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Estimating surface evapotranspiration using combined MODIS and CBERS-02 data

science china(Technological sciences) 2005年第S2期48卷 145-160页

作者： XIN Xiaozhou1,2, LIU Qinhuo1, TAng Yong1,3, TIAN Guoliang1, GU Xingfa1, LI Xiaowen1,2, ZHEng Hongsheng4 & CHEN Jiayi4 1. state key laboratory of remote sensing science, Institute of remote sensing Applications, Chinese Academy of sciences, beij.ng 100101, china 2. Research Center for remote sensing and GIS, Department of Geography, beij.ng Normal University, beij.ng 100875, china 3. Graduate University of Chinese Academy of sciences, beij.ng 100039, china 4. Department of Atmospheric Physics, Peking University, beij.ng 100871, china 1. state key laboratory of remote sensing science Institute of Remote Sensing Applications Chinese Academy of Sciences 100101 Beijing China2. Research Center for Remote Sensing and GIS Department of Geography Beijing Normal University 100875 Beijing China3. Graduate University of Chinese Academy of Sciences 100039 Beijing China4. Department of Atmospheric Physics Peking University 100871 Beijing China

Spatial scale error is one of the most serious problems in the estimates of land surface heat fluxes of sensible and latent from satellite-borne data such as MODIS 1km resolution reflectance and emissive data. One of the feasible and economic ways to decrease the spatial scale error is to use high resolution land use class data together with the MODIS data. CBERS-02 data were used to produce land use class of Baiyangdian area, Hebei Province, china in the autumn of 2004. The area ratio of each class in MODIS pixel was calculated, and used to derive the heat fluxes of the mixed pixel. The results showed that the estimated heat fluxes of soil, sensible and latent have been changed remarkably after using the high resolution land class data. It could be concluded from the comparison between simulated and ground-measured fluxes as well as the theoretical analysis that high resolution land class data are useful to diminishing the scale error of heat fluxes estimated from low resolution satellite data.

关键词： surface evapotranspiration spatial scale error MODIS CBERS land class.

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A study on correlativity between Qinghai-Tibet Plateau thermal infrared remote sensing data and underground temperature

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science china(Technological sciences) 2006年第z2期49卷 114-120页

作者： HAN Liqun, BI Siwen & SOng Shixin School of Information Engineering, beij.ng Technology and Business University, beij.ng 100037, china key laboratory of remote sensing Information sciences, Institute of remote sensing Applications, Chinese Academy of sciences, beij.ng 100101, china beij.ng Technol & Business Univ Sch Informat Engn Beijing 100037 Peoples R China Chinese Acad Sci Inst Remote Sensing Applicat Key Lab Remote Sensing Informat Sci Beijing 100101 Peoples R China

Based on an analysis of the correlativity between Qinghai-Tibet Plateau thermal infrared remote sensing data (QPTIRSD) and underground temperature field distribution, the main factors which obviously influence underground-layer temperatures were derived. Using neural network technology, a model was built to compute underground temperatures via parameters out of the inversion of thermal infrared remote sensing (TIRS) and then analyze the correlativity between above-ground parameters and underground temperatures. This method offers a new way to apply TIRS in monitoring the suture zone of a large-area massif as well as to research structural thermal anomalies.

关键词： Qinghai-Tibet Plateau, TIRS, artificial neural network, temperature.

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Atmospheric correction of HJ-1A/B CCD images over Chinese coastal waters using MODIS-Terra aerosol data

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science china(Technological sciences) 2010年第S1期53卷 191-195页

作者： TIAN LiQiao 1,LU JianZhong 1,CHEN XiaoLing 1,2,3,YU ZhiFeng 1,XIAO JingJing 1,QIU Feng 1 & ZHAO Xi 1 1 state key laboratory of Information Engineering in Surveying,Mapping and remote sensing,Wuhan University,Wuhan 430079,china 2key laboratory of Poyang Lake Wetland and Watershed Research,Ministry of Education,Jiangxi Normal University,Nanchang 330022,china 3 The key laboratory of Poyang Lake Environment and Resource Utilization,Ministry of Education,Nanchang University,Nanchang 330031,china 1. state key laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China 2. key laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education Jiangxi Normal University Nanchang 330022 China 3. The key laboratory of Poyang Lake Environment and Resource Utilization Ministry of Education Nanchang University Nanchang 330031 China

This paper demonstrates an atmospheric correction method to process HJ-1A/B CCD images over Chinese coastal waters with the aid of MODIS-Terra aerosol *** on the assumption of zero water-leaving radiance at the two near-infrared (NIR)bands or the shortwave infrared(SWIR)bands,the atmospheric aerosol optical depth(AOD)is firstly retrieved from MODIS-Terra with a simple extension of the NIR-SWIR combined atmospheric correction approach embedded in SeaDAS (SeaWiFS data analysis system).Then the"turbid"and"non-turbid"waters are separated by the turbid water *** probability of AOD at 551 nm band is derived based on the NIR information over"non-turbid"waters and FLAASH model is selected to do the atmospheric correction of the HJ-1A/B CCD imagery using the AOD values of highest probabilities as ***,according to the histogram of the AOD distribution at 551 nm band,the studied turbid water area is divided into several blocks and HJ-1A/B CCD imagery is corrected with the corresponding AOD values displayed with the highest frequency in each *** method has been applied to several HJ-1A/B images over Chinese coastal waters and validated by synchronous in-situ *** results have shown that this method is effective in the atmospheric correction process of HJ-1A/B CCD images for ocean color remote sensing study and application in the coastal waters.

