Wessels, Konrad JSteenkamp, Karen CVon Maltitz, Graham PArchibald, S2011-09-232011-09-232011Wessels, 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 Stellenbosch978-1-920338-24-4http://www.africansunmedia.co.za/Portals/0/files/Promotion/Observations-on-Environmental-Change-in-SA-e-version-Section-3.pdfhttp://hdl.handle.net/10204/5171Copyright: 2011 Authors and SUN MeDIA StellensboschVegetation 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.enSouth African environmental changeVegetation phenologySouthern African vegetationSatellite imageryVegetation dataSatellite time series dataVegetation mappingClimate changeBook ChapterWessels, 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/10204/5171Wessels, 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.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.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 -