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Proceedings Paper

Use of GAC NDVI data for crop monitoring in North African countries
Author(s): Felix Rembold; Fabio Maselli
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Paper Abstract

The necessity for accurate and real time crop monitoring is particularly felt in arid and semiarid environments, because temporal and geographical rainfall variability leads to high interannual variations in primary production and often increases the risk of severe famines. In these cases remotely sensed data, available for wide areas and with high temporal frequency, are an important tool for crop production monitoring and harvest forecasting. In particular, GAC NDVI images derived from the NOAA-AVHRR sensor have already been used for this aim in the Sahelian area of Africa, obtaining good results. In the present paper, a similar approach is tested for the early estimation of cereal crop yield in North African countries. The first results indicate that this estimation is possible especially when stratifying the land surface in ecologically homogeneous zones, identified by supervised or unsupervised clustering techniques.

Paper Details

Date Published: 17 December 1999
PDF: 8 pages
Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); doi: 10.1117/12.373084
Show Author Affiliations
Felix Rembold, IATA (Italy)
Fabio Maselli, IATA (Italy)

Published in SPIE Proceedings Vol. 3868:
Remote Sensing for Earth Science, Ocean, and Sea Ice Applications
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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