XU Guanhua, LIU Qinhuo, CHEN Liangfu, et al. Remote sensing for China’s sustainable development: Opportunities and challenges[J]. Journal of Remote Sensing, 2016,20(5):679-688.
XU Guanhua, LIU Qinhuo, CHEN Liangfu, et al. Remote sensing for China’s sustainable development: Opportunities and challenges[J]. Journal of Remote Sensing, 2016,20(5):679-688. DOI: 10.11834/jrs.20166308.
China must deal with a lot of significant major issues
such as resource shortage
environmental deterioration
ocean exploitation
climate change
and so on. As the acceleration of global economic integration process
we have to study and resolve these resource and environment problems with global view. Remote sensing is the unique and basic global observation technology to support the sustainable development
due to its advantages of synoptic view and dynamic monitoring capability for the earth system science
environmental science
resource science and global change study. After a short review of the remote sensing development history
the major international earth observation programs for human sustainable development and global change are summarized and the Chinese remote sensing technology and application status is analyzed accordingly. The most important five remote sensing frontier and challenge directions are presented as the Global Earth Observation System of Systems(GEOSS)
high performance remote sensing modeling and inversion
quantitative remote sensing product validation theory and platform
earth system model and remote sensing data assimilation
and remote sensing big data science. Finally
we point out that the remote sensing application service model should be innovated for much better services on sustainable development
global strategy and economic development. The high-resolution remote sensing satellite commercialization
Unmanned Aerial Vehicle(UAV) remote sensing development
and the remote sensing application marketization should be encouraged.
关键词
遥感全球变化数据同化大数据高分辨率全球地球综合观测系统之系统可持续发展
Keywords
remote sensingglobal changesdata assimilationbig datahigh resolutionGEOSSsustainable development