Forest Fire Severity Level Using dNBR Spectral Index

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Forest Fire Severity Level Using dNBR Spectral Index

Forest fires are contributing significantly to the acceleration of deforestation. Monitoring and mapping these fires are crucial, and remote sensing technology has proven effective for this purpose. This research employs remote sensing methods to evaluate the severity of a forest fire in Kampung Bal...

書誌詳細
出版年:	REVUE INTERNATIONALE DE GEOMATIQUE
主要な著者:	Ghazali, Nur Nabihah; Saraf, Noraain Mohamed; Rasam, Abdul Rauf Abdul; Othman, Ainon Nisa; Salleh, Siti Aekbal; Saad, Nurhafiza Md
フォーマット:	論文
言語:	English
出版事項:	TECH SCIENCE PRESS 2025
主題:	Remote Sensing
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001440739600001

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