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Study on the relative radiometric correction of cbers satellite CCD image

Science China(Technological Sciences) 2005年第S2期48卷 12-28页

作者： GUO Jianning, YU Jin, ZENG Yong, XU Jianyan, PAN Zhiqiang & HOU Minghui China Center for Resource Satellite Data and Application, Beijing 100830, China China Center for Resource Satellite Data and Application Beijing China

The main payload on cbers-01/02 of China-Brazil Earth Resources Satellite (cbers) is a push-broom CCD camera with moderate spatial and radiant resolution. Because at lab the data for calibration at satellite assembly stage were unable to be collected, and also because the onboard calibrator after launch was in a different state from imaging, the calibration of CCD image got a series of difficulties involved. In practice, two methods are used in the processing on the ground station: One is extracting calibration data by statistics from the image itself, and the other is the method of histogram match. It was proved that the latter can calibrate the image much better, because it can remove the effect of unstable response of the camera largely and also can overcome the nonlinearity of the camera basically by using Look-Up Table (LUT) calculated from histogram statistics of different temporal images. Considering the problems of cbers-01, a lot of calibration tests were done before the launch of cbers-02, in which a set of lab coefficients for relative calibration was formulated after the data collection by using integration-hemisphere in the stage of satellite assembly test. During the on-orbit test, it was found that the calibration result from such coefficients was not satisfying, especially there being response difference between 3 detector arrays, which was attributed to the unstable dark currents of the CCD camera. This paper comes up with a statistic method to remove such response difference. In this method the middle detector array was used as reference to find the response differences of adjacent similar features between these arrays and it was proved to have a broad adaptability.

关键词： cbers satellite CCD camera relative radiometric calibration relative radiometric correction assembly test.

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Estimating surface evapotranspiration using combined MODIS and cbers-02 data

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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, Beijing 100101, China 2. Research Center for Remote Sensing and GIS, Department of Geography, Beijing Normal University, Beijing 100875, China 3. Graduate University of Chinese Academy of Sciences, Beijing 100039, China 4. Department of Atmospheric Physics, Peking University, Beijing 100871, China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing China Research Center for Remote Sensing and GIS Department of Geography Beijing Normal University Beijing China Graduate University of Chinese Academy of Sciences Beijing China Department of Atmospheric Physics Peking University 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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Extraction of vegetation fraction information from cbers images based on VBSI vegetation index in Kaixian county

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中国有色金属学会会刊：英文版 2011年第S3期21卷 712-716页

作者： GAO Zhi-fang1, NIU Hai-peng1, LIU Jin-ping2 1. College of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China 2. College of Geographic Sciences, Chongqing Normal University, Chongqing 400047, China College of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo 454000 China College of Geographic Sciences Chongqing Normal University Chongqing 400047 China

Based on the mixed pixel model, the vegetation fraction of Kaixian county, China, was extracted with three free cbers images. VBSI vegetation index suitable for cbers images constructed with FCD (forest canopy density) model principle was put forward by ITTO (International Tropical Timber Organization) was used, considering the underestimation of vegetation fraction using NDVI in low mountain-hill region influenced by soils and shadows. And vegetation fraction was divided into five categories from low to high in order to study the special variation of vegetation cover. The results show that the vegetation cover of the region is overall good, with an average of 50%. The area of vegetation fraction below 30% accounts for 11.7% of the entire studied area, mainly concentrates in central eastern Kaixian county, where is the major development zone of cities and towns; that between 30% and 60% accounts for 62%; and that higher than 60% accounts for 26%, and mostly locates in northern middle-mountain area.

关键词： VBSI vegetation index mixed pixel model FCD model cbers

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Atmospheric correction of cbers CCD images with MODIS data

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Science China(Technological Sciences) 2006年第Z2期49卷 149-158页

作者： LI Junsheng ZHANG Bing CHEN Zhengchao SHEN Qian State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal UniversityBeijing 100101China

China Brazil Earth Resource Satellite(cbers)CCD images have much potential for inland water environmental ***,their atmospheric accuracy correction can affect their quantitative *** paper contains an atmospheric correction algorithm for cbers CCD images with MODIS data from the same day,the use of which improves the atmospheric correction algorithm of ocean color remote sensing developed by Gordon(1993,1994)and makes it applicable to inland *** improved algorithm retrieves atmospheric parameters from MODIS data and uses them to perform the atmospheric correction of cbers CCD *** results show that the atmospheric correction algorithm of cbers CCD images assisted by MODIS data is ***,MODIS data can be freely obtained on a daily basis,making the algorithm developed in this paper useful for environmental monitoring of inland waters.

关键词： cbers MODIS atmospheric correction inland waters aerosol.

