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

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 8; p. 979
• Main Authors: Mercier, Audrey, Betbeder, Julie, Rumiano, Florent, Baudry, Jacques, Gond, Valéry, Blanc, Lilian, Bourgoin, Clément, Cornu, Guillaume, Ciudad, Carlos, Marchamalo, Miguel, Poccard-Chapuis, René, Hubert-Moy, Laurence
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 24.04.2019; MDPI
• Subjects: Agricultural land; Agricultural management; Agriculture; Biodiversity; Brazilian Amazon; cantabrian range; Classification; Climate change; decision trees; Environmental Sciences; feature selection; Forests; Geography; Habitats; Heterogeneity; Humanities and Social Sciences; Land cover; Land use; Landscape; Mapping; Mosaics; optical and SAR satellite images; random forests; Remote sensing; Satellite imagery; Short wave radiation; Studies; Synthetic aperture radar; Temporal resolution; Time series; Tropical forests; Vegetation mapping; Winter; Brazil; France; Spain; brazilian amazon; decision trees; optical and SAR satellite images; remote sensing; random forests; feature selection; cantabrian range

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 difficult....