Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data

Grass nitrogen (N) and phosphorus (P) concentrations are direct indicators of rangeland quality and provide imperative information for sound management of wildlife and livestock. It is challenging to estimate grass N and P concentrations using remote sensing in the savanna ecosystems. These areas ar...

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Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing Jg. 82; S. 27 - 40
Hauptverfasser:	Ramoelo, A., Skidmore, A.K., Cho, M.A., Mathieu, R., Heitkönig, I.M.A., Dudeni-Tlhone, N., Schlerf, M., Prins, H.H.T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.08.2013 Elsevier
Schlagworte:	absorption absorption features Animal, plant and microbial ecology Applied geophysics band-depth analysis biochemical content Biological and medical sciences chlorophyll estimation Earth sciences Earth, ocean, space Ecosystem Ecosystems environmental factors Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Grasses grazing intensity humans imaging spectroscopy In situ hyperspectral remote sensing Internal geophysics kruger-national-park land use least squares Least squares method livestock Mathematical models mineral-nutrition multiple linear-regression national parks nitrogen Nitrogen concentrations Nonlinearity normalized difference vegetation index Partial least square regression phosphorus Phosphorus concentrations planning prediction Radial basis neural network rangelands Regression Remote sensing savannas soil soil nutrients south-africa Spectra starch Teledetection and vegetation maps vegetation indexes wildlife management Southern Africa Africa In situ hyperspectral remote sensing Nitrogen concentrations Partial least square regression accuracy human activity nutrients Ecosystem savanna humidity soils performances Anthropogenic factor phosphorus Radial basis neural network nitrogen Browsing remote sensing least-squares concentration Wild life indicators in situ management ecosystems Livestock Phosphorus concentrations
ISSN:	0924-2716, 1872-8235
Online-Zugang:	Volltext
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