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Globam

Description

Globam

Global Agricultural Monitoring systems by integration of EO and modelling techniques
Contact  Herman Eerens Start (End) Date  01/03/2007 
 (30/06/2011)
Consortium  5 partners Project Coordination  UCL
Website          www.passeplat.agro.ucl.ac.be (new window) Related Projects  MARSOP-2,
 ASEMARS, GMFS
 Huabei-CGMS
Keywords  crop monitoring, yield estimates, area estimates 

 

Project Objectives
The GLOBAM project deals with a number of R&D requirements related to the use of EO in operational systems for agricultural monitoring as made by the IGOL team, a group of +/-30 international experts representing organisations with a mandate in agricultural monitoring and experts involved in related R&D activities, in the context of GEOSS.GLOBAM focuses on:

  • Development/adjustment of methods for crop yield and area estimation for use in global operational systems for agricultural monitoring, taking advantage of state-of-the-art research findings.
  • Wide-scale validation in different regions of the world (N-Europe, China, Ethiopia) to test the performance of the improved system over large areas and in different agro-ecological zones.

(Expected) Results
Improved methods for crop yield and area estimation for use in global operational systems for agricultural monitoring.

VITO Contribution

  • crop area estimation, testing of 3 methods:
    1) classification of wide-swath HR images (DMC, Awifs),
    2) sub-pixel classification of MR images and
    3) model-based classification
  • wide-scale validation exercise
  • design and testing of synthetic crop production indicators
  • compare the performance of the new approach with existing operational systems

Partners

  • UCL (Belgium)
  • ULg Belgium)
  • KMI (Belgium)
  • Alterra (the Netherlands)
  • EC-JRC, MARS-FOODSEC (Italy)

Illustration



Crop map of southern Belgium derived by means of a hard classification of Landsat7-ETM+ images of the year 2007. VITO developed a method to solve the missing value problem (shown as black lines in the ETM+ images).


Contact:


Herman Eerens
Tel. + 32 14 33 68 72
Fax + 32 14 32 27 95
Mobile + 32 477 41 62 02
Send a message to Herman Eerens


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