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Progress in Natural science:Materials International 2002年第10期 80-82+84页

作者： WANG Chao, ZHANG Hong, LIU Zhi, CHENG Suozhong and LU Guonian(1. LARSIS, institute of remote sensing applications, chinese academy of sciences, beijing 100101, china 2. Department of Geography, Nanjing normal university, Nanjing 210097, china) LARSIS Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101China Department of Geography Nanjing Normal University Nanjing 210097 China

SAR interferometry (InSAR) has a high potential for surface displacement mapping in the range from millimeter to meter. In this paper the potential of ERS-1/2 SAR interferometry for mapping subtle land subsidence has been investigated. A time series of ERS-1/2 SAR data from February 1993 to February 2000 is collected from measurements taken in Suzhou city, Jiangsu Province, china, eight ERS-1/2 SAR images are used to create seven interferograms, and three differential interferograms are produced using the three-pass method, which clearly show the spatial extent of land subsidence. The deformation maps are validated by leveling surveys, the correlation coefficient and standard deviation between them are 0. 943 and 0.1706 respectively. Based on seven benchmarks, the subsidence rates are estimated, the overall trends are in close agreement with InSAR results. The results of study show that for the mapping of land subsidence in urban environments InSAR has a strong potential due to its cost-saving, high res

关键词： SAR interferometry land subsidence Suzhou.

Eco-Environmental Vulnerability Evaluation in the Yellow River Basin,china

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Pedosphere 2008年第2期18卷 171-182页

作者： WANG Si-Yuan LIU Jing-Shi YANG Cun-Jian institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100085 （China） institute of Electronics Chinese Academy of Sciences Beijing 100080 （China） Centre of RS and GIS applications Sichuan Normal University Chengdu 610066 （China）

Using remote sensing(RS)data and geographical information system(GIS),eco-environmental vulnerability and its changes were analyzed for the Yellow River Basin,*** objective of this study was to improve our understanding of eco-environmental changes so that a strategy of sustainable land use could be *** environmental numerical model was developed using spatial principal component analysis(SPCA)*** model contains twelve factors that include variables of land use,soil erosion,topography,climate,and *** this model,synthetic eco- environmental vulnerability index(SEVI)was computed for 1990 and 2000 for the Yellow River *** SEVI was classified into six levels,potential,slight,light,medium,heavy,and very heavy,following the natural breaks classification. The eco-environmental vulnerability distribution and its changes over the ten years from 1990 to 2000 were analyzed and the driving factors of eco-environmental changes were *** results show that the eco-environmental vulnerability in the study area was at medium level,and the eco-environmental quality had been gradually improved on the ***,the eco-environmental quality had become worse over the ten years in some *** the study area,population growth,vegetation degradation,and governmental policies for eco-environmental protection were found to be the major factors that caused the eco-environmental changes over the ten years.

关键词： eco-environmental vulnerability geographic information system (GIS) remote sensing (RS) spatial principal component analysis Yellow River Basin

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应用遥感技术评估土壤侵蚀影响因素

水土保持研究 2007年第5期14卷 330-333页

作者：王莉雯牛铮卫亚星中国科学院遥感应用研究所遥感科学国家重点实验室北京100101 辽宁师范大学城市与环境学院辽宁大连116029

在全世界范围内土壤侵蚀对农业生产、地基和水质量都具有负面影响。因此,进行土壤侵蚀评价是非常重要的,但其往往受到数据可用性和数据质量的限制。利用遥感技术有助于土壤侵蚀的评价,它可以为土壤侵蚀评价提供所需的空间数据。在过去... 详细信息

在全世界范围内土壤侵蚀对农业生产、地基和水质量都具有负面影响。因此,进行土壤侵蚀评价是非常重要的,但其往往受到数据可用性和数据质量的限制。利用遥感技术有助于土壤侵蚀的评价,它可以为土壤侵蚀评价提供所需的空间数据。在过去的30年许多研究在这方面做了不同深度层次的工作。本论文主要回顾了利用遥感技术评估土壤侵蚀影响因素的方法。土壤侵蚀影响因素的评估包括：地貌、土壤特性、植被覆盖和管理措施。

关键词：土壤侵蚀遥感影响因素

Using soil surface gray level to determine surface soil water content

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science china Earth sciences 2010年第10期53卷 1527-1532页

作者： ZHU YuanJun1,2,WANG YunQiang1,2 & SHAO MingAn1,2 1 state key laboratory of Soil Erosion and Dryland Farming on Loess Plateau,institute of Soil and Water Conservation,Northwest A & F university,Yangling 712100,china 2 institute of Soil and Water Conservation,chinese academy of sciences & Ministry of Water Resources,Yangling 712100,china 1. state key laboratory of Soil Erosion and Dryland Farming on Loess Plateau Institute of Soil and Water Conservation Northwest A & F University Yangling 712100 China2. Institute of Soil and Water Conservation Chinese Academy of Sciences & Ministry of Water Resources Yangling 712100 China

