Holistic Reduction to Compare and Create New Indices for Global Inter-Seasonal Monitoring: Case Study for High Resolution Surface Water Mapping

Holistic Reduction to Compare and Create New Indices for Global Inter-Seasonal Monitoring: Case Study for High Resolution Surface Water Mapping

A remote sensing method that integrates virtual sampling from formalized visual interpretations is proposed to facilitate land cover mapping and enhance its accuracy, with an emphasis on spatial and temporal scalability. Indices are widely used for mapping and monitoring surface water across space a...

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Bibliographic Details
Main Authors: Ricardo A. Aravena, Mitchell B. Lyons, David A. Keith
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
water
indices
Satellite Imagery Interpretation
interpretation keys
decision matrix
colourimetry
Online Access:https://www.mdpi.com/2072-4292/15/8/2063

Internet

https://www.mdpi.com/2072-4292/15/8/2063

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