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Cotton pixel identification with CBERS-02 CCD data based on spectral knowledge

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science china(Technological sciences) 2005年第S2期48卷 129-144页

作者： LI Jing1,2,3, LIU Qinhuo1,3, LIU Qiang1, CHEN Liangfu1, BO Junhua3 & LI Shaokun3 1. State key laboratory of remote sensing {4., IRSA, chinese academy of {4.s, beijing 100101, china 2. Graduate University of chinese academy of {4.s, beijing 10004., china 3. The key Oasis Eco-agriculture laboratory of Xinjiang Production and Construction Corps, Shi Hezi 832000, china 1. State key laboratory of remote sensing {4. IRSA Chinese Academy of Sciences 100101 Beijing China 2. Graduate University of chinese academy of sciences 100049 Beijing China 3. The key Oasis Eco-agriculture laboratory of Xinjiang Production and Construction Corps 832000 Shi Hezi China

In this paper the in-situ experiment data are collected from the Spectral Library to estimate the possible values of the primary structural parameters in each cotton growing season by statistics. Based on these values the spectra of the cotton major growing seasons were simulated and analyzed using the canopy reflectance model, SAILH. In this way we also simulated the cotton pixel spectra corresponding to CBERS-02 CCD and took them as the reference spectra for spectra fitting. Then No.14. Regiment of No.8 Agricultural Division of Xinjiang Production and Construction Corps (XPCC) was chosen as the study area, and two spectra fitting methods, Mahalanobis distance and spectra angle, were used to identify cotton pixel from CBERS-02 CCD image of the study area. At last we analyzed the effect of the calibration coefficients error on cotton identifying. The results showed that within 4. error the spectral angle classifier can still have a good performance.

关键词： CBERS-02 cotton pixel identification spectra fitting.

ON IMPROVEMENT OF BARE SURFACE SOIL MOISTURE ESTIMATION WITH L-BAND DUAL-POLARIZATION RADAR

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ON IMPROVEMENT OF BARE SURFACE SOIL MOISTURE ESTIMATION WITH...

Co-seismic ground deformation and source parameters of Mani M7.9 earthquake inferred from spaceborne D-InSAR observation data

遥感定量反演算法研讨会

作者： Jiancheng Sh (State key laboratory of remote sensing {4., institute of remote sensing applications, beijing, china)

The capability to predict global water- and energy-cycle consequences of Earth-system variability and change is one of the key issues in the Earth-system science study. It requires the improved capability to monitor spatial and temporal distributed soil moisture accurately. On the capability of the instruments side, the available active microwave sensors, such as ASAR on ENVISAT, RADARSAT, and PALSAR on ALOS, do not provide the capability to monitor global soil moisture information at the temporal scale required in the atmospheric and hydrologic models. The passive microwave sensor AMSR-E on the EOS-Aqua has the high temporal resolution, but its capability is limited to low vegetation and very shallow surface layer. SMAP, with both active and passive L-band microwave instruments, will provide a significantly improved capability of monitoring soil moisture at the spatial and temporal sampling scales required by modeling and prediction of representing soil moisture related processes in the atmospheric and hydrologic models.

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science china Earth sciences 2004年第6期47卷 481-488页

作者： SHAN Xinjian1,MA Jin1,WANG Changlin2,LIU Jiahang1,SONG Xiaoyu1 & ZHANG Guifang1 1.institute of Geology and laboratory of Tectonophysics,china Seismological Bureau,beijing 100029,china 2.institute of remote sensing Application,chinese academy of sciences,beijing 100101,china 1. institute of Geology and laboratory of Tectonophysics China Seismological Bureau 100029 Beijing China 2. institute of remote sensing Application Chinese Academy of Sciences 100101 Beijing China

We obtain the co-seismic ground deformation field of the Mani M7.9 earthquake on November 8, 1997 through three-pass differential interferometric processing. Then we get the geometric and kinematics parameters of this event by the elastic half-space model and forward modeling with the InSAR data. The following results have been obtained: (i) The deformation fields on both sides of the seismogenic fault are affected by the co-seismic deformation field even in 110 km away from the fault. The loss of phase coherence belt caused by the zone of ground rupture crosses the image from east to west with a length of an area 110 km. (ii) The maximum horizontal displacement caused by the earthquake reaches 7.96 m. (iii) The earthquake fault can be divided into four parts, and the deformation field of the middle two parts is bigger than that of the other two, with lengths of 27 km and 37 km, respectively. And their average sliding values on the rupture surface are 6500 mm and 6000 mm, respectively, and their depths both are 35 km. The segment of 27 km length is the major rupture surface of this earthquake. The west part and the east part of the fault have lengths of 23 km and 26 km, respectively. The sliding value of the west one is 4.00 mm and that of the east one is 5800 mm. They extend to depths of 20 km and 18 km, respectively.

