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A NEW SELF-ADAPTIVE APPROACH FOR PRODUCING CLEAR-SKY VIIRS COMPOSITES AT CONTINENTAL SCALE FOR THE STUDIES OF BELT AND ROAD INITIATIVE
语种英语
Jinhu Bian1,2; Ainong Li1; Guangbin Lei1
2018
会议录名IEEE International Symposium on Geoscience and Remote Sensing IGARSS
会议录编者/会议主办者IEEE
页码7255-7258
会议名称38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期2018
会议地点Valencia, SPAIN
会议举办国SPAIN
产权排序1
摘要The implementation of the Belt and Road (B&R) initiative is of great significance to promoting economic development and regional cooperation in China and other countries along the corridors. Remote sensing technology can provide strong supports for ecological environment monitoring in the process of Belt and Road construction. However, due to frequent cloud contamination, the time series remote sensing images are not continuous in both spatial and temporal domain. This study proposed a new self-adaptive compositing approach (SACA) to produce the clear-sky VIIRS surface reflectance composites for the B&R regions. An evaluation was made for the SACA method by comparing it to the maximum NDVI (MaxNDVI), minimum Red (MinRed) and maximum ratio (MaxRatio) compositing schemes. Results showed that the SACA approach outperformed all other three methods. The results highlighted that the SACA method was feasible and effective at compositing continental VIIRS data, which has great potential for the B&R eco-environment studies.
关键词B&R initiative VIIRS temporal compositing temporal adaptive
ISBN号978-1-5386-7150-4
ISSN号2153-6996
收录类别CPCI
WOS记录号WOS:000451039806243
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文献类型会议论文
条目标识符http://ir.imde.ac.cn/handle/131551/24501
专题中国科学院水利部成都山地灾害与环境研究所
通讯作者Ainong Li
作者单位1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
2.University of Chinese Academy of Sciences, Beijing 100049, China
第一作者单位中国科学院水利部成都山地灾害与环境研究所
通讯作者单位中国科学院水利部成都山地灾害与环境研究所
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Jinhu Bian,Ainong Li,Guangbin Lei. A NEW SELF-ADAPTIVE APPROACH FOR PRODUCING CLEAR-SKY VIIRS COMPOSITES AT CONTINENTAL SCALE FOR THE STUDIES OF BELT AND ROAD INITIATIVE[C]//IEEE,2018:7255-7258.
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