Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model

Author:

Abdollahi Abolfazl,Pradhan Biswajeet

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference53 articles.

1. Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture;Abdollahi;Egypt. J. Remote Sens. Space Sci.,2022

2. Urban vegetation mapping from aerial imagery using explainable AI (XAI);Abdollahi;Sensors,2021

3. Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques;Adab;Nat. Hazards,2013

4. Forest and wildland fire risk assessment using geospatial techniques: a case study of Nemmara forest division, Kerala, India;Ajin;J. Wetl. Biodivers.,2015

5. Wildland fire susceptibility mapping using support vector regression and adaptive neuro-fuzzy inference system-based whale optimization algorithm and simulated annealing;Al-Fugara;ISPRS Int. J. Geo Inf.,2021

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