
Super User
Support EO-driven forest and carbon monitoring in Central Africa for REDD – REDDiness
As part of international efforts to combat global warming, preserving Africa's forest is a part of the solution to the climate change challenge. Reducing Emissions from Deforestation and forest Degradation (REDD) negotiations for climate change mitigation aim to better manage our global forest resources.
Carbon Map & Model
Avec l'appui de l'Initiative Internationale pour le Climat (ICI) du Ministère Fédéral Allemand de l’Environnement, de la protection de la Nature et de la Sécurité Nucléaire (BMU), la Banque de Développement KFW, le projet Carbon Map and Model (CM&M) de Fond Mondial pour la Nature « WWF» a pour objectif principal la réalisation de la carte de carbone forestier de la R.D Congo en combinant les données LiDAR, d'inventaires forestiers et les images satellitaires. Cette carte permettra d'évaluer quantitativement le taux de biomasse forestière en RD Congo pour appuyer le programme national de la REDD+.
Mapping services
As part of its activities to promote the use of satellite data and related mapping techniques in improved natural resource management and sustainable development, OSFAC is available to provide technical assistance in GIS and remote sensing.
Other services
Due to OSFAC’s significant experience in the area of cartography and remote sensing, it is common for OSFAC to receive requests for a wide variety of “other services”. Typically, these are services that do not directly fall into our primary activities, but are within our area of interest or expertise, such as installing cartography labs, carrying out surveys on available spatial data, creating methodologies for various data collection initiatives, working to build databases and establish monitoring protocols, etc.
Balance training from 2005 to 2010
Since its inception, OSFAC provides Capacity building countries of Central Africa in Geographic Information Systems (GIS), Remote Sensing and GPS as well as technical support to all institutions that request. 869 persons, separately, from the universities (mainly the University of Kinshasa where the GIS Laboratory OSFAC is installed), national agencies, CARPE partners and international agencies have benefited from one or more training sessions with the OSFAC.
Internships
OSFAC runs a competitive internship program in GIS and remote sensing, which accepts a limited number of both academic and professional interns. Interns are accepted in a revolving fashion based on the availability of positions and are based at the OSFAC GIS/RS lab at the University of Kinshasa. The length of internships is determined individually by OSFAC depending on the intern’s proposed objectives. All OSFAC internships are unpaid.
Training modules & pricing tables
$500
per 3 days
$750
per 5 days
- Introduction to GIS (?)
- Introduction to ArcView 3
- Management of vector data
- Extensions of Arcview 3
- Presentation of information / Layout
- Tabular data management
- Creating and editing vector data
- -
$800
per 5 days
- Overview of GIS
- Basics of ArcGIS
- Applications ArcMap, ArcCatalog, ... (?)
- Working with Spatial Data
- Data Presentation / Layout
- Projection vector features
- Creation and updating of vector features
- Work with tabular data (descriptive attributes)
$1,250
per 5 days
- Introduction to Remote Sensing
- Active and passive remote sensing
- ERDAS / ENVI Menu Toolbar
- Opening and viewing an image
- Import generic formats of images
- Combination of bands
- Colored composition
- Make a mosaic
- ...
$200
per 2 days
- Introduction to GPS
- Operation
- Field applications
- GPS coordinates recovery
- ...
OSFAC-DMT Desktop
Training : General information
One of the main activities of the Observatoire Satellital des Forêts d'Afrique Centrale (OSFAC) is capacity building in the use of satellite data and mapping techniques for the sustainable management of natural resources.
FACET Gabon
This atlas was produced as a part of the OSFAC (Observatoire Satellital des Forêtsd'AfriqueCentrale) initiative “Monitoring the forests of Central Africa using remotely sensed data sets” (FACET in French).