Title
Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices.
Abstract
Growing numbers of studies have focused on evaluating the ability of vegetation indices (VIs) to predict biophysical parameters such as leaf area index (LAI) and chlorophyll. In this study, empirical models were used to estimate winter wheat LAI based on three spectral indices [the normalized difference vegetation index (NDVI), the modified simple ratio index (MSR), and the modified soil-adjusted ...
Year
DOI
Venue
2016
10.1109/JSTARS.2015.2489718
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Hyperspectral imaging,Estimation,Agriculture,Indexes,Vegetation mapping
Empirical modelling,Leaf area index,Soil science,Vegetation,Remote sensing,Hyperspectral imaging,Precision agriculture,Normalized Difference Vegetation Index,Enhanced vegetation index,Mathematics,Red edge
Journal
Volume
Issue
ISSN
9
2
1939-1404
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Qiaoyun Xie1104.47
Wenjiang Huang217951.84
Bing Zhang342274.10
Pengfei Chen4132.76
xiaoyu58212.85
Simone Pascucci64812.85
Stefano Pignatti78016.28
Giovanni Laneve84816.88
Yingying Dong9104.00