@inproceedings{a098b20e1f144e78b92fb3012e4e4f8f,
title = "Comparing hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat",
abstract = "Many vegetation indices have been developed to estimate crop N status at leaf and canopy levels. However, research is lacking to compare these indices for estimating plant N concentration of winter wheat (Triticum aestivum L.) at different growth stages using a common dataset. The objective of this study is to identify promising hyperspectral vegetation indices for estimating winter wheat N concentration and compare them with a series of published vegetation indices using field data from farmers' fields. Three field experiments involving different winter wheat varieties and 4 to 6 N rates were conducted with cooperative farmers during 2005-2007 in Shandong Province, China. Data from 69 farmers' fields were used to evaluate the hyperspectral vegetation indices for estimating winter wheat N concentration. Two classes of indices were tested involving all possible two band combinations from 350 nm to 1075 nm: simple ratio index (SRI) and normalized difference index (NDI). Results indicated that the performance of different hyperspectral vegetation indices and band combinations differed with growth stages and years.",
keywords = "Hyperspectral remote sensing, Nitrogen concentration, Vegetation index, Winter wheat",
author = "F. Li and Y. Miao and Hennig, {S. D.} and Gnyp, {M. L.} and X. Chen and L. Jia and G. Bareth",
year = "2009",
month = dec,
day = "1",
language = "English (US)",
isbn = "9789086861132",
series = "Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009",
pages = "141--149",
booktitle = "Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009",
note = "7th European Conference on Precision Agriculture, ECPA 2009 ; Conference date: 06-07-2009 Through 08-07-2009",
}
