Developing a Knowledge Framework to Support Fire and Smoke Management in Tak Province Based on The Application of Geoinformatics

Abstract

The current management of fire-affected areas still requires spatial knowledge to support decision-making processes. This article aimed to (1) develop a comprehensive knowledge framework aimed at bolstering the management of fire and smoke within Tak province through the application of geoinformatics; (2) assess the outcomes of this framework from user satisfaction and formulate guidelines for its effective utilization. The research methodology involved several distinct stages, including spatial data collection, field surveys, geoinformatics data analysis, knowledge framework development, and performance evaluation. The study yielded affirmative results regarding the feasibility of constructing a knowledge framework. This framework comprised the following: (1) estimation of burnt area and severity results utilizing Landsat satellite data; (2) analysis of data on the occurrence of MODIS Hotspot and Suomi NPP Hotspot phenomena; (3) assessment of forest fire risk areas using geographic information systems (GIS); (4) assessment of risk areas for agricultural open burning using GIS analysis; and (5) identification of smoke-prone zones using geoinformatics techniques. The evaluation of user satisfaction revealed a high level of overall contentment with the established knowledge framework ( = 4.34, SD. = 0.85). Furthermore, comprehensive guidelines were delineated to facilitate the effective utilization of this framework in supporting fire and smoke management. These guidelines encompass various facets, including warning systems, monitoring protocols, managerial strategies, decision support mechanisms, risk prioritization techniques, and the utilization of the framework in setting objectives and key results (OKRs) for pertinent agencies. Importantly, the framework is designed to address the entirety of fire and smoke management processes, encompassing pre-disaster preparedness, response during incidents, and post-disaster recovery phases.