关键词： ocean color remote sensing atmospheric correction turbid coastal waters HJ-1A/B MODIS

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Gradient analysis of landscape spatial and temporal pattern changes in beij.ng metropolitan area

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science china(Technological sciences) 2010年第S1期53卷 91-98页

作者： YAng YeTao1,ZHOU QiMing2,GOng JianYa3 & WAng YingYing4 1 Institute of Geophysics and Geomatics,china University of Geosciences,Wuhan 430074,china 2 Department of Geography,Hong Kong Baptist University,Hong Kong 3 state key laboratory of Information Engineering in Surveying,Mapping and remote sensing,Wuhan University,Wuhan 430074,china 4 Hubei Provincial Bureau of Meteorology,Wuhan 430074,china 1. Institute of Geophysics and Geomatics China University of Geosciences Wuhan 430074 China2. Department of Geography Hong Kong Baptist University Hong Kong China3. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430074 China4. Hubei Provincial Bureau of Meteorology Wuhan 430074 China

The gradient based landscape metrics analysis is now widely used to study the landscape pattern changes in respond to the *** order to discover the trend of spatio-temporal changes in beij.ng metropolitan area during the past 15 years,several landscape metrics are computed using a moving window along a 96 km long transect across beij.ng metropolitan area from west to ***,the spatial extent of sub-landscape,which is determined by the moving window’s size,is profoundly *** results show that the metrics varies smoothly and regularly along the selected transect when the window size is greater than 6 km×6 km,and irregularly fluctuated for the smaller window size,that the spatial and temporal landscape characteristics of beij.ng city match the hypothetical framework of spatio-temporal urban sprawl in the form of alternating processes of diffusion and coalescence well,and that some new trends of the urban sprawl style in beij.ng metropolitan area,such as leap-frog manner,are also detected by the gradient landscape analysis.

关键词： gradient analysis landscape metrics spatio-temporal urban expansion multi-extent

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Object registration for remote sensing images using robust kernel pattern vectors

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science china(Information sciences) 2012年第11期55卷 2611-2623页

作者： DIng MingTao1,JIN Zi2,TIAN Zheng1,3,DUAN XiFa1,ZHAO Wei1 & YAng LiJuan1 1Department of Applied Mathematics,Northwest Polytechnical University,Xi'an 710072,china 2Department of Statistics,University of British Columbia,3333-6356 Agricultural Road,Vancouver,BC V677 1Z2,Canada 3state key laboratory of remote sensing science,Institute of remote sensing Applications,Chinese Academy of sciences,Bejing 100101,china 1. Department of Applied Mathematics Northwest Polytechnical University Xi’an 710072 China2. Department of Statistics University of British Columbia 3333-6356 Agricultural Road Vancouver BC V677 1Z2 Canada3. State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences Bejing 100101 China

The registration of multitemperal remote sensing images before and after a disaster is a challenging *** main reason is that there is a dearth of homologous features that can be used as tie points for registration of variform *** paper proposes a new registration method based on robust kernel pattern vector(KPV) for water objects in the remote sensing images,which have complex deformation before and after a *** show how the variform objects can be precisely registered using their robust kernel pattern vectors(RKPVs).The contribution can be divided into three ***,a novel shape descriptor,named as kernel pattern vector(KPV),is ***,a robust kernel principal component analysis(RKPCA) method is proposed,which can not only capture the common pattern of the variform objects but can also act as the Criterion for outlier ***,a registration approach is derived based on the implicit *** demonstrate the power of the proposed approach by comparing it with other existing methods using two real cases:one for lake monitoring in the Jiayu region,and the other for damage mapping of earthquake-induced barrier lake at Tangjiashan(2008 Wenchuan Earthquake).The results show that the method is effective in capturing the common structural pattern of the variform objects before and after a disaster.

