Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery

Effect of Image Fusion on Vegetation Index Quality—A Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery

In recent years, the use of image fusion method has received increasing attention in remote sensing, vegetation cover changes, vegetation indices (VIs) mapping, etc. For making high-resolution and good quality (with low-cost) VI mapping from a fused image, its quality and underlying factors need to...

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Bibliographic Details
Main Authors: Prakash Ghimire, Deng Lei, Nie Juan
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
image fusion
quality assessment
vegetation index
spatial resolution ratio
spectral response function
signal-to-noise ratio
Online Access:https://www.mdpi.com/2072-4292/12/10/1550

Internet

https://www.mdpi.com/2072-4292/12/10/1550

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