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Biomass estimation and uncertainty analysis based on CBErS-02.CCD camera data and field measurement

science china(Technological sciences) 2005年第S2期48卷 116-128页

作者： CHEN Liangfu1,2, GAO Yanhua1,3. CHENG Yu1,3. WEI Zheng1,3. XIAO Qing1,4, LIU Qinhuo1, YU Tao1, LIU Qijing5, GU Xingfa1 & TIAN Guoliang1 1. State key laboratory of remote {3. science, institute of remote {3. Applications, chinese academy of sciences, beijing 100101, {12. 2. Geography and Environment College, Jiangxi Normal University, Nanchang 3.0027, {12. 3. Graduate University of chinese academy of sciences, beijing 10003., {12. 4. beijing research institute of Uranium Geology, beijing 100875, {12. 5. institute of Geographic sciences and Natural resources research, chinese academy of sciences, beijing 100101, {12. State key laboratory of {2. {3. science Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China Geography and Environment College Jiangxi Normal University Nanchang China Graduate University of chinese academy of {2.s Beijing China beijing research institute of Uranium Geology Beijing China institute of Geographic sciences and Natural resources research Chinese Academy of Sciences Beijing China

The study site is located in Qianyanzhou experimental station and the surrounding area. Based on CBErS-02.satellite data and field measurement, we not only discussed the relationship between NDVI and biomass of two species of coniferous plantations, namely, pinus massoniana Lamb and pinus elliottii Engelm, but also introduced the biomass models based on NDVI. The comparison between measured biomass in Qianyanzhou and biomass derived from CBErS-02.CCD data showed that it is feasible to estimate biomass based on NDVI. But its limitations cannot be ignored. This kind of model depends on the dominant vegetation species. There are some effect factors in estimating biomass based on NDVI. This paper analyzes these factors based on fine-resolution CBErS-02.CCD data and some conclusions are drawn: In Qianyanzhou, the area with good vegetation coverage, the nonlinearity of NDVI has little influence on scaling-up of NDVI. As a result of surface heterogeneity, scaling-up can cause NDVI within each pixel to change. Because scaling-up can cause pixel attribute to change, the applicability of biomass model is one of the sources of error in estimating biomass.

关键词： NDVI biomass scaling effect scaling-up.

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Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary

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science china(Information sciences) 2011年第1期54卷 197-203页

作者： GENG Xiurui1,ZHAO YongChao1,LIU SuHong2.& WANG FuXiang3.1key {2. of Technology in Geo-spatial Information processing and Application System, institute of Electronics,{3. academy of sciences,beijing 100080,china 2.tate key {2. of remote {12. science,Jointly Sponsored by beijing Normal University and the institute of remote {12. Applications of {3. academy of sciences, School of Geography,beijing Normal University,beijing 100875,china 3.chool of Electronics and Information Engineering,Beihang University,beijing 100191,china key laboratory of Technology in Geo-spatial Information processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing China State key laboratory of {2. {3. science Jointly Sponsored by beijing Normal University and the institute of {2. {3. Applications of chinese academy of sciences School of Geography Beijing Normal University Beijing China School of Electronics and Information Engineering Beihang University Beijing China

This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3.D cross product definition into the high-dimensional vector *** on the properties of the cross product,the volume variance index(VVI)is proposed to be used in extracting automatically the endmembers of the hypherspectral imagery which eliminates the shortcoming of the traditional method of using simplex only where the extraction results were easily impacted by the abnormal pixels.A case study of endmembers extraction experiment using the VVI method with the AVIrIS data for Cuprite has shown a very good result.

关键词： endmember simplex hyperspectral imagery cross product

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Study of coastal water zone ecosystem health in Zhejiang province based on remote sensing data and GIS

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Acta Oceanologica Sinica 2010年第5期29卷 27-34页

作者： CHEN Zhenghua pAN Delu BAI Yan School of the Environment Gangxi University Nanning 530004 China State Environmental protection key laboratory of Satellite {2. {3. Ministry of Environmental Protection Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China State key laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China

The coastal ecosystem health assessment is a field of increasing *** this paper,a preliminary assessment of ecosystem health in Zhejiang coastal water zone was made,mainly based on remote sensing data and GIS *** spatial and quantitative evaluation was facilitated by the progress of remote sensing and GIS technique ***,human activities,hydrology and ecosystem problems in the study area were discussed and ***,from 4 aspects of human stress,physical,chemical and biological responses to anthropogenic activities and natural stress,several indicators such as water transparency（Secchi Disk Depth,SDD）,suspended substance concentration,dissolved inorganic nitrogen,active phosphate,chlorophyll,harmful algae bloom,as well as distribution of sewage,sea lanes and port were ***,the Analytic Hierarchical process was used for indicator weight calculation,and the ecosystem health criteria were established according to the integrative analysis of national water quality criteria,similar coastal ecosystem health research in other places or data inherent *** results indicated that from 2.05 to 2.07 the coastal water ecosystem health value in Zhejiang province was unhealthy and needs ecological restoration by human intervention.

