The potential of airborne hyperspectral images to detect leaf nitrogen content in potato fields

DOI

10.2991/icmaee-14.2014.28How to use a DOI?

Keywords

Airborne hyperspectra limage, Transformed chloro-phyll absorption reflectance index (TCARI), Optimized soil adjusted vegetation index (OSAVI), Nitrogen, Potato

Abstract

Leaf nitrogen (leaf N) status is important, to optimize nitrogen management and improve yield quantity and quality. Relationships between canopy spectral reflectance at 400-1000 nm with ASIA and nitrogen levels in potato leaves were studied. Five nitrogen (N) fertilizer treatments in 2007 and seven nitrogen (N) fertilizer treatments in 2008 were applied to build up levels of nitrogen variation in potato fields in Israel. The leaves were sampled and analyzed for leaf N. Prediction models of leaf N were developed based on an optical index named transformed chlorophyll absorption reflectance index (TCARI) and on the ratio TCARI/OSAVI (the optimized soil adjusted vegetation index) for airborne hyperspectral images of 2007 and 2008. The ratio TCARI/OSAVI resulted in stronger correlations than TCARI with leaf N for canopy spectral reflectance. The best estimation models from the ratio TCARI/OSAVI were applied to all the potato pixels of the airborne images. The values of the leaf N distribution map ranged from 3.0% to 6.6%, which was quite consistent with those of laboratory measurements from 3.6% to 5.9%. The results show the potential of using information extracted from airborne hyperspectral images for distinguishing spatial variability in leaf N status in potato fields.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Li
AU  - Victor Alchanatis
PY  - 2014/03
DA  - 2014/03
TI  - The potential of airborne hyperspectral images to detect leaf nitrogen content in potato fields
BT  - Proceedings of the International Conference on Material and Environmental Engineering (ICMAEE 2014)
PB  - Atlantis Press
SP  - 103
EP  - 107
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmaee-14.2014.28
DO  - 10.2991/icmaee-14.2014.28
ID  - Li2014/03
ER  -