Faculty Sponsor(s)

Olivia Bartlett

Location

Hartman Union Building Court Room

Presentation Type

Event

Start Date

4-28-2017 3:00 PM

End Date

4-28-2017 4:00 PM

Abstract

Revealing a landscape’s manmade history can be difficult if only satellite or aerial imagery is available. With the advent of LiDAR, changes along the bare-earth can easily be seen and further teased apart. LiDAR-derived products can be utilized to successfully identify historical resources found along the landscape, such as stonewalls. Common approaches include creating various terrain products from LiDAR-derived digital elevation models (DEMs), such as hillshade and slope, that are used as visualization tools. It is important to evaluate the accuracy of digitizing historical resources through field sampling. The objectives of this study are to evaluate the effectiveness of the most common LiDAR-derived visualization products in accurately identifying stonewalls within a study area located in the White Mountain National Forest, NH. Line-transect sampling was used to develop a field accuracy assessment of both the presence and absence of said digitized stonewalls. This field approach will be essential for standardizing statewide and regional digitizing efforts of historical resources with the newly available New Hampshire LiDAR data.

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Apr 28th, 3:00 PM Apr 28th, 4:00 PM

Uncovering the Past Landscape of Central New Hampshire: Accuracy Assessment for Identifying Stonewalls Using LiDAR-derived Products

Hartman Union Building Court Room

Revealing a landscape’s manmade history can be difficult if only satellite or aerial imagery is available. With the advent of LiDAR, changes along the bare-earth can easily be seen and further teased apart. LiDAR-derived products can be utilized to successfully identify historical resources found along the landscape, such as stonewalls. Common approaches include creating various terrain products from LiDAR-derived digital elevation models (DEMs), such as hillshade and slope, that are used as visualization tools. It is important to evaluate the accuracy of digitizing historical resources through field sampling. The objectives of this study are to evaluate the effectiveness of the most common LiDAR-derived visualization products in accurately identifying stonewalls within a study area located in the White Mountain National Forest, NH. Line-transect sampling was used to develop a field accuracy assessment of both the presence and absence of said digitized stonewalls. This field approach will be essential for standardizing statewide and regional digitizing efforts of historical resources with the newly available New Hampshire LiDAR data.