NCEO Manaus forest aboveground biomass map 2014 v1.0
The NCEO Kenya forest aboveground biomass map shows aboveground woody biomass (AGB) in Kenyan forests. Forest areas include vegetated wetlands and wooded grassland for the year 2015. The map was generated by combining field inventory plots (KFS) with Advanced Land Observing Satellite (ALOS-2), Phased Array type L-band Synthetic Aperture Radar (PALSAR-2) and multispectral optical data (NASA Landsat 8), by means of a Random Forests algorithm within a k-Fold calibration/validation framework.
The characterization of carbon stocks and dynamics at the national level is critical for countries engaging in climate change mitigation and adaptation strategies. However, several tropical countries, including Kenya, lack the essential information typically provided by a complete national forest inventory. These data were produced by the National Centre for Earth Observation (NCEO), University of Leicester, in collaboration with the Kenya Forest Service (KFS) with funding from the NCEO ODA Programme.
Known Issues: Residual scan line corrector (SLC) effects due to the use of the SLEEK land cover product as a retrieval mask (derived from Landsat imagery) are visible in some areas
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Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Validated by the NCEO University of Leicester project team
|PALSAR-2||Deployed on: ALOS-2|
|Landsat 8 Operational Land Imager (OLI) and Thermal InfraRed Sensor (TIRS)||Deployed on: Landsat 8|
Computation Element: 1
|Title||NCEO Aboveground Biomass Map v21 2015|
|Abstract||Algorithm / method The map shows aboveground woody biomass (AGB) in Kenyan forests. The map was generated by combining field inventory plots (KFS) with L-band SAR (JAXA ALOS-2 PALSAR-2) and multispectral optical data (NASA Landsat 8), by means of a Random Forests algorithm within a k-Fold calibration / validation framework. Training dataset Forest inventory dataset collected consisting of 30 m diameter plots gathered in 4-plot clusters. The AGB pools measured were trees, bamboos and lianas. Pantropical allometries (1) were used to estimate AGB. A few plots with extremely large AGB (potentially due to the small plot size) were excluded (>98 percentile) Spatial data inputs ALOS-2 PALSAR-2 dual-polarization (2015) and Landsat 8 Surface Reflectance (2015±1)|