Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data

Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data

Land cover mapping of intensive cropping areas facilitates an enhanced regional response to biosecurity threats and to natural disasters such as drought and flooding. Such maps also provide information for natural resource planning and analysis of the temporal and spatial trends in crop distribution...

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Bibliographic Details
Main Authors: James Brinkhoff, Justin Vardanega, Andrew J. Robson
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Remote Sensing
Subjects:
land cover mapping
crop type classification
remote sensing
satellite image time series
sentinel-1
sentinel-2
machine learning
Online Access:https://www.mdpi.com/2072-4292/12/1/96

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