A NEW SELF-ADAPTIVE APPROACH FOR PRODUCING CLEAR-SKY VIIRS COMPOSITES AT CONTINENTAL SCALE FOR THE STUDIES OF BELT AND ROAD INITIATIVE | |
Jinhu Bian1,2; Ainong Li1; Guangbin Lei1 | |
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 |
内容类型 | 会议论文 |
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. |
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