Comparison of Landsat MSS and TM data for urban land-use classification

Comparison of Landsat MSS and TM data for urban land-use classification

A supervised classification of digital Landsat Multispectral Scanner (MSS) data for the Raleigh, North Carolina, metropolitan area was conducted in 1982. These data were categorized into 10 land-use/land-cover types representative of the area. Digital Landsat Thematic Mapper (TM) data, for the Ralei...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 1987, Vol.25 (2), p.238-243
Hauptverfasser: KHORRAM, S, BROCKHAUS, J. A, CHESHIRE, H. M
Format: Artikel
Sprache:eng
Schlagworte:
classification
Earth, ocean, space
Exact sciences and technology
External geophysics
Geodesy and gravity
land use
monitoring
remote sensing
urban planning
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container_title IEEE transactions on geoscience and remote sensing
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creator KHORRAM, S
BROCKHAUS, J. A
CHESHIRE, H. M
description A supervised classification of digital Landsat Multispectral Scanner (MSS) data for the Raleigh, North Carolina, metropolitan area was conducted in 1982. These data were categorized into 10 land-use/land-cover types representative of the area. Digital Landsat Thematic Mapper (TM) data, for the Raleigh metropolitan area, were obtained in 1985 and analyzed from comparison to the MSS data. A stratified classification based upon principal components analysis was applied to the TM data, classifying the data into the 10 land-use/land-cover categories used in the analysis of the MSS data. Comparison of photo-interpreted land-use types and Landsat derived land-use types indicates that TM data provides significantly higher classification accuracies that can be obtained from MSS data.
doi_str_mv 10.1109/TGRS.1987.289823
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subjects classification
Earth, ocean, space
Exact sciences and technology
External geophysics
Geodesy and gravity
land use
monitoring
remote sensing
urban planning
title Comparison of Landsat MSS and TM data for urban land-use classification
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