THE DATA PREPARATION RESEARCH ON GLOBAL MULTI-SOURCE SYNERGIZED QUANTITATIVE REMOTE SENSING PRODUCTION SYSTEM

被引：0
|
作者：
Li, Hongyi [1 ]
Tang, Ping [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
关键词：
data synergized; synthesis vegetation index; data sheeting; multi-source remote sensing data;
D O I：
10.1109/igarss.2019.8899119
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The inversion of quantitative remote sensing products of the multi-source synergized in global-scale characteristics such as big data, multi-scale, multi-tense, multi-projection, multifile format, multi-size, etc. Facing the complicated input parameters above, it is necessary to study the preparation of the remote sensing data synergized for providing the support of the data and further optimizing the I/O, memory and computing resource. This paper takes 30-meter-scale synthesis vegetation index in 10 days as an example and finds out the rules of the data preparation, thus formulating a technical system of multi-source data synergized for remote sensing production services.
引用
收藏
页码：4340 / 4343
页数：4
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