The INFORMS Project in the Sangha Tri-National Park
Objectives
- Provide remote sensing and GIS products for wildlife conservation
and forest management
- Monitor logging progression, deforestation, and forest degradation
- Develop remote sensing tools for forest monitoring
Activities
- Mapping vegetation types using Landsat satellite imagery
- Developing indices of logging intensity using satellite imagery
- Evaluating the impact of selective logging on forest canopy for different
forest types using very-high-resolution satellite imagery (i.e. 4-m
IKONOS & QuickBird)
- Conducting Leaf Area Index (LAI) study of different forest types and
logged vs. unlogged forest
Please see the list of products below for further activites in this region.
Products & Applications
- Assessing the accuracy of vegetation mapping using aerial videography—poster (1.8 MB PDF)
- Assessing the rates of deforestation in logging towns—poster (4.5 MB PDF)
- Monitoring the progression of logging through the mapping of logging roads—poster (4.5 MB PDF)
Below is a collection of maps produced by the INFORMS project for northern Congo and the Sangha Tri-National Park. These products have been used by the WCS to model wildlife habitats and conservation threats as well as to support forest management activities and land use planning carries out by CIB and WCS. These products have also been used as base maps by various scientists conducting ecological and socioeconomic research projects in the region.
Select a product to view an enlarged version of each browse image. To
obtain the full resolution products and their metadata files, please contact
Dr. Nadine Laporte.
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| Landsat satellite image mosaic of the 2000's
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Tri-National Park vegetation map |
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| Forest stratification for CIB concessions |
Deforestation mapping in logging towns |
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| Progression of logging roads in Northern Congo |
Future Outlook
In addition to our current activities, we will continue to develop remote
sensing tools for forest monitoring and forest management. Specifically,
in collaboration with CIB, we plan to use very-high-resolution satellite
imagery (i.e. 4-m IKONOS & Quickbird) to assess its newly installed
reduced impact logging (RIL) operation. Other anticipated activities include
(1) integrating commercial forest inventory with remote sensing data and
(2) improving forest mapping using a multi-sensor approach.
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