A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An analysis of urban tree communities using Landsat Thematic Mapper data
AbstractHighly diverse tree communities of natural and planted forests are found in distinct microhabitats in urban settings. The purpose of this paper is to examine the possibility of locating and analyzing urban tree communities at a relatively low cost, using the new satellite imagery data collected from the U.S. Landsat Thematic Mapper (TM). Mobile, Alabama, is the study area. A multichannel TM data set of the study area is analyzed using the hierarchical clustering and minimum-distance classification procedures of the Earth Resources Laboratory Applications Software. The data analysis, at one detail level chosen for this study, reveals 23 spectral classes of trees. Ground checking has verified that the 23 spectral classes include 8 distinct tree communities of remnant natural forests and 15, of cultivated residential forests. These tree communities, developed naturally or planted, vary with species composition, age, density, crown closure, and vertical structure. The detailed analysis of urban forests using TM data assists foresters and planners in the modification or maintenance of urban trees suited to local site conditions. It provides a database for achieving a balanced forest structure and composition that will promote neighborhood planning and the health, safety, and welfare of urban residents. The study has also disclosed the potential of TM data in creating or updating economic geographic information systems of tree communities in metropolitan areas to hasten urban forestry management and comparative research.
An analysis of urban tree communities using Landsat Thematic Mapper data
AbstractHighly diverse tree communities of natural and planted forests are found in distinct microhabitats in urban settings. The purpose of this paper is to examine the possibility of locating and analyzing urban tree communities at a relatively low cost, using the new satellite imagery data collected from the U.S. Landsat Thematic Mapper (TM). Mobile, Alabama, is the study area. A multichannel TM data set of the study area is analyzed using the hierarchical clustering and minimum-distance classification procedures of the Earth Resources Laboratory Applications Software. The data analysis, at one detail level chosen for this study, reveals 23 spectral classes of trees. Ground checking has verified that the 23 spectral classes include 8 distinct tree communities of remnant natural forests and 15, of cultivated residential forests. These tree communities, developed naturally or planted, vary with species composition, age, density, crown closure, and vertical structure. The detailed analysis of urban forests using TM data assists foresters and planners in the modification or maintenance of urban trees suited to local site conditions. It provides a database for achieving a balanced forest structure and composition that will promote neighborhood planning and the health, safety, and welfare of urban residents. The study has also disclosed the potential of TM data in creating or updating economic geographic information systems of tree communities in metropolitan areas to hasten urban forestry management and comparative research.
An analysis of urban tree communities using Landsat Thematic Mapper data
Wang, Su-Chang (author)
Landscape and Urban Planning ; 15 ; 11-22
1987-06-18
12 pages
Article (Journal)
Electronic Resource
English
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