Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh

Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh

Aquaculture in Bangladesh has grown dramatically in an unplanned manner in the past few decades, becoming a major contributor to the rural economy in many parts of the country. National systems for the collection of statistics have been unable to keep pace with these rapid changes, and more accurate...

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Bibliographic Details
Main Authors: Hannah Ferriby, Amir Pouyan Nejadhashemi, Juan Sebastian Hernandez-Suarez, Nathan Moore, Josué Kpodo, Ian Kropp, Rasu Eeswaran, Ben Belton, Mohammad Mahfujul Haque
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
Bangladesh
machine learning
google earth engine
random forest
support vector machine
aquaculture
Online Access:https://www.mdpi.com/2072-4292/13/23/4890

Internet

https://www.mdpi.com/2072-4292/13/23/4890

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