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Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India

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Published in:Journal of the Bulgarian Geographical Society
Format: Online Article RSS Article
Published: 2025
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container_title Journal of the Bulgarian Geographical Society
description
discipline_display Geography
discipline_facet Geography
format Online Article
RSS Article
genre Journal Article
id rss_article:70549
institution FRELIP
journal_source_facet Journal of the Bulgarian Geographical Society
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
Geography
General
Geography
sub_discipline_display General
sub_discipline_facet General
subject_display Geography
General
Geography
Geography
General
Geography
subject_facet Geography
General
Geography
title Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_auth Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_full Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_fullStr Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_full_unstemmed Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_short Assessing forest fire vulnerability using artificial neural networks in Almora district, Uttarakhand, India
title_sort assessing forest fire vulnerability using artificial neural networks in almora district, uttarakhand, india
topic Geography
General
Geography
url https://jbgs.arphahub.com/article/159980/