Mapping Tropical Forest Cover and Deforestation with Planet NICFI Satellite Images and Deep Learning in Mato Grosso State (Brazil) from 2015 to 2021

Autor:	Fabien H. Wagner, Ricardo Dalagnol, Celso H. L. Silva-Junior, Griffin Carter, Alison L. Ritz, Mayumi C. M. Hirye, Jean P. H. B. Ometto, Sassan Saatchi
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	tropical forests semantic segmentation U-net TensorFlow 2 land-cover and land-use Science
Zdroj:	Remote Sensing, Vol 15, Iss 2, p 521 (2023)
Druh dokumentu:	article
ISSN:	2072-4292
DOI:	10.3390/rs15020521
Popis:	Monitoring changes in tree cover for assessment of deforestation is a premise for policies to reduce carbon emission in the tropics. Here, a U-net deep learning model was used to map monthly tropical tree cover in the Brazilian state of Mato Grosso between 2015 and 2021 using 5 m spatial resolution Planet NICFI satellite images. The accuracy of the tree cover model was extremely high, with an F1-score >0.98, further confirmed by an independent LiDAR validation showing that 95% of tree cover pixels had a height >5 m while 98% of non-tree cover pixels had a height
Databáze:	Directory of Open Access Journals
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