Exploring Earth Observation Time Series Data on the Web - Implementation of a Processing Service for Web-based Analysis.
Abstract
Over the past decade there has been a general trend in information technology from monolithic desktop applications towards loosely coupled Web Services. Following this trend Web-based visualization of map like data (e.g. OGC Web Mapping Service) has found widespread use, especially as part of Spatial Data Infrastructures (SDI). In combination with metadata catalogues the primary aim of these map services is data publication and distribution, hence the capabilities are limited to viewing or browsing (e.g. zoom, pan, identify). Only a few examples exist enabling users to analyse data (e.g. calculating statistics or merging different data layers) through a web interface or Web Service. In this paper intermediate results are presented from research conducted on the implementation of an OGC Web Processing Service (WPS) for online analysis of Earth observation time series data. Earth observation data at regional to global scale has been collected with various sensors and satellite systems for more than three decades. The amounts of data acquired seem to have outpaced our ability to exploit and analysis it. With aid of consistent data products (e.g. MODIS suite of land surface products) and the advancements in information technology and in particular MDA, SOA and Grid computing the basis to overcome this shortfall is available. In this context the objective of this study was to develop a generic Processing Service for spatio- temporal exploration of coverage data. The advantage of implementing it as a WPS is that it can be accessed by any client (either a browser or a service) through the Internet and it delivers reproducible results facilitating interoperability and flexibility. Besides, WPS has been experimented as a standard processing interface for heterogeneous Grid infrastructures in the framework of the OGC-OGF interoperability initiative, facilitating scalability. Combining the WPS with a Catalogue Service (i.e. the OGC CS-W) allows users to select and access distributed data sources provided through Web Coverage Service (WCS) servers. They may be gridified, as well. This study is part of the development of the Siberian Earth System Science Cluster, a Spatial Data Infrastructure for remote sensing product generation, dissemination and analysis.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2008
- Bibcode:
- 2008AGUFMIN21A1047G
- Keywords:
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- 0530 Data presentation and visualization;
- 1640 Remote sensing (1855);
- 1694 Instruments and techniques;
- 9320 Asia