Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest

Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest

In developing countries, information on the area and spatial distribution of paddy rice fields is an essential requirement for ensuring food security and facilitating targeted actions of both technical assistance and restoration of degraded production areas. In this study, Sentinel 1 (S1) and Sentin...

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Bibliographic Details
Main Authors: Edoardo Fiorillo, Edmondo Di Giuseppe, Giacomo Fontanelli, Fabio Maselli
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
rice mapping
random forest
Sentinel 1 data
Sentinel 2 data
Senegal
Casamance
Online Access:https://www.mdpi.com/2072-4292/12/20/3403

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