Melvin Wong and Ingrid Dallmann presented “Geospatial impact evaluation of the KfW and the AFD conservation portfolio on forest cover loss” in the Symposium organised by the Independent Evaluation Group (IEG) of the World Bank, on April 11, 2024. They showcased an innovative approach to monitoring and evaluating land conservation projects in Latin America (KfW) and Africa (AFD).
The use of open-source and remote sensing data, analyzed with the mapme.biodiversity package, demonstrates a robust method for assessing the impact of conservation efforts on forest cover.
This was a great opportunity to show an example of collaboration between the KfW and the AFD in the frame of the Geo4Impact program, and to meet other experts on geospatial evaluation of development projects. Recordings of the various presentations are available in the link above.
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KfW is progressing on its work to create a curated collection of free and open data portals to enable our staff and partners to better use open data for project planning, monitoring and evaluation.
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KfW supports the development of the Open Source R package mapme.biodiversity. The package is written in R and published on CRAN. It is used by analysts to process big geospatial data efficiently.
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Melvin Wong and Ingrid Dallmann presented “Geospatial impact evaluation of the KfW and the AFD conservation portfolio on forest cover loss” in the Symposium organised by the Independent Evaluation Group (IEG) of the World Bank, on April 11, 2024.
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We are excited to announce the launch of the BETSAKA project, an initiative to assess the environmental and socio-economic impacts of protected areas in Madagascar from 2000 to 2024.
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Within the context of the MAPME initiative, CartONG is currently developing open-source processing routines to access data from Open Street map to automatically download, subset and process energy infrastructure data.
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Members from the Steering Committee of MAPME are delighted to announce the validation of the Community Strategy.
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KfW is currently starting an effort to update and complement georeferencing the protected areas portfolio.
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KfW is working on an update of the Open Project Location Model. The Open Project Location Model is a data model to systematically collect location-specific information in projects supported by international development cooperation in a structured way.
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We are thrilled to introduce you to the next chapter in our journey: the technical relaunch of our MAPME website.
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Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
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Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
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How satellite Earth observation and in-situ data help to monitor agricultural production in the Senegal Delta.
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