The Global Climate Risk Index 2020 analyses to what extent countries and regions have been affected by impacts of weather-related loss events (storms, floods, heat waves etc.). The most recent data available - for 2018 - were taken into account in this map. Source: The Climate Risk Index is based on data from Munich RE. Germanwatch

Data source: Bangladesh Forest Information System

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).

The dataset represents the tree cover of Bangladesh. Trees and forests play a vital role in providing livelihood to the people living around forests. Forestry sector contributed to 3% of country’s GDP. However, GDP calculation does not take into consideration forestry contribution in term of energy, fodder, small timber and poles, thatching grass, medicinal herbs, and other forestry products. Data source: Bangladesh Forest Department

In 2015, the Bangladesh Forest Department, with technical support from FAO, and financial support from USAID, launched the project “strengthening National Forest Inventory and Satellite Land Monitoring in Support of REDD+ in Bangladesh”. Through this project, a robust and modern national forest monitoring system was developed, using the latest FAO tools such as Open Foris and LCCS to collect about 2000 permanent field inventory plots and over 6000 household surveys all over the country, integrating biophysical and socio-economic data and information.

In 2015, the Bangladesh Forest Department, with technical support from FAO, and financial support from USAID, launched the project “strengthening National Forest Inventory and Satellite Land Monitoring in Support of REDD+ in Bangladesh”. Through this project, a robust and modern national forest monitoring system was developed, using the latest FAO tools such as Open Foris and LCCS to collect about 2000 permanent field inventory plots and over 6000 household surveys all over the country, integrating biophysical and socio-economic data and information.

Land suitability analysis map provides information about land suitability for different landscape restoration activities. In Cox’s Bazar, socio-economic and biophysical information about wood fuel demand and supply were used to assess gaps and needs in support to safe access to fuel and energy as well as to sustainable land degradation. Source: Bangladesh Forestry Department, FAO, IOM

The dataset represents population density calculated based on FAOSTAT data 2017.

This dataset displays the countries that have made used of the Open Foris tools for the national forest monitoring. Open Foris is a free open-source software launched by FAO for environmental monitoring. It consists of a set of tools which facilitate flexible and efficient data collection, analysis and reporting and developed in collaboration with countries. These tools can be used for a wide range of monitoring purposes such as forest inventories, climate change reporting, socio-economic surveys, biodiversity assessment, land use and forestry measurement and deforestation monitoring with remote sensing. Bangladesh, among other countries, took advantage from the use of the Open Foris platform for the creation of critical information on forest and land, enhancing the country’s efforts to mitigate and adapt to climate change and contributing to investment plans.

Source: WRI (World Resources Institute) Forest Atlas