Land cover of Bangladesh for the year 2015 based on SPOT 6m multispectral image segmentation and interpretation. Land cover classes are defined using Land Cover Classification System (LCCS) and are based on the National Land Representation system (NLRS).

Data source: Bangladesh Forest Information System

Part of the Integrated Vulnerability Assessment in the Arab Region, this 1km pixel resolution raster dataset provides a representation of Sensitivity to climate change impact for the Natural dimension indicator – Land Use - Land Cover - in the Middle East and North Africa Region. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. The integrated vulnerability assessment methodology is based on an understanding of vulnerability as a function of a system’s climate change exposure, sensitivity and adaptive capacity to cope with climate change effects, consistent with the approach put forward by the Intergovernmental Panel on Climate Change (IPCC) in its Fourth Assessment Report (AR4). Within this conceptual framework, Sensitivity provides information about the status quo of the physical and natural environment that makes the affected systems particularly susceptible to climate change. Sensitivity indicators were clustered into three dimensions: population, natural, and manmade. Within the vulnerability assessment methodology, it is assumed the indicators retain the same values for reference period and future periods. A class value of 1 was assigned to represent a favorable condition (low sensitivity) while a class value of 10 designates an unfavorable condition.