Training on Land Cover Classification for REDD+ in Bangladesh


A training workshop on Land Cover Classification in the Context of REDD+ in Bangladesh was held in Dhaka, 24–25 March. This workshop cum training, organized by the Forest Department of Bangladesh and the Food and Agriculture Organization of the United Nations (FAO) under the UN-REDD Programme, focused on outlining different classification systems and constraints related to the harmonization of available data related to and making recommendations for a classification system in line with United Nations Framework Convention on Climate Change (UNFCCC) decisions and Intergovernmental Panel on Climate Change (IPCC) guidelines. The workshop resulted in the development of a harmonized classification system  in line with IPCC guidelines. Following the inaugural session chaired by Md Yunus Ali, Chief Conservator of Forests, Kabir Uddin, GIS and Remote Sensing Analyst at ICIMOD, made a presentation on land cover mapping in the Hindu Kush Himalayan region, with a focus on Bangladesh. 

Several possibilities for further collaboration with ICIMOD in Bangladesh were noted, including:

  • capacity building workshop on land cover classification in the context of REDD+;
  • replication of the forest fire SMS alert system; and
  • eCognition-based land cover mapping training for the Mekong River Commission.