Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring

Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring

Afforestation is one of the most effective processes for removing carbon dioxide from the atmosphere and combating global warming. Landsat data and machine learning approaches can be used to map afforestation (i) indirectly, by constructing two maps of the same area over different periods and then p...

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Bibliographic Details
Main Authors: Saverio Francini, Alice Cavalli, Giovanni D’Amico, Ronald E. McRoberts, Mauro Maesano, Michele Munafò, Giuseppe Scarascia Mugnozza, Gherardo Chirici
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
remote sensing
landsat
google earth engine
random forests
machine learning
cloud computing
Online Access:https://www.mdpi.com/2072-4292/15/6/1638

Internet

https://www.mdpi.com/2072-4292/15/6/1638

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