NERC Data Catalogue Service
NCEO Kenya forest aboveground biomass map 2015 v21.0
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
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2021-05-14T13:03:44
- Dataset Reference Date ()
- 2021-05-14T13:03:44
- Identifier
- NERC EDS Centre for Environmental Data Analysis / 653fdd814dba4103a301221955781e35
- Maintenance and update frequency
- unknown
- Update scope
- dataset
- Keywords
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- NCEO
- AGB
- Biomass
- Kenya
- forest
- vegetated wetlands
- wooded grassland
- GEMET - INSPIRE themes, version 1.0 ()
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- orthoimagery
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Imagery base maps earth cover
))
- Begin date
- 2015-01-01T00:00:00
- End date
- 2015-01-31T00:00:00
- Code
- WGS 84
Distribution Information
- Data format
-
-
GeoTiff
Pixel type: unsigned integer
Pixel Depth: 16 Bit NoData Value: 65535
()
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- Resource Locator
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CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
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Chave et al., 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests
No further details.
- Resource Locator
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Pekel et al., 2016. High-resolution mapping of global surface water and its long-term changes. Nature, 540, 418-422
No further details.
- Resource Locator
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Mitchard et al., 2011. Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest–savanna boundary region of central Africa using multi-temporal L-band radar backscatter. Remote Sensing of Environment, 115, 2861-287
No further details.
- Resource Locator
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Chave et al., 2004. Error propagation and scaling for tropical forest biomass estimates. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359, 409-420,
No further details.
- Resource Locator
-
Réjou-Méchain et al., 2014. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks. Biogeosciences, 11
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Chave et al., 2005. Tree allometry and improved estimation of carbon stocks and balance in tropical forests
No further details.
- Resource Locator
-
Pekel et al., 2016. High-resolution mapping of global surface water and its long-term changes. Nature, 540, 418-422
No further details.
- Resource Locator
-
Mitchard et al., 2011. Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest–savanna boundary region of central Africa using multi-temporal L-band radar backscatter. Remote Sensing of Environment, 115, 2861-287
No further details.
- Resource Locator
-
Chave et al., 2004. Error propagation and scaling for tropical forest biomass estimates. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359, 409-420,
No further details.
- Resource Locator
-
Réjou-Méchain et al., 2014. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks. Biogeosciences, 11
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Metadata
- File identifier
- 653fdd814dba4103a301221955781e35 XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2022-05-26T23:51:14
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
