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
相关论文
共 50 条
  • [41] Research on the Management of Multi-source Data
    Liu, Wen Jing
    Zhao, Man
    Guo, Fei
    Sun, Xiao Rui
    Chen, Yu
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY V, 2015, : 405 - 408
  • [42] Research on multi-source remote sensing image registration technology based on Baker mapping
    Ma, Li
    Huang, Lei
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2024, 15 (03) : 293 - 309
  • [43] Research on Data Fusion Method of Multi-source Complex System
    Cai, Yuxiang
    JOURNAL OF WEB ENGINEERING, 2021, 20 (05): : 1553 - 1571
  • [44] Yield estimation of summer maize based on multi-source remote-sensing data
    Wang, Jingshu
    He, Peng
    Liu, Zhengchu
    Jing, Yaodong
    Bi, Rutian
    AGRONOMY JOURNAL, 2022, 114 (06) : 3389 - 3406
  • [45] Monitoring coal fires in Datong coalfield using multi-source remote sensing data
    Wang, Yun-jia
    Tian, Feng
    Huang, Yi
    Wang, Jian
    Wei, Chang-jing
    TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2015, 25 (10) : 3421 - 3428
  • [46] Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China
    Huang, Xiaodong
    Deng, Jie
    Ma, Xiaofang
    Wang, Yunlong
    Feng, Qisheng
    Hao, Xiaohua
    Liang, Tiangang
    CRYOSPHERE, 2016, 10 (05): : 2453 - 2463
  • [47] Supervised Vicarious Calibration (SVC) of Multi-Source Hyperspectral Remote-Sensing Data
    Brook, Anna
    Ben-Dor, Eyal
    REMOTE SENSING, 2015, 7 (05) : 6196 - 6223
  • [48] Multi-source Remote Sensing Images Data Integration and Sharing Using Agent Service
    Cui, Binge
    Chen, Xin
    Song, Pingjian
    Liu, Rongjie
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2009, PROCEEDINGS, 2009, 5802 : 235 - +
  • [49] Spatial Scaling of Forest Aboveground Biomass Using Multi-Source Remote Sensing Data
    Wang, Xinchuang
    Jiao, Haiming
    IEEE ACCESS, 2020, 8 : 178870 - 178885
  • [50] Spatiotemporal fusion of multi-source remote sensing data for estimating aboveground biomass of grassland
    Zhou, Yajun
    Liu, Tingxi
    Batelaan, Okke
    Duan, Limin
    Wang, Yixuan
    Li, Xia
    Li, Mingyang
    ECOLOGICAL INDICATORS, 2023, 146
12345