Paper
17 December 1999 Use of GAC NDVI data for crop monitoring in North African countries
Felix Rembold, Fabio Maselli
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Felix Rembold and Fabio Maselli "Use of GAC NDVI data for crop monitoring in North African countries", Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); https://doi.org/10.1117/12.373084
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vegetation

Agriculture

Calibration

Data centers

Data archive systems

Floods

Image processing

Back to Top