Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes

Evaluation of Using Sentinel-1 and -2 Time-Series to Identify Winter Land Use in Agricultural Landscapes

Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an environmental viewpoint, the presence and type of vegetation cover in winter influences the transport of pollutants to water resources. From a methodological viewpoint, characterizi...

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Bibliographic Details
Main Authors: Julien Denize, Laurence Hubert-Moy, Julie Betbeder, Samuel Corgne, Jacques Baudry, Eric Pottier
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
agricultural monitoring
earth observing sensors
multi-temporal classification
optical and SAR time-series
Random Forest algorithm
Support Vector Machine algorithm
Online Access:http://www.mdpi.com/2072-4292/11/1/37

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http://www.mdpi.com/2072-4292/11/1/37

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