Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal
Mapping large wildfires (LW) is essential for environmental applications and enhances the understanding of the dynamics of affected areas. Remote sensing techniques supported by machine learning and time series have been increasingly used in studies addressing this issue and have shown potential for...
Main Authors: | Sarah Moura Batista dos Santos, Soltan Galano Duverger, António Bento-Gonçalves, Washington Franca-Rocha, António Vieira, Georgia Teixeira |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Fire |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-6255/6/2/43 |
Similar Items
-
A Landsat-based atlas of monthly burned area for Portugal, 1984–2021
by: Alana K. Neves, et al.
Published: (2023-05-01) -
Characterization of land use and occupation in rural settlements in the Brazilian Midwest
by: Alencar Garcia Bacarji, et al.
Published: (2022-09-01) -
Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands
by: Andy Hardy, et al.
Published: (2020-04-01) -
Satellite Time Series and Google Earth Engine Democratize the Process of Forest-Recovery Monitoring over Large Areas
by: Jennifer N. Hird, et al.
Published: (2021-11-01) -
A Batch Pixel-Based Algorithm to Composite Landsat Time Series Images
by: Jianzhou Li, et al.
Published: (2022-08-01)