How to determine surface soil water content(SWC) quickly and accurately is fundamental in studying eco-hydrological processes and their *** we use laboratory experiments to determine surface SWC using soil surface gray level(SGL) values.A negatively exponential relationship exists between SGL and SWC,i.e.,SGL increases with the decrease of *** can be estimated based on initial SGL value(surface gray level when SWC=0),SWC,and a surface roughness coefficient characterized by mean soil particle *** variation range of SGL was larger than that of SWC,indicating that changes in SWC were enhanced in SGL,and that SGL would thus be sensitive to changes in soil *** the 95% confidence level,SWC can be determined by using the relationship between SWC and SGL established by the *** determination of SWC has a high precision when SWC was between dry and saturated.

关键词： Loess Plateau soil water remote sensing surface roughness

Risk analysis for the highly pathogenic avian influenza in china's mainland using meta-modeling

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science Bulletin 2010年第36期 4169-4179页

作者： CAO ChunXiang1, XU Min1,3, CHANG ChaoYi1,3, XUE Yong1, ZHONG ShaoBo1, FANG LiQun2, CAO WuChun2, ZHANG Hao1, GAO MengXu1,3, HE QiSheng1,3, ZHAO Jian1,3, CHEN Wei1,3, ZHENG Sheng1,3 & LI XiaoWen1 1 state key laboratory of remote sensing science, the institute of remote sensing applications of the chinese academy of sciences, beijing 100101, china 2 beijing institute of Microbiology and Epidemiology, state key laboratory of Pathogen and Biosecurity, beijing 100071, china 3 Graduate university of the chinese academy of sciences, beijing 100049, china

A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies and national highways was statistically relevant to the occurrence of HPAI. Migratory birds, mainly waterfowl, were important infection sources in HPAI transmission. In addition, the HPAI outbreaks had high spatiotemporal autocorrelation. This epidemic spatial range fluctuated 45 km owing to different distribution patterns of cities and water bodies. Furthermore, two outbreaks were likely to occur with a period of 22 d. The potential risk of occurrence of HPAI in china's mainland for the period from January 23 to February 17, 2004 was simulated based on these findings, providing a useful meta-model framework for the application of environmental factors in the prediction of HPAI risk.

关键词： highly pathogenic avian influenza meta-modeling remote sensing geographical information system Bayesian maximum entropy logistic regression spatiotemporal autocorrelation

Visible and near infrared reflectance spectroscopy for measuring soil heavy metal content as a quick method

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Acta Geochimica 2006年第S1期 225-226页

作者： Yunzhao WU1, Jun CHEN2, Junfeng JI2, Peng GONG1, Qilin LIAO3, Hongrui MA2 1 state key Lab of remote sensing science, institute of remote sensing applications, chinese academy of sciences, beijing 100101, china 2 Department of Earth science, Nanjing university, Nanjing 210093, china 3 Geological Survey of Jiangsu Province, Nanjing 210093, china

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扬州市区京杭大运河水污染可视化模拟研究

系统仿真学报 2009年第12期21卷 3653-3657,3661页

作者：徐丙立林珲龚建华臧永强黄明祥太空与地球信息科学研究所香港中文大学中国香港中国科学院遥感应用研究所遥感科学国家重点实验室北京100101

以京杭大运河扬州市区段为研究对象,根据其水文特征选定了一维和二维水质模型。研究了如何实现污染时空分布的可视化模拟。详细讲述了可视化模拟的几个关键技术,即基本框架、河流栅格数据提取与叠加显示、水质模型的数值化处理与集成、... 详细信息

以京杭大运河扬州市区段为研究对象,根据其水文特征选定了一维和二维水质模型。研究了如何实现污染时空分布的可视化模拟。详细讲述了可视化模拟的几个关键技术,即基本框架、河流栅格数据提取与叠加显示、水质模型的数值化处理与集成、多点排污计算与颜色匹配、污染曲线绘制及多时相历史污染再现。开发河流水污染可视化模拟系统,对扬州市区京杭大运河真实数据和假设数据分别模拟,效果良好。创新点在于将地理信息和专业的水污染模型无缝集成,并将数据、模型计算和结果表达集成在统一的实时可视化平台中。

关键词：河流水污染可视化模拟

remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases

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science china(Life sciences) 2006年第6期49卷 573-582页

作者： GONG Peng 1,XU Bing 2 & LIANG Song 1、3 1. state key laboratory of remote sensing science,jointly sponsored by the institute of remote sensing applications,Chi-nese academy of sciences and beijing normal university,Box 9718,beijing 100101,china 2. Department of Geography,university of Utah,Salt Lake City,UT 84112,USA 3. School of Public Health,university of California,Berkeley,CA 94720,USA 1. state key laboratory of remote sensing science Jointly Sponsored by the Institute of Remote Sensing Applications Chinese Academy of Sciences and Beijing Normal University Box 9718 Beijing 100101 China 2. Department of Geography University of Utah Salt Lake City UT 84112 USA 3. School of Public Health University of California Berkeley CA 94720 USA

