中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A NEW SELF-ADAPTIVE APPROACH FOR PRODUCING CLEAR-SKY VIIRS COMPOSITES AT CONTINENTAL SCALE FOR THE STUDIES OF BELT AND ROAD INITIATIVE

文献类型:会议论文

作者Jinhu Bian1,2; Ainong Li1; Guangbin Lei1
出版日期2018
会议日期2018
会议地点Valencia, SPAIN
关键词B&R initiative VIIRS temporal compositing temporal adaptive
页码7255-7258
国家SPAIN
英文摘要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.
源文献作者IEEE
产权排序1
会议录IEEE International Symposium on Geoscience and Remote Sensing IGARSS
语种英语
ISSN号2153-6996
ISBN号978-1-5386-7150-4
WOS记录号WOS:000451039806243
源URL[http://ir.imde.ac.cn/handle/131551/24501]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
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
推荐引用方式
GB/T 7714
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]. 见:. Valencia, SPAIN. 2018.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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