composition Chinese Academy of Meteorological Sciences State Key Laboratory of Cryospheric sciences Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences institute of remote sensing and Digital earth Chinese Academy of Sciences

With the most massive snow and ice globally between 60°S and 60°N, the Tibetan Plateau (TP), also called the third pole of the world, plays significant roles in the weather, climate and lives in South Asia and East Asia and even the world [1–3].Investigating the variation of weather and the climate system over the TP has long been carried out, which is signif-

关键词： Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau

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The development of an algorithm to enhance and match the resolution of satellite measurements from AMSR-E

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science China earth sciences 2011年第3期54卷 410-419页

作者： WANG YongQian SHI JianCheng JIANG LingMei DU JinYang TIAN BangSen State Key Laboratory of remote sensing science Institute of Remote Sensing Applications of Chinese Academy of Sciences Beijing 100101 China Graduate university of Chinese Academy of sciences Beijing 100049 China college of Environmental andResource science Chengdu University of Information Technology Chengdu 610225 China School of Geography Beijing Normal University Beijing 100875 China Center for earth Observation and Digital earth Chinese Academy of Sciences Beijing 100101 China

Microwave radiometers have many applications because of their penetration ability. However, two major problems remain that obstruct the development of microwave research. One factor that limits their commercial application is the relatively low resolution of microwave radiometers. The other is the non-uniform spatial resolution for each frequency of the radiometer. The resolution mismatch becomes a critical consideration when observations at two or more frequencies must be combined. In this paper, we have used the Backus-Gilbert method to solve these two problems, while AMSR-E is chosen as the research object. First, we derived the Backus-Gilbert method in detail. The simulated data were then used to decide the optimum parameters in the Backus-Gilbert method. To enhance the resolution, the Backus-Gilbert method has been applied to the AMSR-E data, which covered the Mexico Gulf and the Amazon River. After resolution was enhanced, detailed information was obtained and compared with visible high resolution data. To match the resolution, the AMSR-E data from the Oklahoma Little Washed were used to compute the Microwave Vegetation Index (MVI), which was developed by J. C. Shi. Compared to the original MVIs, the information contained in the MVIs that were processed by the Backus-Gilbert method is more reliable.

关键词： AMSR-E resolution enhancement resolution match Backus-Gilbert

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Estimating forest aboveground biomass using HJ-1 Satellite CCD and ICESat GLAS waveform data

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science China earth sciences 2010年第S1期53卷 16-25页

作者： GUO ZhiFeng1,CHI Hong1,2 & SUN GuoQing1,3 1State Key Laboratory of remote sensing science,Jointly Sponsored by the institute of remote sensing Applications of Chinese Academy of sciences and Beijing normal university,institute of remote sensing Applications,Chinese Academy of sciences,Beijing 100101,China 2Graduate university of Chinese Academy of sciences,Beijing 100049,China 3Department of Geography university of Maryland,college Park,MD 20742,USA 1. State Key Laboratory of remote sensing science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China2. Graduate University of Chinese Academy of Sciences Beijing 100049 China3. Department of Geography University of Maryland College Park MD 20742 USA

The ecosystem in northeastern China and the Russian Far East is a hotspot of scientific research into the global carbon *** aboveground biomass(AGB) is an important component in the land surface carbon *** this study,using forest inventory data and forest distribution data,the AGB was estimated for forest in Daxinganlin in northeastern China by combining charge-coupled device(CCD) data from the Small Satellite for Disaster and Environment Monitoring and Forecast(HJ-1) and Geoscience Laser Altimeter System(GLAS) waveform data from the Ice,Cloud and land Elevation Satellite(ICESat).The forest AGB prediction models were separately developed for different forest types in the research area at GLAS footprint level from GLAS waveform parameters and field survey plot biomass in the Changqing(CQ) Forest Center,which was calculated from forest inventory *** resulted statistical regression models have a R2=0.68 for conifer and R2=0.71 for broadleaf *** models were used to estimate biomass for all GLAS footprints of forest located in the study *** GLAS footprint biomass coupled with various spectral reflectivity parameters and vegetation indices derived from HJ-1 satellite CCD data were used in multiple regression analyses to establish biomass prediction models(R2=0.55 and R2=0.52 for needle and broadleaf respectively).Then the models were used to produce a forest AGB map for the whole study area using the HJ-1 *** data obtained from forest inventory data of the Zhuanglin(ZL) Forest Center were used as independent field measurements to validate the AGB estimated from HJ-1 CCD data(R2=0.71).About 80% of biomass samples had an error less than 20 t ha-1,and the mean error of all validation samples is 5.74 t *** pixel-level biomass map was then stratified into different biomass levels to illustrate the AGB spatial distribution pattern in this *** was found that HJ-1 wide-swath data and GLAS waveform data can be combined to estim

