Mapping Maize Cropland and Land Cover in Semi-Arid Region in Northern Nigeria Using Machine Learning and Google Earth Engine

Mapping Maize Cropland and Land Cover in Semi-Arid Region in Northern Nigeria Using Machine Learning and Google Earth Engine

The monitoring of crop quantity and quality is vital for global food security. National food security has recently been at the forefront of local and regional research, and has become a vital priority for most developing countries. Therefore, ensuring reliable classification of cropland and other la...

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Bibliographic Details
Main Authors: Ghali Abdullahi Abubakar, Ke Wang, Auwalu Faisal Koko, Muhammad Ibrahim Husseini, Kamal Abdelrahim Mohamed Shuka, Jinsong Deng, Muye Gan
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
food security
cropland mapping
land cover
machine learning
Google Earth Engine
Sentinel 1 and 2 satellite
Online Access:https://www.mdpi.com/2072-4292/15/11/2835

Internet

https://www.mdpi.com/2072-4292/15/11/2835

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