Data Lab Sandbox

icf_hnd_forest_type_2013

created_on

2023-05-04T13:11:58.897148

updated_on

2023-05-04T13:11:58.897150

spatial_resolution

5

resolution_description

geographic_coverage

Honduras

update_frequency

scale

national

citation

National Institute of Conservation and Forest Development, Protected Areas, and Wildlife (ICF). “Honduras forest type”. Accessed through Global Forest Watch on [date] www.globalforestwatch.org

title

Honduras forest type

source

National Institute of Conservation and Forest Development, Protected Areas, and Wildlife ([ICF](http://www.icf.gob.hn/))

license

data_language

Espanol

overview

This data set is Honduras’ first high-resolution forest and land cover map, produced by the Honduran government agency ICF (National Institute of Conservation and Forest Development, Protected Areas, and Wildlife) with the technical and financial support of [Project REDD/CCAD-GIZ](http://www.reddccadgiz.org/). RapidEye satellite imagery from 2013 was acquired and analyzed to produce a map of the spatial distribution of forest types within the country. In addition to mapping of eight different forest types, the map also portrays the extent and distribution of fifteen categories of human land use. In contrast to earlier forest maps of Honduras, this version expands on other categories of wooded vegetation, including secondary vegetation, coffee and agroforestry areas, and information on trees outside of forests. Pastures and agricultural fields are also aggregated into one category and comprise the second largest land cover class.

function

Identifies forest type and land cover in Honduras

cautions

The validation of the map was done using field data as well as through a grid of control points spread 3 km apart for the entire country (15,777 points total). The overall accuracy of the map was determined to be 90.9% over all 26 categories, with an accuracy of 95% for the eight forest classes. The administrative boundaries of the basemap are from Open Street Map and only used to coordinate with other layers in the map.

key_restrictions

tags

Country data

why_added

Understanding the spatial distribution of forest type is important for monitoring deforestation, as defined by national governments

learn_more

id

9a334aee-b4b9-4655-88df-13a2fd1bf4db

Is downloadable?

Yes

Versions

v2013