How are productivity maps generated?

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Learn the basics

Please review the following articles, to get familiar with the basics on Remote Sensing for Agriculture. This is recommended to understand how Productivity Maps are generated




Methodology - combining NDVI from past seasons

Productivity maps are generated based on the combination of Vegetation Index maps, through geo-statistical analysis. It's also possible to include information from previous yield monitor maps if available. 

This is a procedure relatively simple, automated and objective, that allows to compare the field production and variability in different times, in a single map. Remote sensing imagery is selected in key dates, when crops are vigorous, and Vegetation Index (NDVI) maps are generated on those dates. These layers are then normalized, and integrated in the productivity map.

the following sample images and corresponding NDVI illustrate this process:


MZ landsat 8mar04.jpg
Landsat Image - Jan. 25, 2006
MZ NDVI 8mar04.jpg
NDVI - Jan. 25, 2006
MZ landsat 6jan05.jpg
Landsat Image - June 1, 2005
MZ NDVI 6jan05.jpg
NDVI - June 1, 2005
MZ landsat 25jan06.jpg

Landsat Image - Aug. 3, 2004

MZ NDVI 25jan06.jpg

NDVI - Aug. 3, 2004


These images are integrated by analyzing each pixel, defining homogeneous production areas, and obtaining the productivity map.
MZ management zone map.jpg












When is the right time to select imagery?


Why is crop history important to analyze NDVI and Variability?


How often should Productivity Maps be updated?

La definición de ambientes se inicia en una campaña determinada pero es un proceso que permite mejorar continuamente especialmente al finalizar la primer campaña con la obtención de mapas de rendimiento. A partir de ellos se puede obtenerse información valiosa para retroalimentar el mapa de ambientes original.