NDLI: Long-Term Phenology and Variability of Southern African Vegetation

Content Provider	IEEE Xplore Digital Library
Author	Steenkamp, K. Wessels, K. Archibald, S. von Maltitz, G.
Copyright Year	2008
Description	Author affiliation: Remote Sensing Res. Unit, Meraka Inst., Tshwane (Steenkamp, K.; Wessels, K.) \|\| Natural Resources & Environ., CSIR, Tshwane (Archibald, S.; von Maltitz, G.)
Abstract	Satellite-derived phenology allows monitoring of terrestrial vegetation on a global scale and provides an integrative view at the landscape level . Understanding these seasonal phenological patterns is essential to (i) the characterisation and classification of vegetation, (ii) studying the impact of climate change , and influence of rainfall variability (iii) monitoring desertification and (iv) detecting changes in land use/land cover. This study analyzed vegetation phenology across Southern Africa in order to investigate which phenometrics (and their inter-annual variability) distinguish biomes based on functional patterns. A second objective was to quantify the inter-annual variability of phenometrics during a 15-year period (1985 to 2000).
File Size	854068
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4779474
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Africa Curve fitting Productivity Remote monitoring Pattern analysis Ecosystems Biosphere Temperature distribution Fires inter-annual variability Time-series phenology
Content Type	Text
Resource Type	Article

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