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Capability of the Canapi algorithm to derive shrub structural parameters from satellite imagery in the Alaskan Arctic

Bibliographic Data

ID9219987
AuthorsRocio R Duchesne (0000-0001-9874-8882, University of Wisconsin–Whitewater), Mark Chopping (0000-0001-9622-2772, Montclair State University), Mark J Chopping, Ken D Tape (0000-0002-1039-6868, University of Alaska Fairbanks)
Year2016
Volume52
Issue2
Pages124-133
Publication date2016-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolar Record (JOURNAL)
Journal identifiersISSN: 0032-2474 • E-ISSN: 1475-3057
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0032247415000509
OpenAlexW2263245762
LanguageEN
References cited38

The observed greening of Arctic vegetation and the expansion of shrubs in the last few decades probably have profound implications for the tundra ecosystem, including feedbacks to climate. Uncertainty surrounding this vegetation shift and its implications calls for monitoring of vegetation structural parameters, such as fractional cover of shrubs. In this study, CANAPI, a semi-automated image interpretation algorithm that identifies and traces crowns by locating its crescent-shaped sunlit portion, was evaluated for its ability to derive structural data for tall (> 0.5 m) shrubs in the Arctic. CANAPI estimates of shrub canopy parameters were obtained from high-resolution imagery at 26 sites (250 m x 250 m each) by adjusting the algorithm's parameters and filter settings for each site, such that the number of crowns delineated by CANAPI roughly matched those observed in the high-resolution imagery. The CANAPI estimates were then compared with field measurements to evaluate the algorithm's performance. CANAPI successfully retrieved fractional cover (R 2 = 0.83, P 2 = 0.81, P 2 = 0.54, P

Algorithm · Arctic · Geography · Physical geography · Remote sensing · Shrub · Tundra · Vegetation (pathology) · Climate change and permafrost · Cryospheric studies and observations · Ecology · Environmental Science · Geology · Geology and Paleoclimatology Research · Mathematics · Oceanography

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Citation velocityhistorical
Highly citedNo

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