During my internship with the Everglades Foundation, I worked on a variety of GIS and mapping projects, including a historical ecology analysis of the Florida Everglades. In collaboration with the senior GIS Scientist at the Everglades Foundation, Rosanna Rivero, and Noosha Mahmoudi, a PhD student at FIU, a vegetation map of South Florida produced in 1913 was transformed for GIS compatibility using ArcGIS, Adobe Illustrator, and Photoshop. The final result is a polygon shapefile (illustrated above) that will be applied toward land cover change analysis and assessment of historical environmental conditions in the Everglades. The project was presented in the form of a poster at the 2009 NACIS conference in Sacramento, California, as well as the 2009 South Florida GIS Expo, where it won first place in the poster contest.
Land Cover Mapping
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Sep 09
Optical Remote Sensing and Land Classification in Maine

This goal of this project was to classify three different types of satellite imagery (ASTER, Landsat ETM+, and SPOT) in terms of deciduous and evergreen forest, water, built structures, and cleared land. The study area is the region surrounding Augusta, Maine, in the north-eastern United States. A soft-classification method known as neural network classification was utilized. Rather than each pixel being assigned to one class, as in hard-classification methods, the soft-classification process assigns a degree of class membership to each pixel for the five land-cover types. Continue reading →
