Investigating the accuracy of vegetation index-based models for estimating the fractional vegetation cover and the effects of varying soil backgrounds using in situ measurements and the PROSAIL model-Reference-Cited by-同舟云学术

Investigating the accuracy of vegetation index-based models for estimating the fractional vegetation cover and the effects of varying soil backgrounds using in situ measurements and the PROSAIL model

Published:2017-05-15 Issue:14 Volume:38 Page:4206-4223
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ding Yanling¹^ORCID,Zhang Hongyan¹,Zhao Kai²,Zheng Xingming²

Affiliation:

1. School of Geographical Sciences, Northeast Normal University, Changchun, China

2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China

Funder

National Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

the China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1312617

Reference42 articles.

1. Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets

2. A review of vegetation indices

3. The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches

4. A MODIS-Based Global 1-km Maximum Green Vegetation Fraction Dataset

5. On the relation between NDVI, fractional vegetation cover, and leaf area index

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