Authors:
António Esteves
and
António Pina
Affiliation:
Universidade do Minho, Portugal
Keyword(s):
OGC Standards, WCS, Satellite Datasets, MODIS Sensor, Wildfire Simulation.
Related
Ontology
Subjects/Areas/Topics:
Distributed and Parallel Applications
;
Internet Technology
;
Protocols and Standards
;
Web Geographical Information Systems
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
Web Services and Web Engineering
;
XML and Data Management
Abstract:
This paper describes the integration of multi-dimensional data from satellite sensors in a Civil Protection
application that simulates fire spread. The approach uses standard Web Coverage Services from OGC to fetch
and process land cover and recently burned areas, available in the form of satellite imagery data previously
captured by the MODIS sensor, to automatically generate renovated fuel maps. The proposed architecture
is based on rasdaman, a domain-independent database management system (DBMS) that offers a suite of
WCS services on top of the DBMS. In the current work we extended rasdaman with facilities to: (i) insert
and retrieve multi-layer coverages from WCS, (ii) support new formats, such as HDF, adequate for satellite
imagery and multi-layer files, and (iii) support Coordinate Reference Systems. We also demonstrate that it
is feasible to use MODIS datasets to automatically compute valuable and regularly updated fuel maps, used
as input of fire spread simulations. The resul
ts also show that in spite of using inexpensive general and low
resolution (500m) MODIS maps, we obtained quite acceptable results when compared with the static ones,
which are tailored and higher resolution (80m).
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