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Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time-series data

Published online by Cambridge University Press:  27 October 2009

Carl J. Markon ,
Michael D. Fleming  and
Emily F. Binnian
Carl J. Markon
Affiliation:
Hughes STX Corporation, EROS Alaska Field Office, 4230 University Drive, Anchorage, AK 99508-4664, USA
Michael D. Fleming
Affiliation:
Hughes STX Corporation, EROS Alaska Field Office, 4230 University Drive, Anchorage, AK 99508-4664, USA
Emily F. Binnian
Affiliation:
Hughes STX Corporation, EROS Alaska Field Office, 4230 University Drive, Anchorage, AK 99508-4664, USA
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Abstract

Advanced Very High Resolution Radiometer (AVHRR) satellite data were acquired and composited into twice-a-month periods from 1 May 1991 to 15 October 1991 in order to map vegetation characteristics of the Alaskan landscape. Unique spatial and temporal qualities of the AVHRR data provide information that leads to a better understanding of regional biophysical characteristics of vegetation communities and patterns. These data provided synoptic views of the landscape and depicted phenological diversity, temporal vegetation phenology (green-up, peak of green, and senescence), photosynthetic activity, and regional landscape patterns. Products generated from the data included a phenological class map, phenological composite maps (onset, peak, and duration), and photosynthetic activity maps (mean and maximum greenness). The time-series data provide opportunities to study phenological processes at small landscape scales over time periods of weeks, months, and years. Regional patterns identified on some of the maps are unique to specific areas; others correspond to biophysical or ecoregional boundaries. The data provide new insights to landscape processes, ecology, and landscape physiognomy that allow scientists to look at landscapes in ways that were previously difficult to achieve.

Type
Articles
Information
Polar Record , Volume 31 , Issue 177 , April 1995 , pp. 179 - 190
Copyright
Copyright © Cambridge University Press 1995

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