Support EO-driven forest monitoring in Central Africa · mainly national and regional, only 25%...
Transcript of Support EO-driven forest monitoring in Central Africa · mainly national and regional, only 25%...
The state of the art of REDDiness refers to (i) the review of existing initiatives in the Congo Basin and (ii) the survey of users’ requirements. The quantitative survey was carried out in both countries to measure needs, interest and awareness regarding EO-based products for REDD. Eight survey participants among 26 were identified as most relevant for the in-depth quantitative analysis based on their technical understanding defined by : (i) knowledge of EO techniques, (ii) completeness and coherence of responses.
Workflow of REDDiness : from Congolese and Gabonese user requirements to REDD world
The focus on “forest degradation” for REDDiness is the outcome of a detailed decision process in the consortium. The figure summarizes the relevant choices to be made by REDD projects (or countries) when deciding on starting up an earth observation strategy. The agreed aim of REDDiness is to evaluate the effectiveness of different types of satellite imagery in detecting and monitoring forest degradation.
Such an evaluation is urgently needed given: 1) the importance of forest degradation in REDD 2) the difficulty to assess forest degradation due to spatial size and pattern 3) the limited time frame in which to detect degradation (quick regeneration) 4) the frequent cloud cover in both countries limiting optical image acquisition.
The second phase of REDDiness focuses on the capacity building of GIS, remote sensing practices and field analysis. The EO monitoring and capacity building plans will be combined to otimise the transfer of knowledge in collaboration with other regional initiatives. On the long term, the two local partners of REDDiness (MEF and CNIAF) would be the key contacts for REDD national training.
Support EO-driven forest monitoring in Central Africa
Preserving African forest contributes to the Global climate change challenge. Earth Observation (EO)
techniques are essential tools in monitoring forest changes and supporting REDD (Reducing Emissions from Deforestation and forest Degradation).
REDDiness is an FP7 project, and is partially funded by the European commision. 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.
“What are the 3 most importants EO techniques in your national REDD strategy?”
Criteria to define the technical understanding and select the 8 best REDDiness end-users
Interests and needs of training in EO techniques for forest and carbon monitoring
Management levels of Congolese and Gabonese institutions: mainly national and regional, only 25% have a continental or international vision
Traditional houses in Swaziland.
Scenario of EO monitoring for REDDiness : “forest degradation in cloudy region”
REDD
knowledge
Completeness
(/23 questions)
Consistency Total
(%)
REDD
project
Pol.
(/5)
Scient.
(/5) Set (/2) Link
(/1)
Congo
CNIAF 3 3 23 2 1 87% Yes
OCDH 5 4 22 1.5 0.5 79% Yes
CERGEC 3 4 23 1 1 85% No
CIB 2 3 23 2 1 87% No
Gabon
IRSH 4 5 23 2 0.5 92% No
MEF-Bois 2 3 22 2 1 85% Yes
MEF-Aqua 3 3 23 2 1 87% No
IRET 3 3 23 2 1 87% No
Way to define the optimal EO monitoring methods (WP3) for REDDiness
Four main profiles of survey participants: Natural resources management / Education / Administration/ NGO’s
Selection of REDDiness focus by surveying 4 main questions within the consortium
Users requirement analysis
EO monitoring solutions
Capacity building
Stephenne N.*, Delloye C.*, Rahm M.*, Mertens B.**, Vrieling A.***
* Eurosense, Wemmel, Belgium; [email protected] **Institut de Recherche et Développement, France
***Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands
REDDiness is a Specific International Cooperation Action (SICA) to reinforce collaboration between Africa and Europe. Lead by EUROSENSE, it aims to develop and share up-to-date EO techniques for measuring, reporting and verifying (MRV) systems of REDD. To complement existing expertise and projects in the Congo Basin, REDDiness focuses on “EO-based assessment of forest degradation in the cloudy regions of Gabon and the Republic of Congo”.
REDDiness
Survey results identify the expected EO techniques for REDD (see figure aside) and show that skills and technical resources regarding the use of EO software and data are very limited. The low level of knowledge about REDD and MRV implementation confirms the need for capacity building on REDD/REDD+ and forest monitoring in the countries involved.
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