Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin

Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin

Having updated knowledge of cropland extent is essential for crop monitoring and food security early warning. Previous research has proposed different methods and adopted various datasets for mapping cropland areas at regional to global scales. However, most approaches did not consider the character...

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Bibliographic Details
Main Authors: José Bofana, Miao Zhang, Mohsen Nabil, Bingfang Wu, Fuyou Tian, Wenjun Liu, Hongwei Zeng, Ning Zhang, Shingirai S. Nangombe, Sueco A. Cipriano, Elijah Phiri, Terence Darlington Mushore, Peter Kaluba, Emmanuel Mashonjowa, Chrispin Moyo
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
cropland mapping
agricultural diversity
Zambezi River basin
agroecological zones
random forest
Online Access:https://www.mdpi.com/2072-4292/12/13/2096

Internet

https://www.mdpi.com/2072-4292/12/13/2096

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