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.contributor.author |
Scholes, RJ
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dc.contributor.author |
Miteff, S
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dc.contributor.author |
Bachoo, A
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dc.date.accessioned |
2010-04-18T14:07:54Z |
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dc.date.available |
2010-04-18T14:07:54Z |
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dc.date.issued |
2009-07 |
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dc.identifier.citation |
Wessels, K.J., Steenkamp, K.C., Von Maltitz, G.P. et al 2009. Remotely sensed phenology for mapping biomes and vegetation functional types. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, pp 1034-1037 |
en |
dc.identifier.isbn |
978-1-4244-3395-7 |
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dc.identifier.uri |
http://hdl.handle.net/10204/4049
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dc.description |
Copyright: 2009 IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa |
en |
dc.description.abstract |
This study used remotely-sensed phenology data derived from Advanced Very High Resolution Radiometer (AVHRR), in a fully supervised decision-tree classification based on the new biome map of South Africa. The objectives were: (i) to investigate the long-term spatial patterns and inter-annual variability in satellite-derived vegetation phenology in relation to the recently revised biome map and (ii) to identify the phenological attributes that distinguishes between the different biomes. The long term phenometrics gave ecologically-meaningful results which reflect the authors’ current understanding of the spatial patterns of production and seasonality of vegetation growth in southern Africa. Regression tree analysis based on remotely-sensed phenometrics performed as good as, or better than, previous climate-based predictors of biome distribution. |
en |
dc.language.iso |
en |
en |
dc.publisher |
IEEE |
en |
dc.subject |
Advanced very high resolution radiometer |
en |
dc.subject |
AVHRR |
en |
dc.subject |
Remotely sensed phenology |
en |
dc.subject |
Mapping biomes |
en |
dc.subject |
Vegetation mapping |
en |
dc.subject |
Phenology |
en |
dc.subject |
Biomes |
en |
dc.title |
Remotely sensed phenology for mapping biomes and vegetation functional types |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Wessels, K. J., Steenkamp, K. C., Von Maltitz, G. P., Archibald, S., Scholes, R., Miteff, S., & Bachoo, A. (2009). Remotely sensed phenology for mapping biomes and vegetation functional types. IEEE. http://hdl.handle.net/10204/4049 |
en_ZA |
dc.identifier.chicagocitation |
Wessels, Konrad J, Karen C Steenkamp, Graham P Von Maltitz, S Archibald, RJ Scholes, S Miteff, and A Bachoo. "Remotely sensed phenology for mapping biomes and vegetation functional types." (2009): http://hdl.handle.net/10204/4049 |
en_ZA |
dc.identifier.vancouvercitation |
Wessels KJ, Steenkamp KC, Von Maltitz GP, Archibald S, Scholes R, Miteff S, et al, Remotely sensed phenology for mapping biomes and vegetation functional types; IEEE; 2009. http://hdl.handle.net/10204/4049 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Wessels, Konrad J
AU - Steenkamp, Karen C
AU - Von Maltitz, Graham P
AU - Archibald, S
AU - Scholes, RJ
AU - Miteff, S
AU - Bachoo, A
AB - This study used remotely-sensed phenology data derived from Advanced Very High Resolution Radiometer (AVHRR), in a fully supervised decision-tree classification based on the new biome map of South Africa. The objectives were: (i) to investigate the long-term spatial patterns and inter-annual variability in satellite-derived vegetation phenology in relation to the recently revised biome map and (ii) to identify the phenological attributes that distinguishes between the different biomes. The long term phenometrics gave ecologically-meaningful results which reflect the authors’ current understanding of the spatial patterns of production and seasonality of vegetation growth in southern Africa. Regression tree analysis based on remotely-sensed phenometrics performed as good as, or better than, previous climate-based predictors of biome distribution.
DA - 2009-07
DB - ResearchSpace
DP - CSIR
KW - Advanced very high resolution radiometer
KW - AVHRR
KW - Remotely sensed phenology
KW - Mapping biomes
KW - Vegetation mapping
KW - Phenology
KW - Biomes
LK - https://researchspace.csir.co.za
PY - 2009
SM - 978-1-4244-3395-7
T1 - Remotely sensed phenology for mapping biomes and vegetation functional types
TI - Remotely sensed phenology for mapping biomes and vegetation functional types
UR - http://hdl.handle.net/10204/4049
ER -
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en_ZA |