dc.contributor.author |
Wessels, Konrad J
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dc.contributor.author |
Steenkamp, Karen C
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dc.contributor.author |
Von Maltitz, Graham P
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dc.contributor.author |
Archibald, S
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dc.date.accessioned |
2011-09-23T09:28:14Z |
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dc.date.available |
2011-09-23T09:28:14Z |
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dc.date.issued |
2011 |
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dc.identifier.citation |
Wessels, Konrad J., Steenkamp, K.C., Von Maltitz, G.P. and Archibald, S. 2011. Observations on environmental change in South Africa, edited by Larry Zietsman, Published SUN MeDIA Stellenbosch |
en_US |
dc.identifier.isbn |
978-1-920338-24-4 |
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dc.identifier.uri |
http://www.africansunmedia.co.za/Portals/0/files/Promotion/Observations-on-Environmental-Change-in-SA-e-version-Section-3.pdf
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dc.identifier.uri |
http://hdl.handle.net/10204/5171
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dc.description |
Copyright: 2011 Authors and SUN MeDIA Stellensbosch |
en_US |
dc.description.abstract |
Vegetation phenology refers to the timing of seasonal biological events (for example, bud burst, leaf unfolding, vegetation growth and leaf senescence) and biotic and abiotic forces that control these. Daily, coarse-resolution satellite imagery provides consistent measurements of vegetation greenness which captures phenological cycles and vegetation function. Understanding the inter-annual variability in phenology is imperative, as phenological changes will be one of the first signs of the impact of climate change on ecosystem dynamics. This chapter offers new insights into the spatial patterns of the phenometrics and their inter-annual variability that could not be mapped without long-term satellite time-series data. This technique helps to close the gap that existed between plot-level vegetation data and broad-scale climate data during traditional regional vegetation mapping. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
SUN MeDIA Stellenbosch |
en_US |
dc.relation.ispartofseries |
Workflow request;7228 |
|
dc.subject |
South African environmental change |
en_US |
dc.subject |
Vegetation phenology |
en_US |
dc.subject |
Southern African vegetation |
en_US |
dc.subject |
Satellite imagery |
en_US |
dc.subject |
Vegetation data |
en_US |
dc.subject |
Satellite time series data |
en_US |
dc.subject |
Vegetation mapping |
en_US |
dc.subject |
Climate change |
en_US |
dc.title |
Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery |
en_US |
dc.type |
Book Chapter |
en_US |
dc.identifier.apacitation |
Wessels, K. J., Steenkamp, K. C., Von Maltitz, G. P., & Archibald, S. (2011). Detecting inter-Annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery., <i>Workflow request;7228</i> SUN MeDIA Stellenbosch. http://hdl.handle.net/10204/5171 |
en_ZA |
dc.identifier.chicagocitation |
Wessels, Konrad J, Karen C Steenkamp, Graham P Von Maltitz, and S Archibald. "Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery" In <i>WORKFLOW REQUEST;7228</i>, n.p.: SUN MeDIA Stellenbosch. 2011. http://hdl.handle.net/10204/5171. |
en_ZA |
dc.identifier.vancouvercitation |
Wessels KJ, Steenkamp KC, Von Maltitz GP, Archibald S. Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery.. Workflow request;7228. [place unknown]: SUN MeDIA Stellenbosch; 2011. [cited yyyy month dd]. http://hdl.handle.net/10204/5171. |
en_ZA |
dc.identifier.ris |
TY - Book Chapter
AU - Wessels, Konrad J
AU - Steenkamp, Karen C
AU - Von Maltitz, Graham P
AU - Archibald, S
AB - Vegetation phenology refers to the timing of seasonal biological events (for example, bud burst, leaf unfolding, vegetation growth and leaf senescence) and biotic and abiotic forces that control these. Daily, coarse-resolution satellite imagery provides consistent measurements of vegetation greenness which captures phenological cycles and vegetation function. Understanding the inter-annual variability in phenology is imperative, as phenological changes will be one of the first signs of the impact of climate change on ecosystem dynamics. This chapter offers new insights into the spatial patterns of the phenometrics and their inter-annual variability that could not be mapped without long-term satellite time-series data. This technique helps to close the gap that existed between plot-level vegetation data and broad-scale climate data during traditional regional vegetation mapping.
DA - 2011
DB - ResearchSpace
DP - CSIR
KW - South African environmental change
KW - Vegetation phenology
KW - Southern African vegetation
KW - Satellite imagery
KW - Vegetation data
KW - Satellite time series data
KW - Vegetation mapping
KW - Climate change
LK - https://researchspace.csir.co.za
PY - 2011
SM - 978-1-920338-24-4
T1 - Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery
TI - Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery
UR - http://hdl.handle.net/10204/5171
ER -
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en_ZA |