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Dataset

 

NCEO Manaus forest aboveground biomass map 2014 v1.0

Status: Completed
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

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

Citable as:  [ PROVISIONAL ] Rodriguez-Veiga, P.; Balzter, H.; Ndambiri, J. (9999): NCEO Manaus forest aboveground biomass map 2014 v1.0. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/c7aa24fb8d5c458daefdf0f4410ba830/
Abbreviation: Not defined
Keywords: NCEO, AGB, Biomass, Kenya, forest, vegetated wetlands, wooded grassland

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Please contact the data centre for details on how to access these data.
For data use licensing information please contact:
support@ceda.ac.uk

Data lineage:

Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
Validated by the NCEO University of Leicester project team
File Format:
Not defined

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

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)
Input Description None
Output Description None
Software Reference None
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
2015-01-01T00:00:00
End time:
2015-01-31T00:00:00
Geographic Extent

 
4.6200°
 
33.9090°
 
41.8990°
 
-4.8995°