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Monitoring of rice crop using ENVISAT ASAR data

Science China Earth Sciences 2006年第7期49卷 755-763页

作者： DONG Yanfang1, 2. SUN Guoqing1,3 & PANG Yong4.1. State Key laboratory of {2. sensing Science, {2. of {2. sensing Applications, chinese academy of Sciences, beijing 100101, China 2. Graduate University of chinese academy of Sciences, beijing 100039, China 3. Department of Geography, University of Maryland, College Park, MD 2.74., USA 4. forest remote sensing lab, research institute of forest resource and information technology,{14., beijing 100091, China 1. State Key laboratory of remote {2. Science Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China 2. Graduate University of chinese academy of Sciences Beijing 100039 China 3. Department of Geography University of Maryland College Park MD 20742 USA 4. forest remote sensing lab Research Institute of Forest Resource and Information Technology Chinese Academy of Forestry Beijing 100091 China

Because of the cloudy conditions during the rice growth period, rice is one of the agri-cultural crops most suited to monitoring with the SAR instruments. Backscatter response measured by SAR is correlated with rice conditions, including height, density, biomass and structure, which are variable at different growing stages. In this paper, multi-date ENVISAT ASAR Alternating Polarization Mode (APMode) imageries were acquired during the rice crop growing cycle. At the same time, the rice parameters were measured in field. A continuous canopy model was used to compute the back-scattering from rice fields during the growth cycle, and the relationship between rice parameters and radar backscattering coefficients from both ASAR and modeling was analyzed. The effects of polari-zation, incidence angle and polarization on radar backscattering coefficients were analyzed. It was found that simulated radar backscatter has similar trends as ASAR data. This will be meaningful for the further research of rice parameters estimation from ASAR data. Different features show signifi-cantly different signatures in ASAR images and they follow some certain laws, so rice area can be accurately mapped by using multi-temporal SAR images, then rice yield can be estimated.

关键词： rice, ASAR, radar backscattering, model.

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Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data

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Science China(Technological Sciences) 2008年第S2期51卷 176-187页

作者： BAO YunFei1,2.CAO ChunXiang1,ZHANG Hao1,CHEN ErXue3,HE QiSheng1,2.HUANG HuaBing1,LI ZengYuan3,LI XiaoWen1,4.& GONG Peng1 1 State Key laboratory of {2. sensing Science,jointly sponsored by the {2. for {2. sensing Applications of chinese academy of Sciences and beijing Normal University,beijing 100101,China 2.Graduate University of the chinese academy of Sciences,beijing 10004.,China 3 {2. of {14. resource information Technique,the chinese academy of {14.ry,beijing {2.},China 4.{2.} Center for {2. sensing and GIS,Department of Geography and beijing Key laboratory for {2. sensing of Environment and Digital Sites,beijing Normal University,beijing 100875,China State Key laboratory of remote {2. Science jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China Graduate University of the chinese academy of Sciences Beijing 100049 China institute of forest {2. information Technique the Chinese Academy of Forestry Beijing 100091 China research Center for remote {2. and GIS Department of Geography and Beijing Key Laboratory for Remote Sensing of Environment and Digital Sites Beijing Normal University Beijing 100875 China

We proposed a method to separate ground points and vegetation points from discrete return,small footprint airborne laser scanner data,called skewness change *** method,which makes use of intensity of laser scanner data,is especially applicable in steep,and forested *** does not take slope of forested area into account,while other algorithms consider the change of slope in steep forested *** ground points and vegetation points can be used to estimate digital terrain model(DTM) and fractional vegetation cover,respectively.A few vegetation points which were classified into the ground points were removed as noise before the generation of *** method was tested in a test area of 10000 square meters.A LiteMapper -5600 laser system was used and a flight was carried out over a ground of 700―800 *** this tested area,a total number of 154. field measurement ground points were measured with a total station TOPCON GTS-602.and TOPCON GTS -7002.for validation of DTM and the mean error value is -18.5 cm and the RMSE(root mean square error) is ±2..9 cm.A data trap sizes of 4. in diameter from airborne laser scanner data was selected to compute vegetation fraction *** of fractional vegetation cover was carried out using 15 hemispherical photographs,which are georeferenced to centimeter accuracy by differential *** gap fraction was computed over a range of zenith angles 10° using the gap light analyzer(GLA) from each hemispherical *** R2.for the regression of fractional vegetation cover from these ALS data and the respective field measurements is *** this study presents a method for synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data.

