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Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery

Dissertation (MSc)--University of Pretoria, 2018.

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Other Authors: Cho, M.A.
Format: Thesis
Language:English
Published: University of Pretoria 2019
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access_status_str Open Access
author2 Cho, M.A.
author_browse Cho, M.A.
author_facet Cho, M.A.
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2018.
format Thesis
id oai:repository.up.ac.za:2263/70579
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:32.074Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/70579 Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery Cho, M.A. gmbhokane@gmail.com Chirwa, Paxie W. Gama, Michael Jabulani UCTD Dissertation (MSc)--University of Pretoria, 2018. Understanding variation in the foliar nutrient among indigenous species of the bushveld is crucial for rural livelihoods, in particular the integration of trees into agroecosystems. The study explored nutrient composition of common browse species with regard to nitrogen (N), phosphorus (P), potassium (K) and calcium (Ca) using leaf spectra (400–2500nm) and chemical data collected from nine bushveld species, along with partial least squares (PLS) analysis. The work further explored the relationship between canopy reflectance of Sentinel-2 image and foliar properties of the identified species. Spectroscopic analysis reveals useful information about nitrogen at leaf and canopy scales whereas modelling reflectance using satellite image did not yield satisfactory results. At the leaf level, nitrogen was highly correlated with leaf spectral reflectance (R2=0.72, p<0.05) for winter and (R2=0.88, p<0.05) for summer. The coefficient of determination for the relationships between leaf reflectance and concentrations of phosphorus, potassium and calcium were low. Modelling the relationship using Sentinel-2 data also showed higher correlations (R2=0.44, p<0.05) for nitrogen compared with the other nutrients investigated. Plant Production and Soil Science MSc Unrestricted 2019-07-08T09:46:55Z 2019-07-08T09:46:55Z 2019/04/24 2018 Dissertation Gama, MJ 2018, Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/70579> A2019 http://hdl.handle.net/2263/70579 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title_full Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title_fullStr Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title_full_unstemmed Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title_short Estimating mineral content of indigenous browse species using laboratory spectroscopy and Sentinel-2 imagery
title_sort estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel 2 imagery
topic UCTD
url http://hdl.handle.net/2263/70579