ENGS 89/90 Reports
Year of Graduation
2024
Sponsor
Professor Jonathan Chipman
Project Advisor
Xiaoyao Fan
Instructor
Solomon Diamond
Document Type
Report
Publication Date
2024
Abstract
In this project we develop a user-friendly remote sensing program which, given satellite data, accurately returns locations of !nara melons—a keystone plant species local to the Namib Desert of Namibia. To do so, we utilize pre-existing image segmentation techniques in addition to employing a satellite frequency band-based classification approach on each image segment. This tool can be used to provide important information about how !nara distribution is changing temporally and spatially, an indicator for changes in the hydro-climate of the Namib Desert, thus extending researchers’ ability to track and understand climate change in this remote region in an affordable and effective way. Additionally, the program can be used by both local stakeholders and global researchers, generating deeper understanding of climate change in arid regions.
Dartmouth Digital Commons Citation
Cote, Luc; Donovan, Elise; Lawler, Dylan; McCollor, Mara; and Weingart, Kendall, "Automated Mapping of !Nara in Namibia’s Ephemeral River Corridors" (2024). ENGS 89/90 Reports. 109.
https://digitalcommons.dartmouth.edu/engs89_90/109
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Available to Dartmouth community via local IP address.
