Paper
23 January 2001 Use of very high resolution satellite images for precision farming: recommendations on nitrogen fertilization
V. Garcia Cidad, Els Vrindts, Josse De Baerdemaeker
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Garcia Cidad, Els Vrindts, and Josse De Baerdemaeker "Use of very high resolution satellite images for precision farming: recommendations on nitrogen fertilization", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); https://doi.org/10.1117/12.413941
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Cited by 4 scholarly publications.
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KEYWORDS
Reflectivity

Earth observing sensors

Satellites

High resolution satellite images

Nitrogen

Near infrared

Satellite imaging

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