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Study on Method of Removing Stripe Noise in cbers-02 Image

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Meteorological and Environmental Research 2010年第1期1卷 42-45页

作者：王文英周伟袁春刘顺喜周连芳杨红磊中国地质大学(北京)土地科学技术学院北京100083 土地勘测规划院北京100035

Based on the project of land macroscopical monitoring by cbers,a remote sensing image of Arongqi in Inner Mongolia was studied by different methods such as histogram matching,principal component analysis,moment matching,low-pass filter and wavelet transform.A qualitative analysis and quantitative assessment was also carried *** results showed that wavelet transform could effectively remove stripe noise,and also kept its advantages in the *** matching had a better strip removal,but it changed features in its spectrum easily and it was not fit for cbers-02 image *** component analysis could not remove stripe noise,but also strengthened it in a certain extent.

关键词： cbers Stripe noise Stripe removing Moment matching Wavelet transform China

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基于cbers和MODIS数据的草地资源监测评价研究

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草业科学 2009年第8期26卷 24-33页

作者：肖继东石玉李聪纪良新疆生态环境遥感中心新疆乌鲁木齐830002 新疆大学绿洲生态教育部重点实验室新疆乌鲁木齐830046 新疆师范大学生命与环境科学学院新疆乌鲁木齐830053 新疆气象信息中心新疆乌鲁木齐830002

在编制《草地资源遥感调查大纲》、《草地资源区划界定操作细则》、《草地资源区划界定图形数据及制图要求》等系列规范、细则,以及包括基础地理信息、草地资源信息等多个方面的综合调查分类指标体系及数据字典的基础上,研究和探索了一... 详细信息

在编制《草地资源遥感调查大纲》、《草地资源区划界定操作细则》、《草地资源区划界定图形数据及制图要求》等系列规范、细则,以及包括基础地理信息、草地资源信息等多个方面的综合调查分类指标体系及数据字典的基础上,研究和探索了一整套利用cbers数据建立草地资源遥感解译标志,采用人机交互的方式在GIS软件中对草地资源类型图进行更新,并以cbers数据更新后的草地资源专业图件作为背景,应用EOS/MODIS数据实现草地植被的遥感动态监测与评价。

关键词： cbers MODIS 草地资源植被指数遥感解译标志

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China and Brazil to Continue Cooperation in cbers

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Aerospace China 2004年第3期5卷 14-15页

作者： Xu Yansong

With the roaring of the Long March 4 on the morning of October 21 2003, the cbers-02 was placed into the predetermined orbit and so far two satellites have been launched under the joint effort of two largest developin... 详细信息

关键词： cbers 长征4型运载火箭中国巴西技术合作科研开发

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CRESDA and cbers Program

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Aerospace China 2012年第3期13卷 20-22页

作者： Wu Min China Centre for Resources Satellite Data and Application China Centre for Resources Satellite Data and Application

China Centre for Resources Satellite Data and Application (CRESDA) was founded on October 5,1991. According to the country's strategy of developing land observation satellite, CRESDA has built a large ground system in... 详细信息

关键词： cbers CRESDA and cbers Program data

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cbers CCD影像在云南高原地区的应用

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测绘科学 2010年第S1期35卷 152-154页

作者：彭梅陈文敏王少辉云南省基础地理信息中心昆明650034

随着遥感技术日新月异的发展,cbers CCD影像在各个领域的应用已经越来越广泛。本文主要阐述cbers CCD影像在云南高原地区的应用,包括基础数据更新、专题图制作、影像库的建立等诸多方面。

关键词： cbers CCD影像数据更新专题图制作影像库建立

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基于cbers影像的土地覆盖动态监测方法研究

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林业科学研究 2008年第Z1期21卷 80-84页

作者：周翔林辉薛晓坡中南林业科技大学林业遥感信息工程研究中心湖南长沙410004

准确地从遥感影像通过分类方法获取土地覆盖信息是一项基础性的重要课题。在建立土地覆盖分类体系的基础上,对株洲市1999年、2003年和2007年3个时相cbers星CCD数据进行监督分类,提取土地覆盖信息,并分析其动态变化过程。结果表明:在我... 详细信息

准确地从遥感影像通过分类方法获取土地覆盖信息是一项基础性的重要课题。在建立土地覆盖分类体系的基础上,对株洲市1999年、2003年和2007年3个时相cbers星CCD数据进行监督分类,提取土地覆盖信息,并分析其动态变化过程。结果表明:在我国中部丘陵地区,利用多时相cbers星CCD数据开展土地覆盖变化遥感动态监测取得了较理想的效果;1999年至2007年间,株洲市林地、水体和城镇居民点面积所占比重逐渐提高,林地和城镇居民点面积增幅较大,增速呈放缓趋势,从而造成农用地和其他土地面积减少,这可为株洲市合理利用土地资源和地区可持续发展提供一定的科学依据。

关键词： RS 土地覆盖动态监测 cbers 株洲市

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