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Limpopo MODIS Above Ground Herbaceous Biomass (gC/sq.m)

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Citation (What is it about and who created it or owns it)
Title Limpopo MODIS Above Ground Herbaceous Biomass (gC/sq.m)
Publication Date2015
PublisherDepartment of Environmental Affairs (DEA)
Creator (Author/ Responsible Party) CSIR , Affiliation: Meiring Naudé Road, Brummeria, Pretoria, South Africa
Contributor HostingInstitution : South African Environmental Observation Network , Affiliation: SAEON - National Office, PO Box 2600, Pretoria, 0001, South Africa
Permanent Identifier 10.15493/DEA.CARBON.10000012 (DOI)
Online Resources
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Usage, Restrictions, Caveat
Licencing and Usage Rights Composite or Custom License ( http://noframe.data.dirisa.org/platform/policy-and-licenses/composite-license-carbon-atlas )
Methodology
Above Ground Herbaceous Biomass (AGBherb) (MODIS version) is predominantly grasses, but also forbs, restios, sedges. It is based on the relationship between biomass (dry matter) and the leaf area index (LAI) using field data collected in the Lowveld region. The power empirical model based on LAI explained about 62% of variation and the model is as follows; ABGherb (gC/sq.m) = 264.37 x LAI^0.6374 The first step was to determine the maximum or peak productivity, as determined by the maximum biomass values in the month of January and February, based on the 13 year MODIS time series biomass data generated by CSIR. Finally, the ABGherb was determined by deriving the half of the averaged computed biomass, and to determine herbaceous carbon content (gC/sq.m, resulting biomass values were multiplied by 0.5. Units: gram of biomass (herbaceous) per square meter at 500m x 500m resolution
Data Dictionary/ Schema
Dictionary URL or Schemahttp://datacite.org/schema/kernel-3
Coverage (Main Dimensions of the Data)
Start Date2001
End Date2014
Date ( Accepted )
Date ( Issued )
Subjects Herbaceous biomass
Subjects leaf area index (LAI)
Subjects MODIS
Metadata Elements
Metadata Standarddatacite
Repository SA Carbon Sinks Atlas
Technical Data Set Parameters
Languageeng
Data Representationon
Spatial Coverage
Data Set Versions and Relationships