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Remote sensing of water stress in fynbos vegetation

I aim to determine whether or not remote sensing, through multispectral, satellite and digital photography, is a feasible and accurate method for determining drought stress in Fynbos vegetation. I hypothesize that (1) water stress in fynbos is detectable with the use of a remote sensing index, namel...

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Main Author: Beckett, Heath
Other Authors: West, Adam G
Format: Thesis
Language:English
Published: Department of Biological Sciences 2017
Subjects:
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access_status_str Open Access
author Beckett, Heath
author2 West, Adam G
author_browse Beckett, Heath
West, Adam G
author_facet West, Adam G
Beckett, Heath
author_sort Beckett, Heath
collection Thesis
description I aim to determine whether or not remote sensing, through multispectral, satellite and digital photography, is a feasible and accurate method for determining drought stress in Fynbos vegetation. I hypothesize that (1) water stress in fynbos is detectable with the use of a remote sensing index, namely NDVI and (2) that the remotely sensed trends will correlate with ground truth measures of water stress.
format Thesis
id oai:open.uct.ac.za:11427/25902
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:28.055Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Department of Biological Sciences
publisherStr Department of Biological Sciences
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/25902 Remote sensing of water stress in fynbos vegetation Beckett, Heath West, Adam G Smit, Julian Botany Plant Ecology I aim to determine whether or not remote sensing, through multispectral, satellite and digital photography, is a feasible and accurate method for determining drought stress in Fynbos vegetation. I hypothesize that (1) water stress in fynbos is detectable with the use of a remote sensing index, namely NDVI and (2) that the remotely sensed trends will correlate with ground truth measures of water stress. 2017-10-30T10:46:19Z 2017-10-30T10:46:19Z 2010 2017-02-20T09:37:17Z Bachelor Thesis Honours BSc (Hons) http://hdl.handle.net/11427/25902 eng application/pdf Department of Biological Sciences Faculty of Science University of Cape Town
spellingShingle Botany
Plant Ecology
Beckett, Heath
Remote sensing of water stress in fynbos vegetation
thesis_degree_str Bachelor's / Honours
title Remote sensing of water stress in fynbos vegetation
title_full Remote sensing of water stress in fynbos vegetation
title_fullStr Remote sensing of water stress in fynbos vegetation
title_full_unstemmed Remote sensing of water stress in fynbos vegetation
title_short Remote sensing of water stress in fynbos vegetation
title_sort remote sensing of water stress in fynbos vegetation
topic Botany
Plant Ecology
url http://hdl.handle.net/11427/25902
work_keys_str_mv AT beckettheath remotesensingofwaterstressinfynbosvegetation