Monitoring Long-term Vegetation Change across Kujataa, South Greenland
Document Type
Oral Presentation
Department
Geography-Anthropology
Abstract
Kujataa is a dynamic region poised to grow. Situated on southern tip of Greenland, a resilient sheep farming and marine hunting population exists. Remnants of the first Norse settlement outside of Europe, forming in the 10th century and ending in the 15th century are visible throughout the region. Inuit hunting and farming communities formed at the end of the 18th century still exist in the present . In recent years, there has been a growing interest in international tourism. The Arctic region is warming at a faster rate than any other in the world. Conducting a vegetation analysis via high quality satellite-derived data is an effective way to monitor landscape change over time. For this study, the primary focus is on changes in vegetation vigor during the growing season in Kujataa over a twenty-one year period: 2000-2020. Satellite derived Normalized Difference Vegetation Index (NDVI) was collected for May, July and September for each year. Data was analyzed using both Remote Sensing techniques and mapped using GIS software.
Monitoring Long-term Vegetation Change across Kujataa, South Greenland
Kujataa is a dynamic region poised to grow. Situated on southern tip of Greenland, a resilient sheep farming and marine hunting population exists. Remnants of the first Norse settlement outside of Europe, forming in the 10th century and ending in the 15th century are visible throughout the region. Inuit hunting and farming communities formed at the end of the 18th century still exist in the present . In recent years, there has been a growing interest in international tourism. The Arctic region is warming at a faster rate than any other in the world. Conducting a vegetation analysis via high quality satellite-derived data is an effective way to monitor landscape change over time. For this study, the primary focus is on changes in vegetation vigor during the growing season in Kujataa over a twenty-one year period: 2000-2020. Satellite derived Normalized Difference Vegetation Index (NDVI) was collected for May, July and September for each year. Data was analyzed using both Remote Sensing techniques and mapped using GIS software.
