Off-campus South Dakota State University users: To download campus access theses, please use the following link to log into our proxy server with your South Dakota State University ID and password.
Non-South Dakota State University users: Please talk to your librarian about requesting this thesis through interlibrary loan.
Thesis - University Access Only
Master of Science (MS)
Forest, Deforestation, Tropics, Landsat, Reflectance, Land use, Land cover, Validation, Field data, Congo, Democratic, Rupublic of Congo
Forest ecosystems represent an important component of natural systems by regulating climate and biogeochemical cycles, and as a key animal and plant habitat. Despite their importance, several authors have shown global evidence of deforestation, especially in the tropics. To better understand the process and the mechanisms of deforestation, this research involved a prototype field validation of tropical forest cover extent and change for the decade 2000-2010. An existing forest cover map made as part of the United States Agency for International Development (USAID) Central Africa Regional Program for the Environment (CARPE) was evaluated with field data. The field data quantified the utility of Landsat Enhanced Thematic Mapper Plus (ETM+) imagery in characterizing tree-dominated cover types, as well as their disturbance and conversion to cropland between 2000 and 2010. Landsat reflectance data and in situ field observations (trees height and circumference) were used to determine the best Landsat bands for quantifying deforestation, revealing the limitations of Landsat, particularly in discriminating primary forests from mature regrowing forests.
Library of Congress Subject Headings
Forest mapping--Congo(Democratic Republic)--Bas-Congo
Landscape changes--Congo(Democratic Republic)--Bas-Congo
Land use mapping--Congo(Democratic Republic)--Bas-Congo
Includes bibliographical references (pages 53-59)
Number of Pages
South Dakota State University
In Copyright - Educational Use Permitted
Mfuka, Confiance L., "Characterizing Spectral Signatures for Forest Cover and Change Using Field Data: A Case-Study of Kimvula Territory in Democratic Republic of Congo from 2000 to 2010" (2013). Electronic Theses and Dissertations. 1608.