Landscape change detection using GIS and Remote Sensing: a study on St. George

Authors: Zhenyu Jin*, Physical Sciences Department, Dixie State University
Topics: Land Use and Land Cover Change, Remote Sensing, Human-Environment Geography
Keywords: Remote sensing, GIS, NDVI, Time-series
Session Type: Paper
Day: 4/5/2019
Start / End Time: 5:00 PM / 6:40 PM
Room: Jackson, Marriott, Mezzanine Level
Presentation File: No File Uploaded

St George city, near the convergence of three distinct geological areas: the Mojave desert, the Colorado plateau, and great basin, was ranked the second fastest-growing metropolitan area in the United States in 2005. Human activities have since played important roles in influencing the local landscape. This study uses time-series satellite Normalized Difference Vegetation Index (NDVI) data to investigate the Landscape change in this region as well as the causes of this change. The results have shown that the population growth and residential area construction have resulted in the increase of annual NDVI.

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