Similar to species immigration or exotic species invasion,infectious disease transmis-sion is strengthened due to the globalization of human activities. Using schistosomiasis as an exam-ple,we propose a conceptual model simulating the spatio-temporal dynamics of infectious diseases. We base the model on the knowledge of the interrelationship among the source,media,and the hosts of the disease. With the endemics data of schistosomiasis in Xichang,china,we demonstrate that the conceptual model is feasible; we introduce how remote sensing and geographic information systems techniques can be used in support of spatio-temporal modeling; we compare the different effects caused to the entire population when selecting different groups of people for schistosomiasis control. Our work illustrates the importance of such a modeling tool in supporting spatial decisions. Our mod-eling method can be directly applied to such infectious diseases as the plague,lyme disease,and hemorrhagic fever with renal syndrome. The application of remote sensing and geographic informa-tion systems can shed light on the modeling of other infectious disease and invasive species studies.

关键词： spatio-temporal modeling, spatial connectivity, prevention and control of infectious diseases, biological invasion.

Optimum segmentation of simple objects in high-resolution remote sensing imagery in coastal areas

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science china Earth sciences 2006年第11期49卷 1195-1203页

作者： CHEN Jianyu1,2, PAN Delu1 & MAO Zhihua1 1. state key laboratory of Satellite Ocean Environment Dynamics, Second institute of Oceanography, state Oceanic Admini- stration, Hangzhou 310012, china 2. Shanghai institute of Technical Physics, chinese academy of science, Shanghai 200083, china 1. state key laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China 2. Shanghai institute of Technical Physics Chinese Academy of Science Shanghai 200083 China

The optimum segmentation of ground objects in a landscape is essential for interpretation of high-resolution remotely sensed imagery and detection of objects; and it is also a technical foundation to efficiently use spatial information in remote sensing imagery. Landscapes are complex system composed of a large number of heterogeneous components. There are many explicit homogeneous image objects that have similar spectral character and yet differ from surrounding objects in high-resolution remote sensing imagery. Thereby, a new concept of Distinctive Feature of fractal is put forward and used in deriving Distinctive Feature curve of fractal evolution in multiscale segmentation. Through distinguishing the extremum condition of Distinctive Feature curve and the inclusion relationship of fractals in multiscale representation the Scalar Order is built. This can help to determinate the optimum scale in image segmentation for simple-objects, and the potential meaningful image-object fitting the intrinsic scale of the dominant landscape object can be obtained. Based on the application in high-resolution remote sensing imagery in coastal areas, a satisfactory result was acquired.

关键词： optimum scale, multiscale segmentation, image interpretation, remote sensing, coastal area.

Development of distributed time-variant gain model for nonlinear hydrological systems

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science china Earth sciences 2005年第6期48卷 713-723页

作者： XIA Jun1, 2, WANG Gangsheng1, TAN Ge1, YE Aizhong2 & G. H. Huang3 1. key laboratory of Water Cycle & Related Land Surface Processes, institute of Geographic sciences and Natural Resources Research, chinese academy of sciences, beijing 100101, china 2. state key laboratory of Water Resources & Hydropower Engineering sciences, Wuhan university, Wuhan 430072, china 3. Faculty of Engineering, university of Regina, 3737 Wascana Parkway, Regina, Sask., S4S 0A2, Canada Correspondence should be addressed to Xia Jun 1. key laboratory of Water Cycle & Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China 2. state key laboratory of Water Resources & Hydropower Engineering sciences Wuhan University 430072 Wuhan China 3. Faculty of Engineering University of Regina 3737 Wascana Parkway S4S 0A2 Sask Regina Canada

In this paper, a rainfall-runoff modeling system is developed based on a nonlinear Volterra functional series and a hydrological conceptual modeling approach. Two models, i.e. the time-variant gain model (TVGM) and the distributed time-variant gain model (DTVGM) that are built on the platform of Digital Elevation Model (DEM), remote sensing (RS) and Unit Hydro-logical Process were proposed. The developed DTVGM model was applied to two cases in the Heihe River Basin that is located in the arid and semiarid region of northwestern china and the Chaobai River basin located in the semihumid region of northern china. The results indicate that, in addition to the classic dynamic differential approach to describe nonlinear processes in hy-drological systems, it is possible to study such complex processes through the proposed sys-tematic approach to identify prominent hydrological relations. The DTVGM, coupling the advan-tages of both nonlinear and distributed hydrological models, can simulate variant hydrological processes under different environment conditions. Satisfactory results were obtained in fore-casting the time-space variations of hydrological processes and the relationships between land use/cover change and surface runoff variation.

关键词： hydrological process, nonlinearity, time-variant gain model, distributed hydrological model.