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Green leaf phenology at Landsat resolution: Scaling from the field to the satellite [An article from: Remote Sensing of Environment]

Author J.I. Fisher, J.F. Mustard, M.A. Vadeboncoeur
Publisher Elsevier
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Book Details
PublisherElsevier
ISBN / ASINB000RR6S7A
ISBN-13978B000RR6S73
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸

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This digital document is a journal article from Remote Sensing of Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Despite the large number of in situ, plot-level phenological measurements and satellite-derived phenological studies, there has been little success to date in merging these records temporally or spatially. In this research, we bridge this scale gap through higher resolution satellite records (Landsat) and quantify the accuracy of satellite-derived metrics with direct field measurements. We compiled fifty-seven Landsat scenes from southern New England (P12 R51) from 1984 to 2002. Green vegetation areal abundance for each scene was derived from spectral mixture analysis and a single set of endmembers. The leaf area signal was fit with a logistic-growth simulating sigmoid curve to derive phenological markers (half-maximum leaf-onset and offset). Spring leaf-onset dates in homogenous stands of deciduous forests displayed significant and persistent local variability. The local variability was validated with multiple springtime ground observations (r^2=0.91). The highest degree of verified small-scale variation occurred where contiguous forests displayed leaf-onset gradients of 10-14 days over short distances (