关键词： D-InSAR, surface deformation field in sight direction, Mani earthquake, characteristics of earthquake fault.

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 remote sensing {4. institute of remote sensing Application, CAS, Bei- jing 100101, china 2. Graduate University of chinese academy of {4.s, 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 sensing {4. 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.

Image City sharing platform and its typical applications

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science china(Information sciences) 2011年第8期54卷 1738-1746页

作者： SHAO ZhenFeng & Li DeRen State key laboratory for Information Engineering in Surveying,Mapping and remote sensing,Wuhan University,Wuhan 4.0079,{4. 1. State key laboratory for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China

In this paper,the trend of urban spatial information sharing service from the electronic map to image is analyzed and its sharing framework based on service-oriented architecture is ***,the service implementation,feedback data service procedure and its processing service model are explored. Based on the software with independent intellectual property rights,image city of Taizhou is developed as an example to realize various image data and processing servicesLastly,the bright future prospects of image city are described.

关键词： Image City service-oriented architecture image data service function service model service

Multi-resolution representation of digital terrain models with terrain features preservation

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science china(Technological sciences) 2008年第S1期51卷 145-154页

作者： LI QingQuan1,WANG Zhi1,2 & YANG BiSheng1 1 State key laboratory of Information Engineering in Surveying,Mapping and remote sensing,Wuhan University,Wuhan 4.0079,{4. 2 School of remote sensing and Information Engineering,Wuhan University,Wuhan 4.0079,{4. 1. State key laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China2. School of Remote Sensing and Information Engineering Wuhan University Wuhan 430079 China

multi-resolution TIN model is an important issue in the contexts of visu-alization,virtual reality (VR),and geographic information systems (GIS). This paper proposes a new method for constructing multi-resolution TIN models with multi-scale topographic features preservation. The proposed method is driven by a half-edge collapse operation in a greedy framework and employs a new quadric error metric to efficiently measure geometric errors. We define topographic features in a multi-scale manner using a center-surround operator on Gaussian-weighted mean curvatures. Experimental results demonstrate that the proposed method performs better than previous methods in terms of topographic features preservation,and is able to achieve multi-resolution TIN models with a higher accuracy.

关键词： digital terrain models level of detail differential-geometry quadric error metrics topographic feature

A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of china Using EO-1 Hyperion Data

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Pedosphere 2010年第3期20卷 378-388页

作者： WENG Yong-Ling GONG Peng ZHU Zhi-Liang Department of Surveying and Mapping Engineering College of Transportation Southeast University Nanjing 210096(China) State key laboratory of remote sensing {4. Institute of Remote Sensing Applications of the Chinese Academy ofSciences and Beijing Normal University Beijing 100101 (China) Department of Environment science Policy and Management University of California Berkeley CA 94720 (USA) EROS Data Center U.S. Geological Survey Sioux Falls SD 57198 (USA)

Soil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow River Delta region of china were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (SSI) was constructed from continuum-removed reflectance (CR-reflectance) at 2052 and 2203 nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r = 0.91) between the SSI and soil salt content (SSC). Then, a model for estimation of SSC with SSI was established using univariate regression and validation of the model yielded a root mean square error (RMSE) of 0.986 and an R2 of 0.873. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with RMSE = 1.921 and R2 = 0.627. These suggested that the satellite hyperspectral data had the potential for predicting SSC in a large area.

