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Proceedings Paper

Use of very high resolution satellite images for precision farming: recommendations on nitrogen fertilization
Author(s): V. Garcia Cidad; Els Vrindts; Josse De Baerdemaeker
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Paper Abstract

A prototype system for farm decision making was developed allowing satellite images to be properly displayed and combined with land parcel data. As a part of this prototype system, an Algorithm provides tools for the partial automation of the decision process to formulate N-fertilisation recommendations, in the form of a Nitrogen Application Map. The most important part of the algorithm is the work unit based on very high resolution remotely sensed data. To develop this work unit, field measurements were taken parallel to satellite images during two growing seasons (1999-2000) on winter wheat parcels with different plant densities and nitrogen treatments. The parameters measured included reflectance and Leaf Area Index (LAI) during the growing season and yield, protein content and number of spikes, at harvest. Several vegetation indices (VI’s), calculated from the satellite and ground data, were studied with respect to their sensitivity to the different nitrogen doses and to low noise production. The correlation between VI’s and important crop parameters for nitrogen fertilisation management (i.e. LAI) was tested as well.

Paper Details

Date Published: 23 January 2001
PDF: 10 pages
Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413941
Show Author Affiliations
V. Garcia Cidad, Katholieke Univ. Leuven (Belgium)
Els Vrindts, Katholieke Univ. Leuven (Belgium)
Josse De Baerdemaeker, Katholieke Univ. Leuven (Belgium)

Published in SPIE Proceedings Vol. 4171:
Remote Sensing for Agriculture, Ecosystems, and Hydrology II
Manfred Owe; Guido D'Urso; Eugenio Zilioli, Editor(s)

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