Aiming at the storage and management problems of massive remote sensing data,this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abro...Aiming at the storage and management problems of massive remote sensing data,this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS,World Wind,Google Earth,Google Maps,Bing Maps,Microsoft TerraServer,ESA,Earth Simulator,GeoEye,Map World,China Centre for Resources Satellite Data and Application,National Satellite Meteorological Centre,and National Satellite Ocean Application Service. By summing up the practical data storage and management technologies in terms of remote sensing data storage organization and storage architecture,it will be helpful to seek more suitable techniques and methods for massive remote sensing data storage and management.展开更多
卫星遥感技术为我们研究全球变化提供了时间、空间、光谱多维度的海量遥感大数据,目前还没有一种针对遥感数据的多维度的特性设计的一体化存储结构。本文提出了一种多维遥感数据的组织方式,设计了SPAtial-Temporal-Spectral(SPATS)时空...卫星遥感技术为我们研究全球变化提供了时间、空间、光谱多维度的海量遥感大数据,目前还没有一种针对遥感数据的多维度的特性设计的一体化存储结构。本文提出了一种多维遥感数据的组织方式,设计了SPAtial-Temporal-Spectral(SPATS)时空谱多维遥感数据一体化存储结构,定义了5种多维数据存储格式:Temporal Sequential in Band(TSB)、Temporal Sequential in Pixel(TSP)、Temporal Interleaved by Band(TIB)、Temporal Interleaved by Pixel(TIP)和Temporal Interleaved by Spectrum(TIS),设计了Multi-dimensional Data Analysis(MDA)多维数据分析模块,实现了长时间序列遥感影像的时空谱多维一体化存储,并能够进行不同维度的数据分析与显示,构建了基于不同光谱指数的时间谱影像立方体,为时空谱多维遥感数据的综合与表征提供数据组织解决方案。展开更多
The estimation of above-ground biomass(AGB) and carbon storage is very important for arid and semi-arid ecosystems.HJ-1A/B satellite data combined with field measurement data was used for the estimation of shrub AGB a...The estimation of above-ground biomass(AGB) and carbon storage is very important for arid and semi-arid ecosystems.HJ-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,China.The 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 equation.The prediction equation based on ratio vegetation index(RVI)was proved to be more suitable for shrub AGB estimation in the Mu Us desert than others.Shrub AGB and carbon storage were mapped using the RVI based prediction model in final.The 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 16 799 200 t,which has greatly contributed to the carbon fixation in northern China.展开更多
基金supported by the National Basic Research Program of China ("973" Program) (Grant No.61399)
文摘Aiming at the storage and management problems of massive remote sensing data,this paper gives a comprehensive analysis of the characteristics and advantages of thirteen data storage centers or systems at home and abroad. They mainly include the NASA EOS,World Wind,Google Earth,Google Maps,Bing Maps,Microsoft TerraServer,ESA,Earth Simulator,GeoEye,Map World,China Centre for Resources Satellite Data and Application,National Satellite Meteorological Centre,and National Satellite Ocean Application Service. By summing up the practical data storage and management technologies in terms of remote sensing data storage organization and storage architecture,it will be helpful to seek more suitable techniques and methods for massive remote sensing data storage and management.
文摘卫星遥感技术为我们研究全球变化提供了时间、空间、光谱多维度的海量遥感大数据,目前还没有一种针对遥感数据的多维度的特性设计的一体化存储结构。本文提出了一种多维遥感数据的组织方式,设计了SPAtial-Temporal-Spectral(SPATS)时空谱多维遥感数据一体化存储结构,定义了5种多维数据存储格式:Temporal Sequential in Band(TSB)、Temporal Sequential in Pixel(TSP)、Temporal Interleaved by Band(TIB)、Temporal Interleaved by Pixel(TIP)和Temporal Interleaved by Spectrum(TIS),设计了Multi-dimensional Data Analysis(MDA)多维数据分析模块,实现了长时间序列遥感影像的时空谱多维一体化存储,并能够进行不同维度的数据分析与显示,构建了基于不同光谱指数的时间谱影像立方体,为时空谱多维遥感数据的综合与表征提供数据组织解决方案。
基金supported by the National Basic Research Program of China("973"Project)(Grant No.2007CB714404)the National Natural Science Foundation of China(Grant No.40871173)the Special Grantfor Prevention and Treatment of Infectious Diseases(2008ZX10004-012)
文摘The estimation of above-ground biomass(AGB) and carbon storage is very important for arid and semi-arid ecosystems.HJ-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,China.The 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 equation.The prediction equation based on ratio vegetation index(RVI)was proved to be more suitable for shrub AGB estimation in the Mu Us desert than others.Shrub AGB and carbon storage were mapped using the RVI based prediction model in final.The 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 16 799 200 t,which has greatly contributed to the carbon fixation in northern China.
