dc.contributor.author |
Ramoelo, Abel
|
|
dc.contributor.author |
Dzikiti, Sebinasi
|
|
dc.contributor.author |
Van Deventer, Heidi
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|
dc.contributor.author |
Maherry, A
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dc.contributor.author |
Cho, Moses A
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dc.contributor.author |
Gush, Mark B
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|
dc.date.accessioned |
2014-11-18T10:16:45Z |
|
dc.date.available |
2014-11-18T10:16:45Z |
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dc.date.issued |
2014-01 |
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dc.identifier.citation |
Ramoelo, A., Dzikiti, S., Van Deventer, H., Maherry, A., Cho, M.A. and Gush, M.B. 2014. Potential to monitor plant stress using remote sensing tools. Journal of Arid Environments, vol.113, pp 134-144 |
en_US |
dc.identifier.issn |
0140-1963 |
|
dc.identifier.uri |
http://ac.els-cdn.com/S0140196314001815/1-s2.0-S0140196314001815-main.pdf?_tid=e04ee1ce-6b1f-11e4-a48d-00000aacb360&acdnat=1415874718_6102f08643ee7069527b3067290697de
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|
dc.identifier.uri |
http://hdl.handle.net/10204/7781
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|
dc.description |
Copyright: 2014 Elsevier. This is a Pre print version of the work. The definitive version is published in Journal of Arid Environments, vol.113, pp 134-144 |
en_US |
dc.description.abstract |
The growing energy crisis has necessitated the expansion of thermal power stations to meet South Africa's electricity needs. Possessing vast amounts of coal deposits, the Waterberg region of the Limpopo Province is set to undergo rapid transformation as new power stations and coal mines are built, expected to exacerbate water shortages. Detailed baseline information to assess future impacts on key plant species is lacking compromising biodiversity conservation efforts in a region where eco e tourism is a major source of livelihood. In this study we evaluated the spatio e temporal distribution plant status during wet and dry seasons using two measures of plant stress namely the midday leaf water potential (LWP), and leaf nitrogen (N) concentrations. At leaf level, spectral indices such as the moisture stress index (MSI), normalized difference water index (NDWI), and the water index (WI) predicted more than 70% of LWP variation using leaf reflectance data. At landscape level, red edge based simple ratio indices were selected for mapping leaf water potential and leaf N for wet and dry season using RapidEye data. We conclude that remote sensing images can be applied for the long term vegetation monitoring for future biodiversity conservation efforts. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.relation.ispartofseries |
Workflow;13740 |
|
dc.subject |
Leaf nitrogen |
en_US |
dc.subject |
Leaf water potential |
en_US |
dc.subject |
Hyperspectral |
en_US |
dc.subject |
Leaf reflectance |
en_US |
dc.subject |
Plant stress |
en_US |
dc.subject |
RapidEye imagery |
en_US |
dc.subject |
Red edge band |
en_US |
dc.subject |
Vegetation indices |
en_US |
dc.title |
Potential to monitor plant stress using remote sensing tools |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Ramoelo, A., Dzikiti, S., Van Deventer, H., Maherry, A., Cho, M. A., & Gush, M. B. (2014). Potential to monitor plant stress using remote sensing tools. http://hdl.handle.net/10204/7781 |
en_ZA |
dc.identifier.chicagocitation |
Ramoelo, Abel, Sebinasi Dzikiti, Heidi Van Deventer, A Maherry, Moses A Cho, and Mark B Gush "Potential to monitor plant stress using remote sensing tools." (2014) http://hdl.handle.net/10204/7781 |
en_ZA |
dc.identifier.vancouvercitation |
Ramoelo A, Dzikiti S, Van Deventer H, Maherry A, Cho MA, Gush MB. Potential to monitor plant stress using remote sensing tools. 2014; http://hdl.handle.net/10204/7781. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Ramoelo, Abel
AU - Dzikiti, Sebinasi
AU - Van Deventer, Heidi
AU - Maherry, A
AU - Cho, Moses A
AU - Gush, Mark B
AB - The growing energy crisis has necessitated the expansion of thermal power stations to meet South Africa's electricity needs. Possessing vast amounts of coal deposits, the Waterberg region of the Limpopo Province is set to undergo rapid transformation as new power stations and coal mines are built, expected to exacerbate water shortages. Detailed baseline information to assess future impacts on key plant species is lacking compromising biodiversity conservation efforts in a region where eco e tourism is a major source of livelihood. In this study we evaluated the spatio e temporal distribution plant status during wet and dry seasons using two measures of plant stress namely the midday leaf water potential (LWP), and leaf nitrogen (N) concentrations. At leaf level, spectral indices such as the moisture stress index (MSI), normalized difference water index (NDWI), and the water index (WI) predicted more than 70% of LWP variation using leaf reflectance data. At landscape level, red edge based simple ratio indices were selected for mapping leaf water potential and leaf N for wet and dry season using RapidEye data. We conclude that remote sensing images can be applied for the long term vegetation monitoring for future biodiversity conservation efforts.
DA - 2014-01
DB - ResearchSpace
DP - CSIR
KW - Leaf nitrogen
KW - Leaf water potential
KW - Hyperspectral
KW - Leaf reflectance
KW - Plant stress
KW - RapidEye imagery
KW - Red edge band
KW - Vegetation indices
LK - https://researchspace.csir.co.za
PY - 2014
SM - 0140-1963
T1 - Potential to monitor plant stress using remote sensing tools
TI - Potential to monitor plant stress using remote sensing tools
UR - http://hdl.handle.net/10204/7781
ER -
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en_ZA |