A comparative study on the applicability and effectiveness of NSVI and NDVI for estimating fractional vegetation cover based on multi-source remote sensing image

A comparative study on the applicability and effectiveness of NSVI and NDVI for estimating fractional vegetation cover based on multi-source remote sensing image

Fractional vegetation coverage (FVC) is an important ecological parameter reflecting the growth of regional plants. Existing FVC estimation is often based on vegetation indices, especially the Normalized Difference Vegetation Index (NDVI). However, NDVI can be oversaturated and easily affected by pr...

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Bibliographic Details
Main Authors: Zhang-hua Xu, Yi-fan Li, Bin Li, Zhen-bang Hao, Lili Lin, Xin-yu Hu, Xin Zhou, Hui Yu, Song-yang Xiang, Mpomboum -Lingom -Fils Pascal, Wan-ling Shen, An-qi He, Ling-yan Chen, Zeng-lu Li
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geocarto International
Subjects:
fractional vegetation coverage
dimidiate pixel model
capability differences to detect vegetation information
bright and shaded areas
Online Access:http://dx.doi.org/10.1080/10106049.2023.2184501

Internet

http://dx.doi.org/10.1080/10106049.2023.2184501

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