Airborne LiDAR backscattered Laser Intensity Prediction of Organic Preservation

Keith Challis, Andy J. Howard, 2008. https://doi.org/10.5284/1000023. How to cite using this DOI

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Digital Object Identifiers (DOIs) are persistent identifiers which can be used to consistently and accurately reference digital objects and/or content. The DOIs provide a way for the ADS resources to be cited in a similar fashion to traditional scholarly materials. More information on DOIs at the ADS can be found on our help page.

Citing this DOI

The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:

https://doi.org/10.5284/1000023
Sample Citation for this DOI

Keith Challis, Andy J. Howard (2008) Airborne LiDAR backscattered Laser Intensity Prediction of Organic Preservation [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000023

Data copyright © Keith Challis, Andy J. Howard unless otherwise stated

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Primary contact

Keith Challis
Birmingham Archaeology
Birmingham Archaeology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK
Tel: 0121 414 5513

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Resource identifiers

Digital Object Identifiers

Digital Object Identifiers (DOIs) are persistent identifiers which can be used to consistently and accurately reference digital objects and/or content. The DOIs provide a way for the ADS resources to be cited in a similar fashion to traditional scholarly materials. More information on DOIs at the ADS can be found on our help page.

Citing this DOI

The updated Crossref DOI Display guidelines recommend that DOIs should be displayed in the following format:

https://doi.org/10.5284/1000023
Sample Citation for this DOI

Keith Challis, Andy J. Howard (2008) Airborne LiDAR backscattered Laser Intensity Prediction of Organic Preservation [data-set]. York: Archaeology Data Service [distributor] https://doi.org/10.5284/1000023

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Downloads

Final Project Reports: PDF files

Stage 1 Final Report

Challis, K. et al, 2007 Analysis of the Effectiveness of Airborne Lidar Backscattered Laser Intensity for Predicting Organic Preservation Potential of Waterlogged Deposits
PDF 12  Mb
Stage 2 Final Report

Challis, K., AJ Howard, M Kincey, CJ Carey, 2008 Analysis of the Effectiveness of Airborne Lidar Backscattered Laser Intensity for Predicting Organic Preservation Potential of Waterlogged Deposits.
PDF 11  Mb



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