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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor
Remote Sensing of Environment, Volume 115, No. 6, Year 2011
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Description
Forage quality within an African savanna depends upon limiting nutrients (nitrogen and phosphorus) and nutrients that constrain the intake rates (non-digestible fibre) of herbivores. These forage quality nutrients are particularly crucial in the dry season when concentrations of limiting nutrients decline and non-digestible fibres increase. Using artificial neural networks we test the ability of a new imaging spectrometer (CAO Alpha sensor), both alone and in combination with ancillary data, to map quantities of grass forage nutrients in the early dry season within an African savanna. Respectively 65%, 57% and 41%, of the variance in fibre, phosphorus and nitrogen concentrations were explained. We found that all grass forage nutrients show response to fire and soil. Principal component analysis, not only reduced image dimensionality, but was a useful method for removing cross-track illumination effects in the CAO imagery. To further improve the mapping of forage nutrients in the dry season we suggest that spectra within the shortwave infrared (SWIR) region, or additional relevant ancillary data, are required. © 2011 Elsevier Inc.
Authors & Co-Authors
Knox, Nichola M.
Unknown Affiliation
Skidmore, A. K.
Unknown Affiliation
Prins, Herbert H. T.
Unknown Affiliation
Asner, Gregory P.
Unknown Affiliation
van der Werff, Harald M.A.
Unknown Affiliation
de Boer, Willem F.
Unknown Affiliation
Van Der Waal, Cornelis
Unknown Affiliation
De Knegt, Henrik J.
Unknown Affiliation
Kohi, Edward Mtarima
Unknown Affiliation
Slotow, Robert H.
Unknown Affiliation
Grant, Rina C.C.
Unknown Affiliation
Statistics
Citations: 91
Authors: 11
Affiliations: 7
Identifiers
Doi:
10.1016/j.rse.2011.02.007
ISSN:
00344257