Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- <p>Conifers - West Virginia - Grant County.</p> <p>Conifers - West Virginia - Tucker County.</p> <p>Conifers - Remote sensing.</p> <p>Spatial ecology.</p> <p>Vegetation mapping - West Virginia.</p> (1)
- <p>Urban transportation.</p> <p>Transportation - Lexington (Ky.)</p> <p>Transportation - Kentucky - Fayette County.</p> (1)
- Change Detection (1)
- Geographic Information Systems (1)
- Normalized Difference Vegetation Index (1)
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
A Spatial And Temporal Analysis Of Conifers Using Remote Sensing And Gis, Michael Koon
A Spatial And Temporal Analysis Of Conifers Using Remote Sensing And Gis, Michael Koon
Theses, Dissertations and Capstones
Two sets of remotely sensed images, 1986 Landsat Multispectral Scanner and a 2000 Landsat Thematic Mapper +, were used in a change detection study to determine decline and growth of conifers in Grant and Tucker Counties. The images were registered, preprocessed for atmospheric effects, ratioed using Normalized Difference Vegetation Index, and categorized. A thematic change calculation was performed indicating growth and decline of vegetation. The resulting information was combined with ancillary data for GIS spatial analysis. The results showed an overall increase in vegetation and specifically on abandoned mine lands. Statistical tests showed decline occurred on steeper slopes, but was …
Urban Development And Effects To Transportation Systems Of Lexington, Fayette County, Kentucky, Wannaporn Jarupath
Urban Development And Effects To Transportation Systems Of Lexington, Fayette County, Kentucky, Wannaporn Jarupath
Theses, Dissertations and Capstones
Urban growth and its relationship to the transportation system of Lexington, Kentucky were investigated using temporal images of Landsat Thematic Mapper and multi-date line data. Land cover of the area was extracted using Remote Sensing and Geographic Information Systems Technologies. Change detection techniques were employed to identify areas of transformation between 1988 and 2000. Several digital image processes such as geometric registration, radiometric normalization, unsupervised classification, and accuracy assessment were applied to analyze the results. Vector analysis was utilized as well along with raster analysis to examine the effect of urban growth to the transportation system. Two datasets of line …