A method of coupling with multi-source heterogeneous remote sensing data system based on SOS web service

Author

Lianjie Zhou ; Nengcheng Chen ; Chuli Hu

Author_Institution

State Key Lab. for Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China

fYear

2013

fDate

20-22 June 2013

Firstpage

1

Lastpage

5

Abstract

With the development of earth observation technology, various countries have established data systems, such as NASA, has established ECHO MODIS data system, NOAA has established CLASS data system, USGS has established the LANDSAT data system, INPE (Brazilian Space Information Bureau) has established the CBERS2 data system. The access protocols of these data system differ, while different access protocols of heterogeneous data system bring users with great difficulty of data finding. Sensor observation service (SOS) provides users with data query and find interface, so this paper constructs SOS middleware to couple with different data system access protocol, and encodes the founded data with Earth observation encoding format (EOP) format, which provides users with an unified and standard data finding method and conveys rich and useful metadata for external users.

Keywords

Web services; distributed databases; geophysics computing; meta data; middleware; query processing; remote sensing; Brazilian Space Information Bureau; CBERS2 data system; CLASS data system; ECHO MODIS data system; EOP format; Earth observation encoding format; INPE; LANDSAT data system; NASA; NOAA; SOS Web service; USGS; coupling method; data query; earth observation technology; external users; metadata; middleware; multisource heterogeneous remote sensing data system; sensor observation service; standard data finding method; unified data finding method; Access protocols; Data systems; Earth; Encoding; MODIS; Remote sensing; Satellites; EOP coding format; access protocol; couple; middleware; remote sensing data system; sensor observation service; web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on

Conference_Location

Kaifeng

ISSN

2161-024X

Type

conf

DOI

10.1109/Geoinformatics.2013.6626059

Filename

6626059