Crop type classification using a combination of optical and radar remote sensing data: a review

Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years, crop type classification and monitoring were focused on single-source optical satellite data classification. With advancements in sensor techn...

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Veröffentlicht in:	International journal of remote sensing Jg. 40; H. 17; S. 6553 - 6595
Hauptverfasser:	Orynbaikyzy, Aiym, Gessner, Ursula, Conrad, Christopher
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 02.09.2019 Taylor & Francis Ltd
Schlagworte:	Classification Crops Data Data integration Food security Imagery Mapping Monitoring Multisensor fusion Radar Radar data Radar imaging Remote sensing Satellite data Satellite imagery Sensors Spaceborne remote sensing Vegetation vegetation structure
ISSN:	0143-1161, 1366-5901, 1366-5901
Online-Zugang:	Volltext
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