关键词： LIDAR intensity skewness synchronous DTM fractional vegetation cover

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Analysis of forest backscattering characteristics based on polarization coherence tomography

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Science China(Technological Sciences) 2010年第S1期53卷 166-175页

作者： LUO HuanMin 1,LI XiaoWen 1,2.CHEN ErXue 3,CHENG Jian 4.& CAO ChunXiang 2. institute of Geo-Spatial {2. Science and {2.,University of Electronic Science and {2. of China,Chengdu 610054.China 2.State Key {4.oratory of remote sensing Science,Jointly Sponsored by the institute of remote sensing Applications of {12. academy of Sciences and beijing Normal University,beijing 100101,China 3institute of forest resources {2. Technique of {12. academy of forestry,beijing {2.},China 4.School of Electronic Engineering,University of Electronic Science and {2. of China,Chengdu 610054.China State Key lab remote {2. Sci Beijing 100101 Peoples R China beijing Normal Univ Beijing 100101 Peoples R China Univ Elect Sci & Technol China Inst Geospatial Informat Sci & Technol Chengdu 610054 Peoples R China chinese Acad forestry Inst Forest Resources Informat Tech Beijing 100091 Peoples R China Univ Elect Sci & Technol China Sch Elect Engn Chengdu 610054 Peoples R China

It is difficult to make an inventory of vertical profiles of forest structure parameters in field ***,analysis and understanding of forest backscattering characteristics contribute to estimation and detection of forest vertical structure because of the close relationships between backscattering characteristics and structure *** vertical structure function in the complex interferometric coherence definition,which represents the vertical variation of microwave scattering with the penetration depth at a point in the 2.D radar image and can be used to analyze the forest backscattering characteristics,can be reconstructed from polarization coherence tomography(PCT).Based on PCT,the paper analyzes the forest backscattering characteristics and explores the inherent relationship between the result of PCT and the forest structure parameters from numerical simulation of Random Volume over Ground model(RVoG),Polarimetric SAR interferometry(PolInSAR)simulation of forest scene and PolInSAR data at L-band of the test site ***,the effects of the extinction coefficient and surface-to-volume scattering ratio in RVoG model on vertical backscattering characteristics are analyzed by means of numerical ***,by applying PCT to L-band POLInSAR simulations of forest scene,different variations of vertical backscattering due to different extinction coefficients and the ratios of surface-to-volume scattering resulting from different polarizations,forest types and densities are displayed and *** a concept of relative average backscattering intensity is presented,and the factors which affect its vertical distribution are also *** results show that there is high sensitivity of the vertical distribution of forest relative average backscattering intensity to the polarization,forest type and ***,based on repeat pass DLR E-SAR L-band airborne POLInSAR data,the capability of PCT technology for detection

关键词： backscattering characteristic POLInSAR PCT vertical structure function

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The quantification of remote sensing

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Science China(Technological Sciences) 2005年第S2期48卷 1-11页

作者： GU Xingfa1,2.3,TIAN Guoliang1,2. LI Xiaowen1,2.& GUO Jianning4.1. State Key laboratory of {2. sensing Science, Jointly Sponsored by the {2. of {2. sensing Applications of chinese academy of Sciences and beijing Normal University, beijing 100101, China 2. The Center for National Spaceborne Demonstration, beijing 100101, China 3. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84.14.Avignon, France 4. China Center for resource Satellite Data and Application, beijing 100830, China chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China beijing Normal Univ State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China Ctr Natl Spaceborne Demonstrat Beijing 100101 Peoples R China Inst Natl Rech Agron F-84914 Avignon France China Ctr resource Satellite Data & Applicat Beijing 100830 Peoples R China

The paper firstly defined the remote sensing {2. quantification, analyzed the necessity of developing remote sensing quantification, figured out the application guidelines requirement, and pointed out the importance of quantification research. Then taking the remote sensing application research of CBERS-02.data quantification as the example, the paper described the whole quantification system of “remotely sensed digital signal-radiation {2.-field parameter inversion”. Finally the paper gave the prospect for the development trend of the quantitative remote sensing.

关键词： remote sensing information quantification CBERS-02 radiometric calibration surface parame- ter reversion.

