Classification and gradation rule for remote
nsing satellite data products
WANG Jinnian , GU Xingfa , MING Tao , ZHOU Xiang中国社会各阶级的分析
Institute of Remote Sensing and Digital Earth of Chine Academy of Sciences , Beijing 100101, China
Abstract :Remote nsing information products utilizing the multi-source , multi-scale , multi-temporal , multi-type remote nsing
satellite data and ground obrvation data become important rearch topics．The various classification and gradation rules of data products from different remote nsing satellites in different countries have difficulty in meeting the requirements of the integration of multi-source and multi-type geographic information．The main products ries as well as the classification and gradation rules for
both domestic and abroad usage were investigated in this paper．A new classification and gradation rule for remote nsing s atellite data products in China was provided following the principles of efficiency , science , integrality compatibility , maneuverability , and extendibility．The classification rule was bad on the spectral character and data acquisition method , whereas the g radation rule was bad on the processing level of remote satellite data．The uniform classification and gradation rule was built．The rule could keep up with the correlative international standards that is still on progress．The rule included major remote nsing satellite data products at prent and could conveniently build a mapping mechanism with other classification and gradation rules．Its scalability can meet the requirements of classification and gradation for new products in the future．The rule provided the basis for rearch on the indicator system of classification and gradation and for the development of correlative national standards．Key words :remote nsing satellite data products , classification , gradation , indicator system , standardization CLC number :TP701Document code :A斯勤
Citation format :Wang J N , Gu X F , Ming T and Zhou X．2013．Classification and grad
ation rule for remote nsing satellite data
products．Journal of Remote Sensing , 17(3 :566－577
Received :2011-11-21; Accepted :2012-10-09; Version of record first published :2012-10-16
读后感开头怎么写Foundation :National satellite application high-tech industrialization special project “ Rearch on autonomous remote nsing satellite data products and rv-ices technical standards and development of support system high-tech industrialization demonstration project ”
First author biography :WANG Jinnian (1966— , male , professor．His rearch interests are hyperspectral remote nsing , comprehensive application technology on RS , GIS and GPS．E-mail :jwang@irsa．ac．cn
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THE INTEGRATION OF MULTI-SOURCE NEEDS A UNIFORM CLASSIFICATION AND GRADATION RULE
The remote nsing satellite application in China started towards the end of 1970s．Remote nsing data depend on imported sources becau of the abnce of an autonomous remote nsing data source．The earth obrvation technology and application in China have greatly progresd recently．China already have autonomous remote nsing satellites now , such as Fengyun (FY meteorological satellite ries , ocean satellite ries , China-Brazil Earth Resources Satellite (CBERS ries ,
Huanjing ries , Beijing-1, and Tianhui , but also obtained a简单英文名女
large amount of optical and microwave data．More advanced high-r esolution earth obrvation satellites and marine-land ob-rvation satellites have been included in planning．Two kinds of commonly ud data resources have been recently formed．In the foreeable future , autonomous remote nsing data will grad-ually become the main data source and the international c ooperation in the global earth obrving system
魔法奶奶的电话
胺碘酮用法用量has increasingly expanded．
The remote nsing satellite application in China has devel-oped from experimental to business and industrial operations in
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many application domains．With the rapid increa in data acqui-sition capacity and the constant expansion of application domain , the need for sharing and integrating applications for remote ns-ing satellite data resources has incread．The requirement of global massive multi-source amless databa as a technical sup-port for global obrvation and global scientific rearch , c reates a new challenge to the existing model of data integration．In ad-dition , the development of spatial information industry chain has made a higher demand for data production processing ability , es-pecially in standardization and scale processing capacity．The in-tegration of multi-source , multi-temporal , multi-scale , and
multi-type remote nsing data , the integrated utilization of multi-type remote nsing data , ground obrvation information , and the further utilization of remote nsing data
products with large-scale production capacity have become the important and urgent development direction．
The uniform classification and gradation rule for remote nsing satellite data products is the foundation of exchange , i ntegration , and integrated application of multi-resource data．
The inconsistency among existing classification and gradation rules of different ries of remote nsing satellite data products leads to the inconsistency between product specifications and tes-ting methods．This inconsistency has not only influenced the uti-
lization by integration of multi-source , multi-scale , multi-t emporal , multi-type remote nsing satellite data , as well as deep exploitation and utilization of remote nsing information prod-ucts , but also influenced the effective evaluation of urs on the performance and quality of data products from different sources．The abnce of uniform classification and gradation rule for r emote nsing satellite data products has caud increasing o bstacles in large-scale production and application of data products in
确保工程质量the development of spatial information industry．
