Deep Learning Dataset for Estimating Burned Areas: Case Study, Indonesia

Deep Learning Dataset for Estimating Burned Areas: Case Study, Indonesia

Wildland fire is one of the most causes of deforestation, and it has an important impact on atmospheric emissions, notably CO<sub>2</sub>. It occurs almost every year in Indonesia, especially during the dry season. Therefore, it is necessary to identify the burned areas from remote sensi...

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Bibliographic Details
Main Authors: Yudhi Prabowo, Anjar Dimara Sakti, Kuncoro Adi Pradono, Qonita Amriyah, Fadillah Halim Rasyidy, Irwan Bengkulah, Kurnia Ulfa, Danang Surya Candra, Muhammad Thufaili Imdad, Shadiq Ali
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Data
Subjects:
dataset
burned area
deep learning
U-Net
Landsat-8
remote sensing
Online Access:https://www.mdpi.com/2306-5729/7/6/78

Internet

https://www.mdpi.com/2306-5729/7/6/78

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