ResearchSpace

Detecting inter-annual variability in the phenological characteristics of southern Africa’s vegetation using satellite imagery

Show simple item record

dc.contributor.author Wessels, Konrad J
dc.contributor.author Steenkamp, Karen C
dc.contributor.author Von Maltitz, Graham P
dc.contributor.author Archibald, S
dc.date.accessioned 2011-09-23T09:28:14Z
dc.date.available 2011-09-23T09:28:14Z
dc.date.issued 2011
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
dc.identifier.uri http://www.africansunmedia.co.za/Portals/0/files/Promotion/Observations-on-Environmental-Change-in-SA-e-version-Section-3.pdf
dc.identifier.uri http://hdl.handle.net/10204/5171
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 - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record