关键词： coastal water zone ecosystem health indicator remote sensing GIS

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remote sensing based shrub above-ground biomass and carbon storage mapping in Mu Us desert,{2.

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science china(Technological sciences) 2010年第S1期53卷 176-183页

作者： XU Min 1,2.CAO ChunXiang 1,TONG QingXi 1,LI ZengYuan 3.ZHANG Hao 1,HE QiSheng 1,2.GAO MengXu 1,2.ZHAO Jian 1,2.ZHENG Sheng 1,2.CHEN Wei 1,2.& ZHENG LanFen 1 1State key {2. of remote {3. science,Jointly Sponsored by the institute of remote {3. Applications of chinese academy of sciences and {12. Normal University,{12.,{{13. 2.Graduate School of the chinese academy of sciences,{12. 100049,{{13. 3.research institute of Forest resources and Information Techniques,chinese academy of Forestry,{12. 10009,{{13. State key laboratory of {2. {3. science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing China Graduate School of the chinese academy of {2.s Beijing China research institute of Forest resources and Information Techniques Chinese Academy of Forestry Beijing China

The estimation of above-ground biomass(AGB) and carbon storage is very important for arid and semi-arid ***-1A/B satellite data combined with field measurement data was used for the estimation of shrub AGB and carbon storage in the Mu Us desert,*** correlations of shrub AGB and spectral reflectance of four bands as well as their combined vegetation indexes were respectively analyzed and stepwise regression analysis was employed to establish AGB prediction *** prediction equation based on ratio vegetation index(rVI)was proved to be more suitable for shrub AGB estimation in the Mu Us desert than *** AGB and carbon storage were mapped using the rVI based prediction model in *** statistics showed the western Mu Us desert has relatively high AGB and carbon storage,and that the gross shrub carton storage in Mu Us desert reaches 16 799 2.0 t,which has greatly contributed to the carbon fixation in northern china.

关键词： above-ground biomass carbon storage Mu Us desert HJ-1A/B remote sensing

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Application of ErS-1 scatterometer data to studying land surfaces ──Distributive characteristic of backscattering coefficient over china land surfaces

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chinese science Bulletin 1998年第23期43卷 1950-1955页

作者： WANG Xiangyun 1, WANG Chao 2. GUO Huadong 2.and SHI Yangshen 1 1. Department of Earth sciences, Nanjing University, Nanjing 2.0093. {2. 2. institute of {3. sensing Applications, chinese academy of sciences, beijing 100101, {2. Department of Earth sciences Nanjing University Nanjing China institute of remote {2. Applications Chinese Academy of Sciences Beijing China

ErS 1 WSC data were obtained by international cooperation. The distributive characteristics of radar backscattering coefficient image of china land surface are analyzed and the research results are presented. The capability of ErS 1 WSC data for monitoring land surfaces is investigated. The results show that the radar backscattering coefficient images can reveal the natural landform features of china land. Using the WSC data can discriminate six types of major land coverage, including evergreen vegetation and snow covered region, vegetation and crops, mountains, grassland, desert and grassland, desert. On the whole, the radar backscattering coefficient image of china land is the synthesis of the vegetation map and terrain map. Statistical study of the typical terrain shows that the radar backscatter coefficients of china land range from -2. dB to -5 dB. The lowest value corresponds to the deserts of Badain Jaran, Takla Makan, and Tengger. The highest value corresponds to snow covered regions of Himalaya Mountains and Tianshan Mountains.

关键词： ErS 1 WSC radar backscattering coefficient land surfaces coverage.

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research on the Earth system multi-body force system dynamical model

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science china(Technological sciences) 2006年第Z2期49卷 11-22页

作者： CHEN Xiaofei, BI Siwen, WU Fei & DONG Qianlin State key laboratory of {2. {3. science, Jointly Sponsored by the institute of {2. {3. Applications of chinese academy of sciences and beijing Normal University, {{12., {{13. laboratory of 3. Information Access and Application of Capital Normal University, beijing 10003., {{13. chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China beijing Normal Univ Beijing 100101 Peoples R China Capital Normal Univ Lab D Informat Access & Applicat 3 Beijing 100037 Peoples R China

This paper presents an overview of the binding force and freedom force of Earth system, and describes force moment to point and line and force system in the Earth system. It introduces the force theory of the Earth system multi-body force system from special or equivalent force system of Earth system mechanics, general force and no-power force of Earth system. Finally it describes the force and moment of nodes of Earth system and provides basic model for the research of the Earth system multi-body dynamics.

关键词： Earth system, multi-body system force, dynamics, basic models.

