How are productivity maps generated?

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How are they generated understand the zones/ evaluate field variability – NDVI/ when to take imagery by crop? ...El Indice de Vegetación de Diferencias Normalizadas (NDVI por sus siglas en ingles) constituye una buena medida de la actividad fisiológica de las plantas, y además en estudios empíricos tiene entre un 85 y 90% de correlación con el rendimiento del cultivo.

Learn the basics

Please review the following articles, to get familiar with the basics on Remote Sensing for Agriculture:




Overview

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:


Landsat TM5 8mar04

NDVI 8mar04

Landsat TM5 6jan05

NDVI 6jan05

Landsat TM5 25jan06
NDVI 25jan06


These images are integrated by analyzing each cluster, defining homogeneous production areas, and obtaining the productivity map.
Management Zone Map













Productivity Map

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.