关键词： remote sensing image object registration robust kernel pattern vectors(RKPVs) variform object outlier data effective

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Analysis of sea surface temperature fronts in the Taiwan Strait and its adjacent area using an advanced edge detection method

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science china Earth sciences 2010年第7期53卷 1008-1016页

作者： PI QingLing1,2,3 & HU JianYu1,2 1 state key laboratory of Marine Environmental science, Xiamen University, Xiamen 361005, china 2 Department of Oceanography, Xiamen University, Xiamen 361005, china 3 china Communications Construction Company First Harbor Consultants CO., LTD., Tianjin 300222, china 1. state key laboratory of Marine Environmental science Xiamen University Xiamen 361005 China2. Department of Oceanography Xiamen University Xiamen 361005 China3. China Communications Construction Company First Harbor Consultants CO. LTD. Tianjin 300222 China

A morphology-based edge detection method has been used to study sea surface temperature (SST) fronts in the Taiwan Strait and its adjacent area. The method is based on mathematical morphology with multi-dimensional and multi-structural elements. Using six years’ SST data from September 2002 to August 2008, we distinguished the large SST front like Kuroshio Front as well as the smaller ones: namely Taiwan Bank Front, Zhe-Min Coastal Front and Zhang-Yun Ridge Front. The seasonal and monthly variations of these fronts were also studied. Generally, the SST fronts are stronger in winter but weaker in summer. And the fronts are at their active stage during the period from January to May but at their declining stage during the period from July to October.

关键词： SST front remote sensing edge detection Taiwan Strait Kuroshio

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Optimal MAC based cooperative spectrum sensing in cognitive radio networks

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science china(Information sciences) 2012年第6期55卷 1388-1396页

作者： CHEN Zhong 1,ZHAng XianDa 1 & YAng LanJuan 2 1 state key laboratory of Intelligent Technology and Systems,Tsinghua National laboratory for Information science and Technology,Department of Automation,Tsinghua University,beij.ng 100084,china 2 Institute of Command Automation,PLA University of science and Technology,Nanjing 210007,china 1. state key laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Automation Tsinghua University Beijing 100084 China2. Institute of Command Automation PLA University of Science and Technology Nanjing 210007 China

This paper considers a cognitive radio (CR) system in non-ideal fading wireless channels and pro-poses cooperative spectrum sensing schemes based on coherent multiple access channels (MAC),serving as an alternative way to improve the cooperative spectrum sensing performance and provide space diversity for spec-trum *** statistics are transmitted using a common channel from the secondary users (SUs) to a fusion center (FC) where the global decision is *** optimal scaling factors of the proposed schemes are obtained by maximizing the detection probability under a target false alarm probability and a transmit power *** the proposed optimal MAC scheme has high computational complexity,a sub-optimal solu-tion based on maximization of the deflection coefficient (DC) is also *** results show that the proposed algorithms can significantly improve the spectrum sensing performance and approach the detection baseline.

关键词： cognitive radio (CR) spectrum sensing multiple access channel (MAC) deflection coefficient optimization

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A suspended sediment satellite sensing algorithm based on gradient transiting from water-leaving to satellite-detected reflectance spectrum

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Chinese science Bulletin 2000年第10期45卷 925-931页

作者： LI Yan & LI Jing1. Second Institute of Oceanography, state Oceanic Administration, Hangzhou 310012, china 2. Institute of remote sensing Technology and Application, Peking University, beij.ng 100871, china Second Institute of Oceanography State Oceanic Administration Hangzhou China Institute of remote sensing Technology and Application Peking University Beijing China

In order to remove the fluctuating atmospheric effects from the Case 2 water, an algorithm for retrieval of suspended sediment concentration from NOAA weather satellite imagery was developed under a new approach. This model is based on the linear response from water-leaving to satellite-detected reflectance spectra, simply reflected by the gradient for correlation curve between reflectance of the advanced very high resolution radiometer (AVHRR) channels 1 (R1, 580-680 nm) and 2 (R2, 720-1 100 nm). Proportional factor for this gradient transiting, mathematically represented as (td2/td1) (toz2/toz1), depends on a ratio of atmospheric transmittance for such two channels, including ozone and diffuse transmittance. As a simple but efficient algorithm of gradient, the algorithm of αR1-R2 is selected to retrieve gradient a and then sea surface suspendend sediment concentration.

关键词： marine remote sensing suspended sediment atmospheric effect removal gradient transit AVHRR.

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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 remote sensing science, Jointly Sponsored by the Institute of remote sensing Applications of Chinese Academy of sciences and beij.ng Normal University, beij.ng 100101, china 2. The Center for National Spaceborne Demonstration, beij.ng 100101, china 3. Institut National de la Recherche Agronomique, Climat Sol Environnement, 84914 Avignon, France 4. china Center for Resource Satellite Data and Application, beij.ng 100830, china Chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China beij.ng 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 information 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 information-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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Investigation of Image Fusion Between High-Resolution Image and Multi-spectral Image

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Geo-Spatial Information science 2003年第2期6卷 31-34页

作者： LI Pingxiang WAng ZhijunLI Pingxiang, professor, state key laboratory of Information Engineering in Surveying, Mapping and remote sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, china. state key laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University

On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, china. The experimental results show that a perfect image fusion can be built up by using the image analytical solution and re-construction in the image frequency domain based on the physical characteristics of the image formation. The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image.

关键词： image fusion remote sensing wavelet transform signal sampling

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