Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery

Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery

Improved data on crop type and crop area from satellite imagery are invaluable for agronomy managers and are crucial for balancing agricultural expansion and forest degradation. However, large-scale maps of crop type and crop area using satellite imagery are not easily available in some regions, esp...

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Bibliographic Details
Main Authors: Olaniyi A. Ajadi, Jeremiah Barr, Sang-Zi Liang, Rogerio Ferreira, Siva P. Kumpatla, Rinkal Patel, Anu Swatantran
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Synthetic aperture radar
SAR
Machine learning
Xgboost
Crop classification
Neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243420309375

Internet

http://www.sciencedirect.com/science/article/pii/S0303243420309375

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