关键词： Disaster and Environment Monitoring and Forecast Satellite ICESat GLAS waveform boreal forest forest aboveground biomass multiple linear regression

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Upscaling in situ albedo for validation of coarse scale albedo product over heterogeneous surfaces

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International Journal of Digital earth 2017年第6期10卷 604-622页

作者： Xiaodan Wu Qing Xiao Jianguang Wen Qiang Liu Dongqin You Baocheng Dou Yong Tang State Key Laboratory of remote sensing science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republicof China college of Resourcesand Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China Joint Center for Global Change Studies BeijingPeople’s Republic of China college of Global Change and earth System science Beijing Normal UniversityBeijingPeople’s Republic of China

One of the essential steps for satellite albedo validation is upscaling in situ measurements to corresponding pixel scale over relatively heterogeneous land *** the multi-scale validation strategy is applicable for heterogeneous surfaces,the calibration of the high-resolution imagery during upscaling process is never perfect,and thus the upscaling results suffer from *** regression-kriging(RK)technique can compensate the calibration part by applying kriging to upscale residuals and produce more accurate upscaling *** this paper,in situ measurements and high spatial resolution albedo imagery combined with RK technique was *** method is illustrated by upscaling surface albedo from in situ measurements scale to the coarse pixel scale in the core experimental area of HiWATER,where 17 WSN nodes were deployed at heterogeneous *** upscaling results of this method were compared with the upscaling results from multi-scale *** results show that the upscaling method based on in situ measurements and high-resolution imagery combined with RK technique can capture the spatial characteristics of surface albedo ***,an attempt was made to expand this method in time ***,a preliminary validation of the Moderate Resolution Imaging Spectroradiometer albedo product was performed as the tentative application.

关键词： Upscaling albedo heterogeneous validation in situ multi-scale

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Forward a spatio-temporal trend surface for long-term groundmeasured albedo upscaling over heterogeneous land surface

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International Journal of Digital earth 2018年第5期11卷 470-484页

作者： Xiaodan Wu Jianguang Wen Qing Xiao Dongqin You Qiang Liu Xingwen Lin State Key Laboratory of remote sensing science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republic of China college of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China Joint Center for Global Change Studies BeijingPeople’s Republic of China college of Global Change and earth System science Beijing Normal UniversityBeijingPeople’s Republic of China

Upscaling ground albedo is challenged by the serious discrepancy between the heterogeneity of land surfaces and the small number of ground-based *** ground-based measurements cannot provide sufficient information on the characteristics of surface albedo at the scale of coarse pixels over heterogeneous land *** method of overcoming this problem is to introduce high-resolution albedo imagery as ancillary information for ***,due to the low frequency of updating of high-resolution albedo maps,upscaling time series of ground-based albedo measurements is *** paper proposes a method that is based on the idea of conceptual universal scaling methodology for establishing a spatiotemporal trend surface using very few high-resolution images and time series of ground-based measurements for spatial-temporal upscaling of *** construction of the spatiotemporal trend surface incorporates the spatial information provided by auxiliary remote sensing images and the temporal information provided by long time series of ground *** approach was illustrated by upscaling ground-based fine-scale albedo measurements to a coarse scale over the core study area in *** results indicate that this method can characterize the spatiotemporal variations in surface albedo well,and the overall correlation coefficient was 0.702 during the study period.

关键词： Trend surface upscaling spatiotemporal heterogeneous albedo

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China’s urban expansion from 1990 to 2010 determined with satellite remote sensing

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Chinese science Bulletin 2012年第22期57卷 2802-2812页

作者： WANG Lei LI CongCong YING Qing CHENG Xiao WANG XiaoYi LI XueYan HU LuanYun LIANG Lu YU Le HUANG HuaBing GONG Peng State Key Laboratory of remote sensing science Jointly Sponsored by Institute of Remote Sensing ApplicationsChinese Academy of Sciences and Beijing Normal UniversityBeijing 100101China Ministry of Education Key Laboratory for earth System Modeling Center for Earth System ScienceTsinghua UniversityBeijing 100084China college of Global Change and earth System Beijing Normal UniversityBeijing 100875China Division of Ecosystem science University of CaliforniaBerkeleyCA 94720-3114USA

