A new indicator for enhancing fire fuel mapping in Marivan forests, west of Iran

Iraj Rahimi; Lia Duarte; Ana Cláudia Teodoro

doi:10.1117/12.2678997

19 October 2023 A new indicator for enhancing fire fuel mapping in Marivan forests, west of Iran

Iraj Rahimi, Lia Duarte, Ana Cláudia Teodoro

Proceedings Volume 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV; 1273413 (2023) https://doi.org/10.1117/12.2678997
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Hundreds of forest fires have been occurred, every year, in the oak forests of Zagros Mountain chains, especially in Marivan region, Kurdistan province, western Iran. Vegetation condition is considered as one of the critical dynamic factors in estimating fire susceptibility. Geographical Information System (GIS) integrated with Remote Sensing (RS) data provides significant geospatial information of environmental conditions before, during and after a fire occurrence, accurately, easy, not expensive, and with reduced risky fieldworks. This study aims to introduce a local method to differentiate between grass-covered surface and tree canopy in Marivan forests to recognize grass-covered area, as one of the most vulnerable fuel types to fire. The methodology uses Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) product, as an input, to develop a new indicator named Zagros Grass Indicator (ZGI). The ZGI intends to reduce the effect of tree canopy to reach the NDVI value which is created only by grass cover by employing the phenological characteristics of the forest trees and grass species. ZGI is supposed to be more efficient than NDVI for mapping grass-covered area which regarded as one of the most important factors in estimating fire susceptibility in the study area. The results revealed that the ZGI-based map is highly correlated with the distribution of fire occurrences recorded by official authorities.

Citation Download Citation

Iraj Rahimi, Lia Duarte, and Ana Cláudia Teodoro "A new indicator for enhancing fire fuel mapping in Marivan forests, west of Iran", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 1273413 (19 October 2023); https://doi.org/10.1117/12.2678997

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KEYWORDS

Forest fires

Vegetation

Phenology

Geographic information systems

MODIS

Remote sensing

Satellites

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