Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits

Keith Challis; Andy Howard; Derek Moscrop; Ben Gearey; David Smith; Christopher Carey; Alan Thompson

Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits

Keith Challis, Andy Howard, Derek Moscrop, Ben Gearey, David Smith, Christopher Carey, Alan Thompson

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

An assessment of the predictive potential of backscettered lidar intensity to identigy organic preservation of waterlogged sediments in alluvial environments.

Original language	English
Title of host publication	From space to place: proceedings of the 2nd International Workshop, CNR
Place of Publication	Oxford
Publisher	Archaeopress
Pages	93-98
Number of pages	6
Volume	1568
ISBN (Print)	9781841719986
Publication status	Published - 12 Apr 2006
Event	From space to place: proceedings of the 2nd International Workshop, CNR - Rome, Italy, 4-7 December 2006 Duration: 12 Apr 2006 → …

Publication series

Name	BAR International Series

Conference

Conference	From space to place: proceedings of the 2nd International Workshop, CNR
Period	12/04/06 → …

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Using airborne LiDAR intensity to predict the organic preservation of waterlogged deposits (1).pdfAccepted author manuscript, 458 KBLicence: Unspecified

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@inproceedings{b9e83cb9541e481db8b721917a0d9223,

title = "Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits",

abstract = "An assessment of the predictive potential of backscettered lidar intensity to identigy organic preservation of waterlogged sediments in alluvial environments.",

author = "Keith Challis and Andy Howard and Derek Moscrop and Ben Gearey and David Smith and Christopher Carey and Alan Thompson",

year = "2006",

month = apr,

day = "12",

language = "English",

isbn = "9781841719986",

volume = "1568",

series = "BAR International Series",

publisher = "Archaeopress",

pages = "93--98",

booktitle = "From space to place: proceedings of the 2nd International Workshop, CNR",

note = "From space to place: proceedings of the 2nd International Workshop, CNR ; Conference date: 12-04-2006",

}

Challis, K, Howard, A, Moscrop, D, Gearey, B, Smith, D, Carey, C & Thompson, A 2006, Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits. in From space to place: proceedings of the 2nd International Workshop, CNR. vol. 1568, BAR International Series, Archaeopress, Oxford, pp. 93-98, From space to place: proceedings of the 2nd International Workshop, CNR, 12/04/06.

Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits. / Challis, Keith; Howard, Andy; Moscrop, Derek et al.
From space to place: proceedings of the 2nd International Workshop, CNR. Vol. 1568 Oxford: Archaeopress, 2006. p. 93-98 (BAR International Series).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

TY - GEN

T1 - Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits

AU - Challis, Keith

AU - Howard, Andy

AU - Moscrop, Derek

AU - Gearey, Ben

AU - Smith, David

AU - Carey, Christopher

AU - Thompson, Alan

PY - 2006/4/12

Y1 - 2006/4/12

N2 - An assessment of the predictive potential of backscettered lidar intensity to identigy organic preservation of waterlogged sediments in alluvial environments.

AB - An assessment of the predictive potential of backscettered lidar intensity to identigy organic preservation of waterlogged sediments in alluvial environments.

M3 - Conference contribution with ISSN or ISBN

SN - 9781841719986

VL - 1568

T3 - BAR International Series

SP - 93

EP - 98

BT - From space to place: proceedings of the 2nd International Workshop, CNR

PB - Archaeopress

CY - Oxford

T2 - From space to place: proceedings of the 2nd International Workshop, CNR

Y2 - 12 April 2006

ER -

Using airborne LiDAR intensity to predict the organic potential of waterlogged deposits

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