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Comparison of the influence factors on NDVI for CCD camera and WFI imager on CBERS-02

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Science China(Technological Sciences) 2005年第S2期48卷 100-115页

作者： YU Tao1,3, LI Xiaoying1,2.3, ZHANG Yong1,2.3, ZHAO Feng1,2.3, GU Xingfa1,3,4. ZHU Li1,2.3, WANG Pengxin5 & MIN Xiangjun6 1. State Key laboratory of {2. sensing Science {2. of {2. sensing Application, CAS, Bei- jing 100101, China 2. Graduate University of chinese academy of Sciences, beijing 100039, China 3. The Center for National Spaceborne Demonstration, beijing 100101, China 4. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84.14.Avignon, France 5. College of information and Electrical Engineering, China Agricultural University, beijing 100083, China 6. China Center for resource Satellite Data and Application, beijing 100830, China 1. State Key laboratory of remote {2. Science Institute of Remote Sensing Application CAS 100101 Beijing China 2. The Center for National Spaceborne Demonstration 100101 Beijing China 3. Graduate University of chinese academy of Sciences 100039 Beijing China 4. Institut National de la Recherche Agronomique Climat Sol Environnent 84914 Avignon France 5. College of information and Electrical Engineering China Agricultural University 100083 Beijing China 6. China Center for resource Satellite Data and Application 100830 Beijing China

CCD and WFI are payloads in the visible light and near infrared bands on CBERS satellites and they have not been applied widely, especially WFI. This article mainly probes into the potential of these two sensors’ application in the vegetation monitoring and analyses the influences of radiometric calibration, atmosphere conditions and sun-observing geometry, etc. on NDVI obtained from these two sensors respectively. In addition it analyses the effect of the spectral response difference of red and near infrared spectral bands in CCD and WFI sensors on NDVI. Results indicate that radiometric calibration is the most important factor on NDVI, which cannot be applied to vegetation monitoring without radiometric calibration. Results also demonstrate that near surface NDVI is different greatly from that of TOA which change with atmosphere conditions. The study shows that NDVI is also affected by the non-lambertian character of surface and the change of the atmospheric path with the observing geometry. And NDVI of WFI is higher than that of CCD. They are very different because of their spectral difference, but they have a good linear relevant relationship.

关键词： CCD WFI NDVI LAI.

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Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

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Science China(Technological Sciences) 2006年第z1期49卷 54-62页

作者： GU Huiyan, DAI Limin, WU Gang, XU Dong, WANG Shunzhong &WANG Hui institute of Applied Ecology, chinese {2. of Sciences, Shenyang 110016, China School of forestry, Northeast forestry University, Harbin 15004., China State Key lab of Systems Ecology, research Center for Eco-Environmental Sciences, chinese {2. of Sciences, beijing 100085, China Graduate University of chinese {2. of Sciences, beijing 100039, China 1. institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China 2. School of forestry Northeast Forestry University Harbin 150040 China 3. State Key lab of Systems Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China 4. Graduate University of chinese {2. of Sciences Beijing 100039 China

Accurate information about forest volumes is essential for forest management planning. The survey interval of the forest {4. Inventory of China (FRIC) is too long to meet the demand for timely decision-making required for forest protection, management, and utilization. Analysis of satellite imagery provides good potential for more frequent reporting of forest parameters. In this study, we describe an application of the k-nearest neighbors (kNN) method to Landsat TM imagery for improving estimation of forest volumes. Several spectral features were tested and compared in forest volume estimations, including normalized difference vegetation index, environmental vegetation index, and the combination of the spectral features. The combined index resulted in the most accurate volume estimations. The kNN estimator and the combined index were then used in forest volume estimation. The estimation error (RMSE) of the total volume was4..2., much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71.7% and 88.19%,respectively). This preliminary study demonstrates the potential of forest volume estimations with remote {14. data to provide useful information for forest management if only limited ground information is available.

关键词： forest inventory, landsat TM, k-nearest neighbors, spectral extraction.

