Saturday 29 October 2022

Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping | Chapter 8 | Current Overview on Science and Technology Research Vol. 7

 This research was administered to brace thicket fire susceptibility plan (FFSM) utilizing a ever-present GIS and an ensemble of adjusting neuro fluffy connect system (ANFIS) accompanying ancestral (GA) and fake annealing (SA) algorithms (ANFIS-GA-SA) and an ensemble of branching action function (RBF) accompanying an imperialist cutthroat treasure (ICA) (RBF-ICA) model in Chaharmahal and Bakhtiari Province, Iran. GIS dossier and electronics have confirmed helpful in many environmentally-connected studies in agreements of acquiring fine determination dossier and fact-finding numerous face jolting the authentic-globe phantasms. A field survey and MODIS subsidiary imagery were used to label the woodland fire fields. The consequences of the dimensional autocorrelation revealed that the disposal of fire incident in the research domain is grouped, and the plurality of the terrestrial dependence is affiliated to the determinants having connection with conclusion distance, soil type, and precipitation.


Author(s) Details:

Babak Ranjgar,
Geoinformation Tech. Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran 19697, Iran.

Seyed Vahid Razavi-Termeh,
Geoinformation Tech. Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran 19697, Iran.

Abolghasem Sadeghi-Niaraki,
Department of Computer Science and Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea.

Soo-Mi Choi,
Department of Computer Science and Engineering and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea.

Please see the link here: https://stm.bookpi.org/COSTR-V7/article/view/8510

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