Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes

Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes

Monitoring forest–agriculture mosaics is crucial for understanding landscape heterogeneity and managing biodiversity. Mapping these mosaics from remotely sensed imagery remains challenging, since ecological gradients from forested to agricultural areas make characterizing vegetation more d...

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Bibliographic Details
Main Authors: Audrey Mercier, Julie Betbeder, Florent Rumiano, Jacques Baudry, Valéry Gond, Lilian Blanc, Clément Bourgoin, Guillaume Cornu, Carlos Ciudad, Miguel Marchamalo, René Poccard-Chapuis, Laurence Hubert-Moy
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
remote sensing
optical and SAR satellite images
feature selection
decision trees
random forests
Brazilian Amazon
cantabrian range
Online Access:https://www.mdpi.com/2072-4292/11/8/979

Internet

https://www.mdpi.com/2072-4292/11/8/979

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