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西藏灌木林种群分布格局

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山地学报 2011年第1期29卷 123-128页

作者：张超黄清麟普布顿珠旦增中国林业科学研究院资源信息研究所国家林业局林业遥感与信息技术重点实验室西南林业大学资源学院西藏自治区林业调查规划研究院

以西藏地区370个灌木林标准地调查数据为基础,计算了包括负二项式K值、方差/均值比率t值、丛生指标、平均拥挤指数、聚块性指标、扩散指标、格林指数和Cassic指标,定量测度了各标准地内种群的分布格局类型及集聚强度,分析了西藏灌木种... 详细信息

以西藏地区370个灌木林标准地调查数据为基础,计算了包括负二项式K值、方差/均值比率t值、丛生指标、平均拥挤指数、聚块性指标、扩散指标、格林指数和Cassic指标,定量测度了各标准地内种群的分布格局类型及集聚强度,分析了西藏灌木种群分布格局随海拔和坡度的变化特征。研究结果表明,1.西藏优势灌木种群分布格局包括集群分布和随机分布两种,其中,随机分布占60%;2.随着海拔及坡度的增加,西藏灌木种群均呈现由集群分布向随机分布变化的趋势,且大部分地区的灌木种群呈随机分布。

关键词：西藏灌木林种群分布格局

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福建省永安市西洋镇2.5a生人促阔叶林与伐前林分的对比评价

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山地学报 2010年第1期28卷 63-68页

作者：张晓红黄清麟张超中国林业科学研究院资源信息研究所国家林业局林业遥感与信息技术重点实验室西南林学院资源学院

福建省永安市西洋镇2.5a生人促阔叶林分平均胸径、树高、密度、单位面积蓄积量和平均年生长量分别为2.0cm、1.8m、19533株/hm2.7.0m3/hm2.2.80m3/(hm2.a),乔木层物种丰富度R、多样性指数SW、均匀度E和生态优势度ED分别为33、2.93、0.6... 详细信息

福建省永安市西洋镇2.5a生人促阔叶林分平均胸径、树高、密度、单位面积蓄积量和平均年生长量分别为2.0cm、1.8m、19533株/hm2.7.0m3/hm2.2.80m3/(hm2.a),乔木层物种丰富度R、多样性指数SW、均匀度E和生态优势度ED分别为33、2.93、0.62.0.2.,林分相对直径分布范围0.2.～3.00,直径分布为反J型,表现为异龄林特征。35a生的伐前林分平均胸径、树高、密度、单位面积蓄积量和平均年生长量分别为13.6cm、10.5m、1185株/hm2.101.3m3/hm2.2.89m3/(hm2.a),乔木层物种丰富度R、多样性指数SW、均匀度E和生态优势度ED分别为2.0}3.72.0.81和0.10,林分相对直径分布范围0.4.～2.50,直径分布为反J型,表现为异龄林特征。

关键词：人促阔叶林伐前林分对比评价福建省永安市

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research on Extracting forest Stand {2. based on 3D Laser Scanner Techniques

Research on Extracting Forest Stand Information based on 3D ...

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2.12.IEEE International Conference on Computer Science and Automation Engineering（CSAE 2.12.

作者： LU Kangning 1 ZHANG Huaiqing 2.GAO Shizeng 3 JIANG Xian 4.research {2. of {2.ry resource {4. Techniques chinese academy of {2.ry beijing China WU Xueming 1 ZHANG Ning 2.KUANG Yilong 3 research Center of {2.ry {12. sensing & {4. Engineering Central South University of {2.ry & technology Changsha Hu’nan China

The development of laser scanning technology provides a new way to make people obtain spatial information from the traditional manual to *** this study,we take the FARO Laser Scanner Photon as the data obtained platform,we scanned a 10 m×15 m plot,total 2. trees in Pinus bungeana ***,extract every tree’s data from the point cloud and measure the tree height and diameter at breast height（DBH）.After make accuracy precision and correlation analysis with the measured data,it is showed that the method mentioned can be satisfied the accuracy requirement of {2. investigation and can be used to measure the tree height and *** with traditional technology,the applications of 3D laser scanning technique have a broad development space on tree measuring.

关键词： Stand Laser Scanner Point Clouds Accuracy Precision

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El Nino And forest Fire In Yunnan Province, Southwest China -New Way to Study Three Essential Factors of forest Fire

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chinese forestry Science and {2. 2003年第1期2卷 16-23页

作者： ZHAOXianwen SI Linresearch institute of {2. information Techniques. {4. academy of forestry.Wan Shou Shan. beijing 100091. Chinazhaoxw @ info.forestry. ac. en

Three essential factors of forest fire (fire source, environment, and litter) were taken as the point of view, and has approached the forecast method of forest fire in tropical area of southwest China in a macroscopic scale. This study supported by mathematical method was from a new angle. For example, in the aspect of forest fire forecast, it has been thought over that most forest fire is artificial fire, which has lots of randomness. So it could be studied in a kind of Markov random processes. In the ...

关键词： EL Nino forest fire remote sensing Markov litter

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