Classifying Forest Cover Type using Cartographic Features
نویسنده
چکیده
Given elevation, hydrologic, soil, and sunlight data can we predict what type of tree would be in a small patch of forest? Our project attempts to predict the predominant type of tree in sections of wooded area. Understanding forest composition is a valuable aspect of managing the health and vitality of our wilderness areas. Classifying cover type can help further research regarding forest fire susceptibility, the spread of the Mountain Pine Beetle infestion[1], and de/reforestation concerns. Forest cover type data is often collected by hand or computed using remote sensing techniques, e.g. satellite imagery. Such processes are both time and resource intensive [2]. In this report, we aim to predict forest cover type using cartographic data and a variety of classification algorithms.
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