Date

6-2013

Degree Name

BS in Forestry and Natural Resources

Department

Natural Resources Management and Environmental Sciences Department

Advisor(s)

Russell White

Abstract

This project involved using aerial imagery and GIS procedures to automatically map the basic vegetation communities present within Montana de Oro State Park, CA: grassland, coastal scrub, bare ground, woodland, and riparian areas. 1m resolution color imagery of the park from the NAIP 2005 (National Agriculture Inventory Program) and 1m resolution LiDAR height data were also used to determine the locations of the different vegetation types in the park. This data was then classified by color using the interactive supervised classification tool in ArcGIS. Points were taken in the park using a GPS unit, and compared with the GIS results to test for the accuracy of the resultant map. The main goals of this project were to classify the vegetation types in Montana de Oro, and provide information that could be useful in the future. This project will also serve as a set of guidelines for students wishing to do similar projects using GIS. Through image classification tools in ArcGIS and field verification, we were able to accurately classify vegetation types in Montana de Oro and provide the basis for similar projects in the future.

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