Difference between revisions of "How are productivity maps generated?"

From Wikiagro.com
Jump to: navigation, search
Line 1: Line 1:
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  ===
 
=== Learn the basics  ===
  
Please review the following articles, to get familiar with the basics on Remote Sensing for Agriculture:
+
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
+
 
 
*'''[http://www.extension.org/pages/Agricultural_Remote_Sensing_Basics Remote Sensing Basics]''' (extension.org)  
 
*'''[http://www.extension.org/pages/Agricultural_Remote_Sensing_Basics Remote Sensing Basics]''' (extension.org)  
*'''[http://extension.missouri.edu/publications/DisplayPub.aspx?P=EQ453 Precision Agriculture: Remote Sensing and Ground Truthing]''' (University of Missoury Extension)
+
*'''[http://extension.missouri.edu/publications/DisplayPub.aspx?P=EQ453 Precision Agriculture: Remote Sensing and Ground Truthing]''' (University of Missoury Extension)  
 
*'''[[NDVI - Vegetation Index|Normalized Differential Vegetation Index (NDVI) Maps]]'''
 
*'''[[NDVI - Vegetation Index|Normalized Differential Vegetation Index (NDVI) Maps]]'''
 +
 
<br>  
 
<br>  
  
Line 16: Line 15:
 
<br>  
 
<br>  
  
=== Overview  ===
+
=== 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.&nbsp;  
 
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.&nbsp;  
Line 28: Line 27:
 
{| cellspacing="1" cellpadding="1" border="1" width="200"
 
{| cellspacing="1" cellpadding="1" border="1" width="200"
 
|-
 
|-
| [[Image:MZ landsat 8mar04.jpg|thumb|center|200px|Landsat TM5 8mar04]]<br>
+
| [[Image:MZ landsat 8mar04.jpg|thumb|center|200px]]Landsat Image - Jan. 25, 2006
| [[Image:MZ NDVI 8mar04.jpg|thumb|center|200px|NDVI 8mar04]]<br>
+
| [[Image:MZ NDVI 8mar04.jpg|thumb|center|200px]]NDVI - Jan. 25, 2006
 
|-
 
|-
| [[Image:MZ landsat 6jan05.jpg|thumb|center|200px|Landsat TM5 6jan05]]<br>  
+
| [[Image:MZ landsat 6jan05.jpg|thumb|center|200px]]Landsat Image - June 1, 2005<br>  
| [[Image:MZ NDVI 6jan05.jpg|thumb|center|200px|NDVI 6jan05]]<br>
+
| [[Image:MZ NDVI 6jan05.jpg|thumb|center|200px]]NDVI - June 1, 2005
 
|-
 
|-
| [[Image:MZ landsat 25jan06.jpg|thumb|center|200px|Landsat TM5 25jan06]]  
+
|  
| [[Image:MZ NDVI 25jan06.jpg|thumb|center|200px|NDVI 25jan06]]
+
[[Image:MZ landsat 25jan06.jpg|thumb|center|200px]]
 +
 
 +
Landsat Image - Aug. 3, 2004
 +
 
 +
|  
 +
[[Image:MZ NDVI 25jan06.jpg|thumb|center|200px]]
 +
 
 +
NDVI - Aug. 3, 2004
 +
 
 
|}
 
|}
  
 
<br>  
 
<br>  
  
These images are integrated by analyzing each cluster, defining homogeneous production areas, and obtaining the productivity map. [[Image:MZ management zone map.jpg|frame|left|500px|Management Zone Map]]  
+
These images are integrated by analyzing each pixel, defining homogeneous production areas, and obtaining the productivity map. [[Image:MZ management zone map.jpg|frame|left|500px]]  
  
 
<br>  
 
<br>  
Line 64: Line 71:
 
<br>  
 
<br>  
  
<br>
+
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? ==
  
== 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.  
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.
+
  
 
[[Category:Productivity_maps]]
 
[[Category:Productivity_maps]]

Revision as of 22:30, 17 September 2012

.

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.