关键词： hyperspectral reflectance soil salt content spectral absorption features

Investigation of fine and complex vortex circulation structures

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science china Earth sciences 2010年第10期53卷 1552-1558页

作者： LUO ZheXian1,MA GeLan1 & PING Fan2 1 remote sensing College,Nanjing University of Information science and Technology,Nanjing 21004.,china 2 {4. of Cloud-Precipitation Physics and Severe Storms(LACS),institute of Atmospheric Physics,chinese academy of sciences,beijing 100029,china 1. remote sensing College Nanjing University of Information Science and Technology Nanjing 210044 China2. Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China

The formation and evolution of fine and complicated vortex circulation structures were investigated using a two-dimensional quasi-geostrophic barotropic model *** find that the highly localized asymmetric and complex configuration of energy transfer flux between large-and small-scale components is caused by the nonlinear interaction between a large-scale vortex with an initial axi-symmetric flow and four beta meso-scale *** complex structure is characterized by a fine pattern,which contains seven closed systems with spatial scales of less than 100 km,embedded in a positive flux wave train and a negative wave train,*** average wind speed decreased with time in the positive flux region,but was nearly unchanged in the negative flux *** pattern reveals the evolutionary asymmetry and localization of wind speed of the major *** track of the major vortex center has a trend toward the center of the negative flux center,indicating that there is a certain relation between the complex structure of the energy transfer flux and the motion of the major vortex *** results imply that the formation and evolution of the fine and complex structure should be attributed to the nonlinear interaction between the vortices at different spatial scales.

关键词： vortex complex structure non-linear interaction energy cascade

Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1 CCD data in Mu Us Sandland

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science china Earth sciences 2010年第S1期53卷 26-33页

作者： CHEN Wei1,2,CAO ChunXiang1,HE QiSheng1,2,GUO HuaDong3,ZHANG Hao1,2,LI RenQiang4.ZHENG Sheng1,2,XU Min1,2,GAO MengXu1,2,ZHAO Jian1,2,LI Sha1,NI XiLiang1,2,JIA HuiCong1,JI Wei1,TIAN Rong1,2,LIU Cheng1,2,ZHAO YuXing5 & LI JingLu6 1 State key laboratory of remote sensing {4.,Jointly Sponsored by the institute of remote sensing applications of chinese academy of {4.s and beijing Normal University,beijing 100101,china 2 Graduate University of chinese academy of {4.s,beijing 10004.,china 3 Center for Earth Observation and Digital Earth,chinese academy of {4.s,beijing 100190,china 4.23} key laboratory of Ecological Network Observation and Modeling,institute of Geographical {4.s and Natural Resources Research,chinese academy of {4.s,beijing 100101,china 5 Ordos Forestry Sand Control {4. institute,Dongsheng 017000,china 6 Inner Mongolia Biomass Thermoelectricity Limited Company,Wushen 017300,china 1. State key laboratory of remote sensing {4. Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China 2. Graduate University of chinese academy of sciences Beijing 100049 China 3. Center for Earth Observation and Digital Earth Chinese Academy of Sciences Beijing 100190 China 4. china key laboratory of Ecological Network Observation and Modeling Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China 5. Ordos Forestry Sand Control science institute Dongsheng 017000 China 6. Inner Mongolia Biomass Thermoelectricity Limited Company Wushen 017300 China

The leaf area index(LAI) is an important ecological parameter that characterizes the interface between vegetation canopy and the *** addition,it is used by most process-oriented ecosystem *** paper investigates the potential of HJ-1 CCD data combined with linear spectral unmixing and an inverted geometric-optical model for the retrieval of the shrub LAI in Wushen Banner of Inner Mongolia in the Mu Us ***(Moderate Resolution Atmospheric Radiance and Transmittance Model) was used for atmospheric *** was extracted using the threshold of the normalized difference vegetation index,with which water bodies and farmland were separated,in combination with a vegetation map of the People's Republic of china(1:1000000).Using the geometric-optical model,we derive the per-pixel reflectance as a simple linear combination of two components,namely sunlit background and *** fraction of sunlit background is related to the shrub *** the support of HJ-1 CCD data,we employ linear spectral unmixing to obtain the fraction of sunlit background in an atmospherically corrected HJ *** addition,we use the measured shrub canopy structural parameters for shrub communities to invert the geometric-optical model and retrieve the pixel-based shrub *** total,18 sample plots collected in Wushen Banner of Inner Mongolia are used for *** results of the shrub LAI show good agreement with R2 of 0.817 and a root-mean-squared error of 0.173.

关键词： shrub leaf area index inversion HJ-1 data geometric-optical model MODTRAN Mu Us Sandland