Marshall University Marshall Digital Scholar Theses, Dissertations and Capstones 1-1-2007 Satellite Image Processing for Biodiversity Conservation and Environmental Modeling in Kyrgyz Republic National Park Galina N. Fet
[email protected] Follow this and additional works at: http://mds.marshall.edu/etd Part of the Earth Sciences Commons, and the Forest Sciences Commons Recommended Citation Fet, Galina N., "Satellite Image Processing for Biodiversity Conservation and Environmental Modeling in Kyrgyz Republic National Park" (2007). Theses, Dissertations and Capstones. Paper 582. This Thesis is brought to you for free and open access by Marshall Digital Scholar. It has been accepted for inclusion in Theses, Dissertations and Capstones by an authorized administrator of Marshall Digital Scholar. For more information, please contact
[email protected]. Satellite Image Processing for Biodiversity Conservation and Environmental Modeling in Kyrgyz Republic National Park Thesis submitted to Marshall University Graduate College of Huntington, West Virginia In partial fulfillment of the Requirements for the Degree of Master of Science in Physical Science with Emphasis in Geobiophysical Modeling by Galina N. Fet Dr. Ralph E. Oberly, PhD Committee Chairperson, Physical Sciences Geobiophysical Modeling Graduate Program Dr. James O. Brumfield, PhD Thesis Advisor, Physical Sciences Geobiophysical Modeling Graduate Program Dr. Anita Walz, PhD, Geography Department, Graduate Committee Member Marshall University 2007 Keywords: Kyrgyz Republic, Ala Archa, Tien-Shan, Central Asia, satellite image processing, remote sensing, biodiversity, conservation, fungi, vegetation mapping, species database, mountainous conifer forest, juniper, spruce, ASTER, SRTM, ER Mapper, ESRI ArcGIS/ArcInfo. ABSTRACT Galina N. Fet Satellite Image Processing for Biodiversity Conservation and Environmental Modeling in Kyrgyz Republic National Park There is a need for extensive surveys of living organisms at a global scale; digital data exchange and storage is an essential part of such studies.