Estimation of Nitrogen Content in Herbaceous Plants Using Hyperspectral Vegetation Indices

Authored by: D. Stroppiana , F. Fava , M. Boschetti , P. A. Brivio

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138066038
eBook ISBN: 9781315159331
Adobe ISBN:

10.1201/9781315159331-8

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Abstract

In this chapter, we review the use of hyperspectral data for the assessment of nitrogen content in herbaceous plants (crops and pastures) by illustrating the major datasets and methods employed for this purpose. In the introduction and state of the art sections, general background is provided together with information on the precursory studies and instruments used for N content measurement and monitoring. Moreover, the most recent and advanced instruments for field measurements/estimates of leaf and canopy nitrogen are described. A brief summary of the major platforms used for proximal and remote sensing of nitrogen content is given; hand-held and airborne platforms are by far the most exploited ones at the local to regional scale. Satellite hyperspectral data are still underexploited, and future missions could further stimulate large-area applications.

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