A New Method for Mapping Aquatic Vegetation Especially Underwater Vegetation in Lake Ulansuhai Using GF-1 Satellite Data

It is difficult to accurately identify and extract bodies of water and underwater vegetation from satellite images using conventional vegetation indices, as the strong absorption of water weakens the spectral feature of high near-infrared (NIR) reflected by underwater vegetation in shallow lakes. Th...

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Autors principals:	Qi Chen, Ruihong Yu, Yanling Hao, Linhui Wu, Wenxing Zhang, Qi Zhang, Xunan Bu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2018-08-01
Col·lecció:	Remote Sensing
Matèries:	aquatic vegetation concave–convex decision function remote sensing extraction GF-1 satellite Lake Ulansuhai China
Accés en línia:	http://www.mdpi.com/2072-4292/10/8/1279
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