Deforestation Monitoring for REDD
Deforestation Monitoring for REDD (Reducing Emissions from Deforestation and Forest Degradation).
A REDD pilot project was initiated in Cameroon under the auspices of the Commission des Forêts d'Afrique Centrale - Central African Forestry Commission- (COMIFAC), as a prototype for the region. This pilot aims at developing a framework for establishing baseline projections of emissions caused by deforestation, (using Earth Observation for mapping deforestation) combined with regional projections of degradation nested in the wall-to-wall approach. Preliminary methodological testing in the transition zone between tropical evergreen forest and savannah in Cameroon has been completed and a roll-out phase is now being implemented based on these results. Multi-temporal optical mid-resolution data (Landsat from 1990 and 2000; DMC 2005) was used for the forest mapping in the test area. The method involves a series of processing steps which can be divided into three categories: (1) pre-processing steps including cloud masking, geometric and radiometric adjustment as well as topographic normalization; (2) forest masking employing a hybrid approach including automatic multi-temporal segmentation, classification and manual correction and finally (3) land cover classification of the deforested areas based on spectral signature analysis. The classification of both deforestation and degradation as well as the land cover classification requires detailed knowledge of the vegetation patterns. This information is generated from two sources. The first source is the very high spatial resolution satellite data, e. g. Quickbird or Ikonos, the second source is in-situ field data. The training of local counterparts in collection of valuable field data is an integral part of the technology transfer process in the REDD pilot
Begin & End of Project
Project duration 2007 - 2010