Training Material & Software

Based on the missing capacities and key actors identified during the requirement analysis (WP2), the regional cooperation program is reinforced by an ad-hoc training plan. Two intensive  training sessions were given to participants of both countries : the first session took place in July and the second in December 2012.

The remote sensing module developed included the following notions:
  • General review of remote sensing principles
  • Applied methods in remote sensing to monitor vegetation cover
  • Inventories of optical and radar data for monitoring vegetation cover
  • Review of the different types of classification
  • Image processing based on data available to the project
  • Using a free software of image processing ('Monteverdi-1.10, Spring) for monitoring of vegetation cover
  • Using GPS and integration of data in a GIS
The second training session focused on (1) the presentation of project activities and main products and a discussion with the users from Congo, Gabon and DRC; (2) technical training on the solutions developed during the WP3 including the data and the appropriated tools.The technical presentations were given in 4 days by the experts in charge of the data processing i.e. ITC, EUROSENSE and OSFAC. The sessions included data and methods presentation as well as practical exercises on the forest monitoring. Three main topics were adressed:
  • Landsat & NDFI method
  • Radar multi-date and multi sensors & visual analysis
  • VHR optical & segmentation object-oriented

Training material used for the first session(in french):
  • Remote sensing principles : course and exercises.
  • Basis in remote sensing: available here in pdf format.
  • Lab - using GPS : available here.

Softwares used :
  • Open source :
        - Monterverdi 1.10 : Download here
        - Spring : Download here
        - Nest 4C : download here
  • Commercial :
      - ArcGIS : Information here
      - Envi : Information here

Support Central Africa in Earth Observation driven forest monitoring for REDD
This project is partially funded by the European Commission Seventh Framework Programme. The project reflects only the author’s views and the Community is not liable for any use that may be made of the information contained herein.
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