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Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics

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dc.contributor.author Steenkamp, Karen C
dc.contributor.author Wessels, Konrad J
dc.contributor.author Archibald, S
dc.contributor.author Von Maltitz, Graham P
dc.date.accessioned 2011-05-06T07:50:18Z
dc.date.available 2011-05-06T07:50:18Z
dc.date.issued 2009-05
dc.identifier.citation Steenkamp, K.C., Wessels, K.J., Archibald, S, et al. 2009. Satellite derived phenology of Southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics. 33rd International Symposium on Remote Sensing of Environment: Sustaining the Millennium Development Goals, Stresa, Lago Magglore, Italy, 4-8 May 2009, pp 4. en_US
dc.identifier.isbn 978-0932913135
dc.identifier.uri http://hdl.handle.net/10204/4985
dc.description 33rd International Symposium on Remote Sensing of Environment: Sustaining the Millennium Development Goals, Stresa, Lago Magglore, Italy, 4-8 May 2009 en_US
dc.description.abstract Remotely-sensed phenological metrics (or phenometrics) were derived from AVHRR vegetation-index time-series data and to describes seasonal growth in terms of start, end, length of season and estimates of net primary production (NPP). This study analyzed vegetation phenometrics across South Africa (SA) in order to characterize phenological patterns and their inter-annual variability. A second objective is to distinguish biomes and sub-biome “bioregions” based on functional patterns. The long term phenometrics gave ecologically-meaningful results which reflect our current understanding of the spatial patterns of production and seasonality of vegetation growth. The results suggest that phenometrics capture sufficient functional diversity to classify and map vegetation based on function. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;3798
dc.subject Vegetation phenology en_US
dc.subject Time series en_US
dc.subject AVHRR en_US
dc.subject Inter annual variability en_US
dc.subject Biomes en_US
dc.subject Bioregions en_US
dc.subject Vegetation en_US
dc.subject Remote sensing en_US
dc.title Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Steenkamp, K. C., Wessels, K. J., Archibald, S., & Von Maltitz, G. P. (2009). Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics. http://hdl.handle.net/10204/4985 en_ZA
dc.identifier.chicagocitation Steenkamp, Karen C, Konrad J Wessels, S Archibald, and Graham P Von Maltitz. "Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics." (2009): http://hdl.handle.net/10204/4985 en_ZA
dc.identifier.vancouvercitation Steenkamp KC, Wessels KJ, Archibald S, Von Maltitz GP, Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics; 2009. http://hdl.handle.net/10204/4985 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Steenkamp, Karen C AU - Wessels, Konrad J AU - Archibald, S AU - Von Maltitz, Graham P AB - Remotely-sensed phenological metrics (or phenometrics) were derived from AVHRR vegetation-index time-series data and to describes seasonal growth in terms of start, end, length of season and estimates of net primary production (NPP). This study analyzed vegetation phenometrics across South Africa (SA) in order to characterize phenological patterns and their inter-annual variability. A second objective is to distinguish biomes and sub-biome “bioregions” based on functional patterns. The long term phenometrics gave ecologically-meaningful results which reflect our current understanding of the spatial patterns of production and seasonality of vegetation growth. The results suggest that phenometrics capture sufficient functional diversity to classify and map vegetation based on function. DA - 2009-05 DB - ResearchSpace DP - CSIR KW - Vegetation phenology KW - Time series KW - AVHRR KW - Inter annual variability KW - Biomes KW - Bioregions KW - Vegetation KW - Remote sensing LK - https://researchspace.csir.co.za PY - 2009 SM - 978-0932913135 T1 - Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics TI - Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics UR - http://hdl.handle.net/10204/4985 ER - en_ZA


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