Evaluation of the optimal resolution for characterizing the effect of beach surface moisture derived from remote sensing on aeolian transport

Irene Delgado-Fernandez, Robin Davidson-Arnott, Bernard O Bauer, Ian J Walker, Jeff Ollerhead

Research output: Contribution to journalConference proceeding article (ISSN)

Abstract

This paper explores new possibilities offered by moisture maps obtained from a remote sensing system to evaluate the effect of measuring moisture at different spatial resolutions. The data are derived from a moisture map generated from an image taken during an aeolian event on October 21, 2007 at Greenwich Dunes, Prince Edward Island National Park, Canada, using a camera mounted on a mast on the foredune crest at a height of about 14 m above the beach. Data from the original, fine resolution (0.05 m) moisture map was gradually aggregated through pixel coarsening. The simple method of local variance was used to identify the grid resolution at which changes in moisture were best depicted. Results indicate that the optimal spatial resolution at which most moisture variability was conveyed within a moisture map was 0.6-0.9 m, which suggests that finer resolutions do not necessarily provide the best representation of surface moisture that could be used in predictions of aeolian sediment transport.
Original languageEnglish
Pages (from-to)1277-1282
JournalJournal of Coastal Research Special Issue No. 65 (Proceedings of the 12th International Coastal Symposium ICS2013)
Volume2
Publication statusPublished - 2013

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beach
moisture
remote sensing
spatial resolution
effect
evaluation
sediment transport
dune
pixel
national park
prediction

Cite this

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title = "Evaluation of the optimal resolution for characterizing the effect of beach surface moisture derived from remote sensing on aeolian transport",
abstract = "This paper explores new possibilities offered by moisture maps obtained from a remote sensing system to evaluate the effect of measuring moisture at different spatial resolutions. The data are derived from a moisture map generated from an image taken during an aeolian event on October 21, 2007 at Greenwich Dunes, Prince Edward Island National Park, Canada, using a camera mounted on a mast on the foredune crest at a height of about 14 m above the beach. Data from the original, fine resolution (0.05 m) moisture map was gradually aggregated through pixel coarsening. The simple method of local variance was used to identify the grid resolution at which changes in moisture were best depicted. Results indicate that the optimal spatial resolution at which most moisture variability was conveyed within a moisture map was 0.6-0.9 m, which suggests that finer resolutions do not necessarily provide the best representation of surface moisture that could be used in predictions of aeolian sediment transport.",
author = "Irene Delgado-Fernandez and Robin Davidson-Arnott and Bauer, {Bernard O} and Walker, {Ian J} and Jeff Ollerhead",
year = "2013",
language = "English",
volume = "2",
pages = "1277--1282",
journal = "Journal of Coastal Research",
issn = "0749-0208",
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Evaluation of the optimal resolution for characterizing the effect of beach surface moisture derived from remote sensing on aeolian transport. / Delgado-Fernandez, Irene; Davidson-Arnott, Robin; Bauer, Bernard O; Walker, Ian J; Ollerhead, Jeff.

In: Journal of Coastal Research Special Issue No. 65 (Proceedings of the 12th International Coastal Symposium ICS2013), Vol. 2, 2013, p. 1277-1282.

Research output: Contribution to journalConference proceeding article (ISSN)

TY - JOUR

T1 - Evaluation of the optimal resolution for characterizing the effect of beach surface moisture derived from remote sensing on aeolian transport

AU - Delgado-Fernandez, Irene

AU - Davidson-Arnott, Robin

AU - Bauer, Bernard O

AU - Walker, Ian J

AU - Ollerhead, Jeff

PY - 2013

Y1 - 2013

N2 - This paper explores new possibilities offered by moisture maps obtained from a remote sensing system to evaluate the effect of measuring moisture at different spatial resolutions. The data are derived from a moisture map generated from an image taken during an aeolian event on October 21, 2007 at Greenwich Dunes, Prince Edward Island National Park, Canada, using a camera mounted on a mast on the foredune crest at a height of about 14 m above the beach. Data from the original, fine resolution (0.05 m) moisture map was gradually aggregated through pixel coarsening. The simple method of local variance was used to identify the grid resolution at which changes in moisture were best depicted. Results indicate that the optimal spatial resolution at which most moisture variability was conveyed within a moisture map was 0.6-0.9 m, which suggests that finer resolutions do not necessarily provide the best representation of surface moisture that could be used in predictions of aeolian sediment transport.

AB - This paper explores new possibilities offered by moisture maps obtained from a remote sensing system to evaluate the effect of measuring moisture at different spatial resolutions. The data are derived from a moisture map generated from an image taken during an aeolian event on October 21, 2007 at Greenwich Dunes, Prince Edward Island National Park, Canada, using a camera mounted on a mast on the foredune crest at a height of about 14 m above the beach. Data from the original, fine resolution (0.05 m) moisture map was gradually aggregated through pixel coarsening. The simple method of local variance was used to identify the grid resolution at which changes in moisture were best depicted. Results indicate that the optimal spatial resolution at which most moisture variability was conveyed within a moisture map was 0.6-0.9 m, which suggests that finer resolutions do not necessarily provide the best representation of surface moisture that could be used in predictions of aeolian sediment transport.

UR - http://ics2013.org/

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M3 - Conference proceeding article (ISSN)

VL - 2

SP - 1277

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JO - Journal of Coastal Research

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