FieldWork 2016: Difference between revisions
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=Fieldwork= | =Fieldwork= | ||
During our field work, several different methods, including the examination of LiDAR maps, pedestrian survey, shovel test pits, and even metal detecting were utilized. In order to identify charcoal pits not identified in the LiDAR, an area was chosen that was accessible and lacked LiDAR. In order to locate these pits, a systematic transect survey (a survey done by walking in lines across the area of interest) was performed. The general area of fieldwork consisted of two main parts: an upper portion of the mountain characterized by steep, rocky slopes, and a lower area that was wooded with fairly dense vegetation. Two of the locations identified in the systematic pedestrian survey were chosen for further investigation, this included detailed mapping, shovel test pits and a metal detecting survey. On October 30th, 2016 three metal detectorists, Glen Gunther, Tim Reno, and Bob Gunther, from BRAVO (Battlefield Restoration and Archaeology Volunteer Organization), including arrived to assist the team in identifying cultural remains. The metal detectorists swept both 1004 and 2001. When they located a possible artifact, the metal detectorists dug a small hole. As they dug, they utilized a tool called a pinpointer which is a smaller metal detector with a narrower magnetic field than the full-sized metal detector. This ensured that the metal detectorist was able to hone in on the original signal. | During our field work, several different methods, including the examination of LiDAR maps, pedestrian survey, shovel test pits, and even metal detecting were utilized. In order to identify charcoal pits not identified in the LiDAR, an area was chosen that was accessible and lacked LiDAR. In order to locate these pits, a systematic transect survey (a survey done by walking in lines across the area of interest) was performed. Once the locations were chosen, the site was cleared using a combination of rakes, clippers, and a machete. The debris was then placed several meters away from the pit so that it would not interfere with future STPs. The general area of fieldwork consisted of two main parts: an upper portion of the mountain characterized by steep, rocky slopes, and a lower area that was wooded with fairly dense vegetation. Two of the locations identified in the systematic pedestrian survey were chosen for further investigation, this included detailed mapping, shovel test pits and a metal detecting survey. On October 30th, 2016 three metal detectorists, Glen Gunther, Tim Reno, and Bob Gunther, from BRAVO (Battlefield Restoration and Archaeology Volunteer Organization), including arrived to assist the team in identifying cultural remains. The metal detectorists swept both 1004 and 2001. When they located a possible artifact, the metal detectorists dug a small hole. As they dug, they utilized a tool called a pinpointer which is a smaller metal detector with a narrower magnetic field than the full-sized metal detector. This ensured that the metal detectorist was able to hone in on the original signal. | ||
=Results= | =Results= | ||
Revision as of 18:39, 16 September 2020
This page should focus only on what students and Dr. Carter did during the 2016 iteration of Field Archaeology. Content about charcoal, etc. should be on other pages.
Possible headers:
Purpose of the work
In 2016 during the fall semester, the Muhlenberg College Field Archaeology class conducted fieldwork on Pennsylvania State Game Lands 217 under the direction of Dr. Benjamin Carter, Associate Professor of Anthropology and Department Chair and an archaeologist at Muhlenberg. By utilizing LiDAR data, pedestrian survey, and shovel test pits, the class intended to demonstrate the presence of the charcoal industry and the colliers and the way colliers used the landscape. By initiating this research, the group wanted to address possible reuse of pits, the area of timberland needed for each charcoal pit, and the possible existence of a temporary living structure for the colliers. Through research in this area, the goal was to illuminate the role of colliers in the Lehigh Valley and provide some insight into their lives.
Plan
To further students understanding of charcoal pits, the Muhlenberg Field Archaeology class studied the Blue Mountain land owned (at least partially) by the Balliets which was used for charcoal and iron production. During field work, different methods were utilized; including examination of LiDAR maps, pedestrian survey, shovel test pits, and metal detecting.
