Geospatial modelling of human-induced wetland fire of semi-fossorial turtles in Palo Verde, Costa Rica

Authors: Papia Rozario*, Carleton College, Buddhika Madurapperuma , Humboldt State University, Yijun Wang, Carleton College
Topics: Remote Sensing, Geographic Information Science and Systems
Keywords: wetland fire, NDVI, hyperspectral analysis
Session Type: Poster
Day: 4/13/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded

The study develops site specific spatial modeling using remote sensing techniques to extrapolate the burn patterns of semi-fossorial turtles in Palo Verde, Costa Rica. Terrain physical features and vegetation characteristics were examined to make fire risk models and to quantify probable burned areas. Spectral signatures of the vegetation areas were captured through hyper-spectral analysis and Normalized Difference Vegetation Index (NDVI). Species like semi-fossorial turtles are incapable of rapid overland motilities thus wetland fires pose a potential threat to such species. Human induced fires by poachers are a common occurrence in such areas to gain access to these species. This paper aims at prioritizing areas which are at a higher risk from fire and model spatial adaptations in relation to the direction of fire movement within the affected wetlands. This assessment will help wildlife personnel in managing the disturbed wetland ecosystem.

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