Bhutan land use/land cover 2016

Bhutan land use/land cover 2010

**Table content** - Year - Indicator - Field Management - Value - Flag - Unit

Land Use Map of the Philippines (1 000 000)

Source: National Forest Resources Monitoring and Assessment of Tanzania (NAFORMA). 2015. Ministry of Natural Resources and Tourism, Tanzania. Methodology: For more information on the Land Use Land Cover Map, and to download a pdf version of the map, please visit the NAFORMA website - http://naforma.mnrt.go.tz/map

**Table content** - Year - Indicator - Value - Flag - Unit

Forest Cover Map 2000 This Map shows the forestcover in the year 2000 It has been produced by the Forest Cover Monitoring Unit which is established within SBB. This map was made with use of Landsat Imagery.

These datasets are the main products of the National Land Use Land Cover (LULC) mapping for each epoch done by National Forestry Authority. They represent Uganda's LULC classified into 13 main classes and sub-classes according to the National Biomass Study (NBS) classification system. The NBS classification system was designed to be robust with capacity to store data on Land cover, Biomass and Wetness. Datasets available are 1990, 2000, 2005, 2010, 2015 and 2017.

These datasets are the main products of the National Land Use Land Cover (LULC) mapping for each epoch done by National Forestry Authority. They represent Uganda's LULC classified into 13 main classes and sub-classes according to the National Biomass Study (NBS) classification system. The NBS classification system was designed to be robust with capacity to store data on Land cover, Biomass and Wetness. Datasets available are 1990, 2000, 2005, 2010, 2015 and 2017.

These datasets are the main products of the National Land Use Land Cover (LULC) mapping for each epoch done by National Forestry Authority. They represent Uganda's LULC classified into 13 main classes and sub-classes according to the National Biomass Study (NBS) classification system. The NBS classification system was designed to be robust with capacity to store data on Land cover, Biomass and Wetness. Datasets available are 1990, 2000, 2005, 2010, 2015 and 2017.