Paper Info
Title
A Management System For Forestry Remote Sensing Images Based On The Global Subdivision Model
Abstract
In this research, we proposed a data management system for forestry remote sensing images. The methodological foundation of this research is the global subdivision theory. The storage and management of massive remote sensing data have become one of the key issues in the field of spatial information science, public service and commercial activities. The proposed management system for forestry remote sensing images is based on GeoSOT global subdivision model. This management system simplifies the process for forestry remote sensing data collection, storage, analysis and display procedures; besides, it demonstrates the potential to be applied to several forestry related applications.
Year
DOI
Venue
2020
10.1109/IGARSS39084.2020.9323157
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
DocType
Citations 
forestry remote sensing, GeoSOT, global subdivision
Conference
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Weixin Zhai100.34
Jiajie Yu200.34
Daoye Zhu300.34
Bing Han400.34
Shuangxi Miao500.34
Chengqi Cheng61918.71
Peng Xie700.34