An automated and optimized geo-computation approach for spatial fire risk modelling using geo-web service orchestration. Issue 25 (13th December 2022)

• Record Type: Journal Article
• Authors: Pandey, Kamal; Karnatak, Harish C.; Gairola, Asha Ram; Bhandari, Ravi; Roy, Arijit
• Is Part Of: Geocarto international. Volume 37:Issue 25(2023)
• Page Start: 7843
• Page End: 7854
• Publication Date: 2022-12-13
• Subjects: Forest fire risk modelling -- SDSS -- Web Services Orchestrations and FRAMS; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2021.1986577
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: Forest fire detection through space-based observations using thermal sensors is in operation since more than one decades. These active fire alerts are generated by using products from MODIS and SNPP–VIIRS satellites and are limited up to identification of active fire locations based on recorded temperature in satellite sensors. However, relation of fire location with forest type map, terrain profile and weather data are required for planning and monitoring of vulnerable areas. An attempt is made to develop online Spatial Decision Support System (SDSS) and spatial model for forest fire risk mapping. The developed SDSS is based on Geospatial Web Service Orchestration (GWSO) workflow which enables forest fire risk alerts and advisories as Web Map Service, Geo SMS and a Geoportal application. User can use this SDSS with minimum technical skills and limited computation resources to generate daily forest fire risk map for fire monitoring and management.