Updating of USGS Data for Large Scale Land Use Analysis
Poster Number
082
Session Title
Food, Environment, and Climate Change
College
College of Arts and Sciences
Department
Interdisciplinary Studies
Faculty Mentor
Bryan McFadden, M.S., and Scott Werts, Ph.D.
Abstract
Geospatial technologies are tools that can be used to map, measure, and monitor data about the surface of the earth. Data can be collected from satellite and aerial sensors, or locally from field observations. Combining these various pieces of information allows for the creation of a detailed, large-scale dataset that can be used to better understand local area patterns and issues. Highly detailed geographic datasets can be analyzed to track change over time and better understand the impacts of land-use change. This project will consist of integrating various geospatial datasets acquired from federal, state, and local entities. Specifically it will involve acquiring soil survey data from the U.S. Department of Agriculture for a local property and updating the information based on soil samples and profiles collected from the site. Combining field samples taken from a local South Carolina site and geospatial analysis techniques will help to update the database and allow for a more specific and detailed survey of the local soils and potential land-use impacts. The large-scale local study provides project-based analysis to be able to compare and map different aspects of soil samples such as type, drainage, and vegetation. Highly detailed information creates a more useful catalogue of soils, allowing for widespread use of the updated, more accurate data.
Start Date
24-4-2020 12:00 AM
Updating of USGS Data for Large Scale Land Use Analysis
Geospatial technologies are tools that can be used to map, measure, and monitor data about the surface of the earth. Data can be collected from satellite and aerial sensors, or locally from field observations. Combining these various pieces of information allows for the creation of a detailed, large-scale dataset that can be used to better understand local area patterns and issues. Highly detailed geographic datasets can be analyzed to track change over time and better understand the impacts of land-use change. This project will consist of integrating various geospatial datasets acquired from federal, state, and local entities. Specifically it will involve acquiring soil survey data from the U.S. Department of Agriculture for a local property and updating the information based on soil samples and profiles collected from the site. Combining field samples taken from a local South Carolina site and geospatial analysis techniques will help to update the database and allow for a more specific and detailed survey of the local soils and potential land-use impacts. The large-scale local study provides project-based analysis to be able to compare and map different aspects of soil samples such as type, drainage, and vegetation. Highly detailed information creates a more useful catalogue of soils, allowing for widespread use of the updated, more accurate data.