Based on the same data source of Landsat TM/ETM+ in 1990s,2000s and 2010s,all urban built-up areas in China are mapped mainly by human *** results were checked and refined by the same analyst with the same set of *** results show during the last 20 years urban areas in China have increased exponentially more than 2 *** greatest area of urbanization changed from Northeastern provinces in 1990s to the Southeast coast of China in Jiangsu,Guangdong,Shandong,and Zhejiang in *** areas are mostly converted from croplands in *** 17750 km 2 croplands were converted into urban ***,the conversion from 2000 to 2010 doubled that from 1990 to *** the 20 years,the most urbanized provinces are Jiangsu,Guangdong,Shandong and *** also analyzed built-up areas,gross domestic production (GDP) and population of 147 cities with a population of greater than 500000 in *** result shows coastal cities and resource-based cities are with high economic efficiency per unit of built-up areas,resource-based cities have the highest population density,and the economic efficiency of most coastal provinces are lower than central provinces and *** newly created urban expansion dataset is useful in many fields including trend analysis of urbanization in China;simulation of urban development dynamics;analysis of the relationship among urbanization,population growth and migration;studies of carbon emissions and climate change;adaptation of climate change;as well as land use and urban planning and management.

关键词：中国城市城市扩张卫星遥感 Landsat 城市建成区资源型城市国内生产总值人口密度

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Mapping Spatially Seamless Fractional Vegetation Cover over China at a 30-m Resolution and Semimonthly Intervals in 2010-2020 Based on Google earth Engine

Journal of Remote Sensing

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Journal of remote sensing 2023年第1期3卷 444-462页

作者： Tian Zhao Xihan Mu Wanjuan Song Yaokai Liu Yun Xie Bo Zhong Donghui Xie Lingmei Jiang Guangjian Yan State Key Laboratory of remote sensing science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Beijing Engineering Research Center for Global Land remote sensing Products Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China State Key Laboratory of remote sensing science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Key Laboratory of Quantitative remote sensing Information Technology Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China State Key Laboratory of earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China college of Arts and sciences Beijing Normal UniversityZhuhai 519087China

Fractional vegetation cover(FVC)is a critical biophysical parameter that characterizes the status of terrestrial *** spatial resolutions of most existing FVC products are still at the kilometer ***,there is growing demand for FVC products with high spatial and temporal resolutions in remote sensing *** study developed an operational method to generate 30-m/15-day FVC products over *** datasets were employed to generate a continuous normalized difference vegetation index(NDVI)time series based on the Google earth Engine platform from 2010 to *** NDVI was transformed to FVC using an improved vegetation index(VI)-based mixture model,which quantitatively calculated the pixelwise coefficients to transform the NDVI to FVC.A comparison between the generated FVC,the Global LAnd Surface Satellite(GLASS)FVC,and a global FVC product(GEOV3 FVC)indicated consistent spatial patterns and temporal profiles,with a root mean square deviation(RMSD)value near 0.1 and an R^(2) value of approximately *** validation was conducted using ground measurements from croplands at the Huailai site and forests at the Saihanba ***,validation was performed with the FVC time series data observed at 151 plots in 22 small *** generated FVC showed a reasonable accuracy(RMSD values of less than 0.10 for the Huailai and Saihanba sites)and temporal trajectories that were similar to the field-measured FVC(RMSD values below 0.1 and R^(2) values of approximately 0.9 for most small watersheds).The proposed method outperformed the traditional VIbased mixture model and had the practicability and flexibility to generate the FVC at different resolutions and at a large scale.

关键词： Mapping Engine Spatial

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A prototype web-based analysis platform for drought monitoring and early warning

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International Journal of Digital earth 2020年第7期13卷 817-831页

作者： Mattijn van Hoek Jie Zhou Li Jia Jing Lu Chaolei Zheng Guangcheng Hu Massimo Menenti State Key Laboratory of remote sensing science Chinese Academy of SciencesInstitute of Remote Sensing and Digital EarthBeijingPeople’s Republic of China HKV Consultants LelystadThe Netherlands Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental SciencesCentral China Normal UniversityWuhanPeople’s Republic of China

It has long been recognized that an effective drought monitoring and early warning system,which provides functions for real-time condition monitoring and prediction,risk assessment,information dissemination and response recommendation,is very important for the preparedness for and mitigation of drought *** this article,we review the currently existing drought monitor and early warning systems,discuss applicable remote sensing datasets and drought indicators and present the development of a web-based quasi-real-time Global Drought Monitoring&Analysis Platform(Web-GDMAP).The Web-GDMAP is built upon a series of indicators derived from multi-source satellite remote sensing data and various other sources of *** a technical perspective,the Web-GDMAP system includes a series of components from data storage,model implementation and distribution,to client-side visualization and user intuitive *** a theoretical perspective,the Web-GDMAP system integrates multi-indicators on different aspects of drought,including anomalies in precipitation,anomalies in land surface thermal and vegetation conditions,water deficit of soil and plants,*** case studies on applying the developed Web-GDMAP in the Asian region are *** improvements and perspectives are discussed.

关键词： Drought monitoring remote sensing web-based Open Geospatial Consortium(OGC) time series

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