First, possible charcoal pits were identified using LiDAR (Light Detection and Ranging). LiDAR is a form of remote sensing that measures the height of the land surface and vegetation across an area using a plane containing a combination of GPS, sensors/lasers, and an IMU (inertial measurement unit). Following a workshop on LiDAR run by NEON and Open Topography, Dr.Carter was able to construct a DEM using the original LiDAR data (also available on PASDA Imagery Navigator) by using the Class 2 points, which are all of the ground (or “last return”) points. This allowed Carter to create a more complete hillshade and slope analysis that showed charcoal pits in greater detail and identified more pits than the initial PASDA LiDAR data. The next step was to confirm that the anomalies identified in the LiDAR data are the remains of charcoal pits. We utilized a GPS-guided pedestrian survey (Burke, Smith, and Zimmerman 2009; 70). The first day in the field, the class used GPS on a combination of iPads and Android devices in order to see how well the LiDAR matched with charcoal pits. Locations identified as charcoal pits in the LiDAR were loaded onto the devices. Using the GPS (Android devices had internal GPS, but external Bluetooth GPS units were needed for the iPads), the class walked to these locations to assess if they were charcoal pits. In two days of work, 12 LiDAR-identified pits (31, 39, 58, 40, 41, 15, 16, 17, 18, 8, 9, 3) were located and assessed. Two to three additional charcoal pits were also identified (1000, 1001, possibly, 1002) that were not present in the LiDAR data. In order to complete the survey, a web-based form through Kobo Toolbox was used. Using the form, the class recorded: 1. Recorder; 2. Number from the LiDAR identifications; 3. Whether or not it was a likely charcoal pit; 4. Condition of the pit; 5. Location (GPS); 6. Size and orientation of the pits; 7. Presence or absence of a path/ road; 8. Presence or absence of ferns (this was originally thought to be an important signifier- it is not); 9. Any additional notes.
Fieldwork
During our field work, several different methods, including the examination of LiDAR maps, pedestrian survey, shovel test pits, and even metal detecting were utilized. In order to identify charcoal pits not identified in the LiDAR, an area was chosen that was accessible and lacked LiDAR. In order to locate these pits, a systematic transect survey (a survey done by walking in lines across the area of interest) was performed. Once the locations were chosen, the site was cleared using a combination of rakes, clippers, and a machete. The debris was then placed several meters away from the pit so that it would not interfere with future STPs. The general area of fieldwork consisted of two main parts: an upper portion of the mountain characterized by steep, rocky slopes, and a lower area that was wooded with fairly dense vegetation. Two of the locations identified in the systematic pedestrian survey were chosen for further investigation, this included detailed mapping, shovel test pits and a metal detecting survey. On October 30th, 2016 three metal detectorists, Glen Gunther, Tim Reno, and Bob Gunther, from BRAVO (Battlefield Restoration and Archaeology Volunteer Organization), including arrived to assist the team in identifying cultural remains. The metal detectorists swept both 1004 and 2001. When they located a possible artifact, the metal detectorists dug a small hole. As they dug, they utilized a tool called a pinpointer which is a smaller metal detector with a narrower magnetic field than the full-sized metal detector. This ensured that the metal detectorist was able to hone in on the original signal.
Results
This research has produced a new understanding of the charcoal & iron industry in Lehigh and Carbon Counties of Pennsylvania. This field work has highlighted four important components. First, the background research of charcoal production has revealed the many individuals and families involved in the production of iron. In particular, it has shown the power and influence of the Balliet family. Second, the class highlighted the less visible colliers, who were the backbone of the charcoal industry and, therefore, the iron industry. Thirdly, over 670 charcoal pits were identified on the slopes of the Blue Mountain and have ground-truthed some of these pits. Because of ground-truthing and the LiDAR data, it is likely that a large proportion of the identified charcoal hearths are just that. While it remains possible that there are LiDAR-recognized charcoal pits that are false positives, the vast majority of these pits are remnants of the charcoal industry. Fourth, the class tested and confirmed that the features identified in the LiDAR data are in fact charcoal hearths. However, no collier’s huts were identified.
More generally, this research has opened the avenues for further research; many questions remain. Where are the collier huts? What were the lives of the colliers like? How did roads and path connect the charcoal pits to the furnaces? Were forests managed? And if so, in what way? What additional remnants of this vast industry remain in the wild woods of State Game Lands?