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A restarted Conjugate Gradient Method for Ill-posed problems

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Acta Mathematicae Applicatae Sinica 2003年第1期19卷 31-40页

作者： Yan-fei Wanglaboratory of remote {2. Information {3.s, institute of remote {2. Applications, chinese academy of {3.s, p.O. Box 9718, beijing 100101, chinaState {{12. laboratory of Scientific and Engineering Computing, institute of Computational Mathematics and Scientific/Engineering computing, chinese academy of {3.s, p.O. Box 2.19, beijing 100080, china laboratory of remote {2. Information {3.s Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China State key laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering computing Chinese Academy of Sciences Beijing China

Abstract This paper presents a restarted conjugate gradient iterative algorithm for solving ill-posed problems. The damped Morozov's discrepancy principle is used as a stopping rule. Numerical experiments are given to... 详细信息

关键词： keywords Ill-posed problems restarted CG damped discrepancy principle.

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An Earth multi-body system elasticity and plasticity dynamics model

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science china(Technological sciences) 2006年第Z2期49卷 23-29页

作者： ZHANG Qingxian, BI Siwen & GONG Huili Education Ministry key laboratory of Three-Dimensional Information Extraction and Application, Capital Normal University, {2. 10003., {3. State key laboratory of remote sensing science, IrSA, chinese academy of sciences, {12., {3. Capital Normal Univ Educ Minist Key Lab Dimens Informat Extract & App Beijing 100037 Peoples R China chinese Acad Sci IRSA State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China

research on the elasticity and plasticity dynamics of the Earth multi-body system, including the Earth multi-body system stratum-block's equivalent inertia force system and generalized inertia force, the Earth multi-body system stratum-block's equivalent inertia force system expressed with partial velocity and partial palstance, and Earth multi-body system generalized inertia force expressed with partial velocity and partial palstance. This research provides a theoretical foundation for further investigation of Earth multi-body dynamics.

关键词： Earth multi-body system, equivalent inertia force system, generalized inertia force, elasticity and plasticity, dynamics model.

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The correlation of multi-angle thermal infrared data and the choice of optimal view angles

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science china Earth sciences 2004年第6期47卷 570-576页

作者： FAN Wenjie1 & XU Xiru1,2.1.institute of remote {2. and GIS of peking University,{3. 100871,china 2.Center of remote {2. and GIS of {3. Normal University,{3. 100875,china institute of remote {2. and GIS of peking University Beijing China Center of remote sensing and GIS of {2. Normal University Beijing China

Based on the matrix formula of thermal infrared radiant system, the components temperature can be retrieved by the inversive matrix. Around the stability problem of retrieved result, the research work we did was focused on (i) the correlation of (wk,j) which is the key to affect the retrieval accuracy, (ii) a general method which can help us find the number of retrievable parameters and evaluate the retrieval error before its performance, (iii) the choice of “optimal viewing angle group” based on the formula of absolute error propagation. The row winter wheat field was chosen as an example. The results can provide a theoretical basis for multi-angle thermal infrared remote {2. and components temperature retrieval.

关键词： components temperature retrieval, correlation, number of retrievable parameters, optimal viewing angle group.

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Water target based cross-calibration of CBErS-02.CCD camera with MODIS data

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science china(Technological sciences) 2005年第S2期48卷 61-71页

作者： TANG Junwu1,2. GU Xingfa2. NIU Shengli1, MA Chaofei1 & MIN Xiangjun3.1. National Satellite Ocean Application Service (NSOAS), beijing 100081, {2. 2. State key {3. of remote sensing science, beijing 100010, {2. 3. {2. Center for resource Satellite Data and Applications (CrESDA), beijing 100083. {2. National Satellite Ocean Application Service (NSOAS) Beijing China State key laboratory of {2. {3. science Beijing China china Center for resource Satellite Data and Applications (CrESDA) Beijing China

In order to make quantitative watercolor sensing with china-Brazil Earth resources Satellite (CBErS-02. CCD camera, the MODIS data with higher accuracy is used to cross-calibrate the CCD camera over water targets. In homogeneous clear water area, two pairs of images obtained over the same area on the same day by the two sensors are selected. The top-of-atmosphere (TOA) radiances of the multispectral bands of CCD are calculated with the water and aerosol parameters from MODIS based on a water-atmosphere radiative transfer algorithm. The stripes in CCD image that caused by unequal response of the CCD array detectors are firstly removed before making the cross-calibration. The same part of CCD detectors is selected for the calibrations in the two images to eliminate the residual error of destriping and uniformity correction for the focus plane irradiance. It is shown that the calibration results from two different images are consistent. The error of this method is about 5%.

关键词： CBErS-02 CCD MODIS radiometric calibration cross-calibration. DOI: 10.13.0/05ze1006

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