dc.creator | Falter, Matthew Palmer | |
dc.date.accessioned | 2012-06-07T22:40:26Z | |
dc.date.available | 2012-06-07T22:40:26Z | |
dc.date.created | 1995 | |
dc.date.issued | 1995 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1995-THESIS-F35 | |
dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
dc.description | Includes bibliographical references. | en |
dc.description | Issued also on microfiche from Lange Micrographics. | en |
dc.description.abstract | The purpose of this study was to compare the results of a computer classified satellite image to human classified aerial Photographs, and to determine the accuracy of the satellite image for land-use/land-cover mapping of forested areas. One 1:24,000 quadrangle map (Chester) was used to test the supervised and unsupervised classification methods and a second (Boggy Lake) was used to verify the classification. The resulting maps were then tested for accuracy by comparing them to human classified aerial photographs of the same area. Verification was accomplished using systematically located points with a random start. Each map was analyzed for errors of omission and errors of commission. The results of this study showed accuracy levels of the satellite images as compared to the aerial photographs were below 50 percent for both quadrangle map areas and both classification methods. No significant difference was detected between the supervised and the unsupervised classification methods for either quadrangle map area. The verification process using the Boggy Lake Quadrangle map, did not show a significant difference from the developmental map, the Chester Quadrangle, for either classification method. | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.subject | forestry. | en |
dc.subject | Major forestry. | en |
dc.title | Comparing the accuracy of machine classified landsat imagery to manually delineated aerial photographs for county appraisal district use | en |
dc.type | Thesis | en |
thesis.degree.discipline | forestry | en |
thesis.degree.name | M.S. | en |
thesis.degree.level | Masters | en |
dc.type.genre | thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |