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

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...

Full description

Bibliographic Details
Main Authors: Qi Chen, Ruihong Yu, Yanling Hao, Linhui Wu, Wenxing Zhang, Qi Zhang, Xunan Bu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
aquatic vegetation
concave–convex decision function
remote sensing extraction
GF-1 satellite
Lake Ulansuhai
China
Online Access:http://www.mdpi.com/2072-4292/10/8/1279

Similar Items

Similar Items