Department
Geosciences
Degree Name
Master of Science (MS)
Abstract
This study aims to evaluate the impact of prairie restoration efforts in Barber County, Kansas, with a focus on removal of Eastern Red Cedar. Restoration effectiveness was assessed using remote sensing of satellite scenes via NDVI, density analysis, and dendrochronological methods. The tree density analysis revealed a 66% reduction across the study area and a 99% reduction in the fully restored zones. NDVI analysis from 2010 to 2024 showed higher summer vegetation health and seasonal fluctuations influenced by climate variability and fire events. Dendrochronological data from tree cores reveals growth patterns and establishes a baseline for future dendrochronological chronologies. The integration of satellite imagery and dendroecological techniques offers a multifaceted approach to monitoring prairie restoration outcomes. Results affirm the value of mechanical tree removal in restoring prairie ecosystems and highlight the potential of NDVI and tree-ring data in long-term ecological assessment. The study demonstrates that targeted restoration strategies can effectively reduce woody plant encroachment and support ecosystem resilience.
Keywords
Normalized Difference Vegetation Index, Remote Sensing, ArcGIS Pro, Trees
Advisor
Dr. Jonathan Sumrall
Date of Award
Spring 2025
Document Type
Thesis
Recommended Citation
Joy, Elijah O., "The Effects of Return to Prairie in Barber County, Kansas: A Case Study Using NDVI and Dendrochronology" (2025). Master's Theses. 3251.
Available at:
https://scholars.fhsu.edu/theses/3251
Rights
© The Author
