Deforestation detection using deep learning-based semantic segmentation techniques: a systematic review

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Deforestation detection using deep learning-based semantic segmentation techniques: a systematic review

Deforestation poses a critical global threat to Earth's ecosystem and biodiversity, necessitating effective monitoring and mitigation strategies. The integration of deep learning with remote sensing offers a promising solution for precise deforestation segmentation and detection. This paper pro...

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Bibliographic Details
Published in:	FRONTIERS IN FORESTS AND GLOBAL CHANGE
Main Authors:	Jelas, Imran Md; Zulkifley, Mohd Asyraf; Abdullah, Mardina; Spraggon, Martin
Format:	Review
Language:	English
Published:	FRONTIERS MEDIA SA 2024
Subjects:	Environmental Sciences & Ecology; Forestry
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001162548100001

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