%A Wang Juanle, Cheng Kai, Bian Lingling, Han Xuehua, Wang Mingming %T Integration Framework and Key Technology of Big Earth Datafor SDGs and Beautiful China Evaluation %0 Journal Article %D 2018 %J Remote Sensing Technology and Application %R 10.11873/j.issn.1004-0323.2018.5.0775 %P 775-783 %V 33 %N 5 %U {http://www.rsta.ac.cn/CN/abstract/article_2973.shtml} %8 2018-10-20 %X Construction of UN Sustainable Development Goals(SDGs) and Beautiful Chinashare the same meaning.Both of them endeavor to achieve national and regional social,environment and economy sustainable development.Accurate,reliable,timely and well classified data is the key for accurate evaluation of sustainable development.In order to address issues such as single data source,poor timeliness,lack of high accuracy and evaluation results unreliable,we puts forward the integration framework and standardization of the bigearth data which includes big network data,big remote sensing data,and big socioeconomic data facing to the evaluation of SDGs and Beautiful China.Then,the key technologies of network data acquisition and analysis,remote sensing data information intelligent extraction and socioeconomic data spatialization are analyzed from different perspectives.Taking the water contamination accident of SDG 6,forest information extraction of SDG 15,population spatialization of common requirements in SDGs as examples,the application of technological routes in supporting sustainable development evaluation based on big earth data are studied consequently.