Similarity Metrics Enforcement in Seasonal Agriculture Areas Classification

Similarity Metrics Enforcement in Seasonal Agriculture Areas Classification

Accurate identification of agriculture areas is a key piece in the building blocks strategy of environment and economics resources management. The challenge requires one to deal with landscape complexity, sensors and data acquisition limitations through a proper computational approach to timely deli...

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Bibliographic Details
Main Authors: Marcio A. S. Santos, Eduardo D. Assad, Angelo C. Gurgel, Nizam Omar
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
remote sensing
agriculture
time series similarity metrics
machine learning
land use dynamics
Online Access:https://www.mdpi.com/2072-4292/12/11/1791

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