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|Title:||Imaging spectroscopy and grass phosphorous concentration in an African savanna||Contributor(s):||Onisimo, Mutanga (author); Kumar, Lalit (author)||Publication Date:||2006||Handle Link:||https://hdl.handle.net/1959.11/4703||Abstract:||The remote sensing of foliar phosphorus has received very little attention as compared to nitrogen, yet it plays an equally critical role in explaining the distribution and feeding patterns of herbivores. Our objective was to map grass phosphorous concentration in a savanna rangeland using hyperspectral remote sensing. Band depths from two continuum-removed absorption features as well as the red edge position were input into a backpropagation neural network. Following a series of experiments to ascertain the optimum wavelengths, the best trained neural network was used to predict and ultimately to map grass phosphorous concentration in the Kruger National Park. Results indicate that, the best trained neural network could predict phosphorous distribution with a high accuracy. The study demonstrates the potential of imaging spectroscopy in mapping grass phosphorous concentration in savanna rangelands.||Publication Type:||Conference Publication||Conference Name:||6th International Conference on Earth Observation & Geoinformation Sciences in Support of Africa's Development, Cairo, Egypt, 30 October - 2 November 2006||Conference Details:||6th International Conference on Earth Observation & Geoinformation Sciences in Support of Africa's Development, Cairo, Egypt, 30 October - 2 November 2006||Source of Publication:||Proceedings of the 6th International Conference on Earth Observation & Geoinformation Sciences in Support of Africa's Development, p. 1-8||Publisher:||NARSS: National Authority for Remote Sensing and Space Science & AARSE: African Association of Remote Sensing of the Environment||Place of Publication:||Cairo, Egypt||Field of Research (FOR):||090905 Photogrammetry and Remote Sensing||HERDC Category Description:||E3 Extract of Scholarly Conference Publication||Other Links:||http://www.eepublishers.co.za/view.php?sid=3760||Statistics to Oct 2018:||Visitors: 113
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School of Environmental and Rural Science
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