Dataset
GastFarm2016_Report
Zenodo
08/18/2020
DOI: 10.5281/zenodo.3990202
Abstract
Project Name: Gast Farm Project Location: Iowa, United States Project Date: 2016 Gast Farm is a 13-hectare archaeological site located in the Mississippi River valley in southeast Iowa. Gast Farm is one of the largest and best-preserved Woodland sites in the region, with both Middle Woodland (Havana Hopewell, ca. 50 B.C.–A.D. 250) and initial Late Woodland (Weaver, ca. A.D. 350–500) deposits. Additionally, a large mound was once present, and remnants of geometric earthworks also suspected. The PIs research seeks to is to understand the interanal structure and layout of the Woodland communities at Gast Farm, which can contribute to knowledge of Middle and Late Woodland domestic and corporate-ceremonial spheres, i.e., residential as well as sustainable and symbolic communities. PI William Green collaborated with SPARC researcher Adam Barnes to produce orthorectified images and a digital elevation model (DEM) of the Gast Farm site from aerial imagery collected in 1990, using AgiSoft Photoscan. The orthophotos reveal distinct soil discolorations because the original photos were taken after the field had been disked, planted, and rained on, and only a few days after row crops (corn) had emerged. Soil discolorations indicate large-scale cultural features such as middens (dark colors) and a mound and possible geometric earthworks (light colors). The orthophotos also show a series of narrow linear discolorations exactly 10 m apart that represent the paths created during the controlled surface collection that was underway at the time the photos were taken. The DEM produced by orthophoto rectification has a 50-cm resolution, which is unfortunately is not sufficiently sensitive to detect possible mound or earthwork features after they have been leveled and plowed. This work is part of a larger 2016-2018 project at Gast Farm, which combined GIS development, aerial imagery analysis, and geophysical survey. Defining community organization, locating any subsurface traces of the mound, and determining the reality of the suspected earthwork constituted key research objectives. Over the course of the project, the Gast Farm team (1) identified the Middle Woodland (Havana-Hopewell) community plan, (2) determined no geometric earthworks were present but discovered six additional mounds, and (3) confirmed and expanded the Late Woodland (Weaver) community plan. In the process of obtaining these results, the project also accomplished several methodological advances: it (1) demonstrated the viability of magnetic gradiometry for identifying Woodland residential and mortuary features in Mississippi Valley alluvial fans, (2) showed how to incorporate legacy oblique aerial photography in a georeferenced GIS, (3) indicated the promise of drone-based photogrammetry in identifying cultural features beneath crop cover, and (4) modeled the virtual reconstruction of leveled mounds. Fieldwork and analyses were conducted in 2016-2018 through a grant from a National Geographic Society Committee for Research and Exploration (project 9938-16). This research was also supported by a SPARC Data & Analytics Award. The SPARC Program is based at CAST at the University of Arkansas, and is funded by a generous grant from the National Science Foundation (BCS #1519660). Additional support for project archiving was funded by the SPARC Program in 2020 (BCS #1822110). A Beloit College Keefer Senior Faculty Grant and a developmental leave from Beloit College supplemented the NGS and SPARC support. Research was also aided by effort provided by Beloit College students and individuals at several partner institutions, notably the Midwest Archeological Center of the National Park Service (Lincoln, NE; MWAC), the Office of the State Archaeologist of the University of Iowa (OSA), and Arizona State University. The DigitalGlobe Foundation also provided access to satellite imagery (not included in this archive).
Details
- Title: Subtitle
- GastFarm2016_Report
- Creators
- Carla Klehm - University of Arkansas at FayettevilleWilliam Green - Beloit CollegeAdam Barnes - University of Arkansas at Fayetteville
- Resource Type
- Dataset
- DOI
- 10.5281/zenodo.3990202
- Publisher
- Zenodo
- Language
- English
- Date published
- 08/18/2020
- Academic Unit
- Office of the State Archaeologist
- Record Identifier
- 9985121614202771
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