Forest fire risk assessment model using Remote sensing and GIS techniques in Tujiin nars national park, Mongolia

Authors

  • Munkh-Erdene Altangerel Division of Remote Sensing and Spatial Modeling, Institute of Geography and Geoecology Mongolian Academy of Sciences, Ulaanbaatar, Mongolia https://orcid.org/0000-0003-4609-7242
  • Amarsaikhan Damdinsuren Division of Remote Sensing and Spatial Modeling, Institute of Geography and Geoecology Mongolian Academy of Sciences, Ulaanbaatar, Mongolia https://orcid.org/0000-0002-8967-3214
  • Jargaldalai Enkhtuya Division of Remote Sensing and Spatial Modeling, Institute of Geography and Geoecology Mongolian Academy of Sciences, Ulaanbaatar, Mongolia https://orcid.org/0000-0002-2790-3539
  • Nyamjargal Erdenebaatar Division of Remote Sensing and Spatial Modeling, Institute of Geography and Geoecology Mongolian Academy of Sciences, Ulaanbaatar, Mongolia https://orcid.org/0000-0003-3697-5494

DOI:

https://doi.org/10.5564/pmas.v61i01.1557

Keywords:

Forest Fire Risk, GIS, RS, Tujiin Nars

Abstract

Forest is an important natural resource that should be carefully protected and rationally managed. In recent years, deforestation and forest land degradation have become the main concern for forest specialists as well as policy and decision-makers dealing with environment issues. It has been found that much of the existing forests have been destroyed, mainly by shifting cultivation, timber preparation, legal and illegal logging, and forest fires. To protect and conserve the deteriorating forest, it is very important to conduct forest-related risk assessment and map the outcomes in a spatial domain. The aim of this research is to conduct a forest fire risk assessment mapping of Tujiin Nars National Park using geographic information system (GIS) and remote sensing (RS) techniques. The research approach is based on an empirical model. It includes three parameters (i.e. geomorphology, vegetation cover combustibility and human activity) that are crucial for the forest fire assessment. The results of the study can be used for different decision making processes.

Downloads

Download data is not yet available.
Abstract
524
PDF
459

Downloads

Published

2021-03-05

How to Cite

Altangerel, M.-E., Damdinsuren, A., Enkhtuya, J., & Erdenebaatar, N. (2021). Forest fire risk assessment model using Remote sensing and GIS techniques in Tujiin nars national park, Mongolia. Proceedings of the Mongolian Academy of Sciences, 61(01), 10–19. https://doi.org/10.5564/pmas.v61i01.1557

Issue

Section

Articles