TY - JOUR
T1 - Expert system classification of urban land use/cover for Delhi, India
AU - Wentz, Elizabeth
AU - Nelson, David
AU - Rahman, Atiqur
AU - Stefanov, William
AU - Roy, Shoursaseni Sen
N1 - Funding Information:
Funding for this research was provided by National Aeronautics and Space Administration (NASA), Philip Christensen, PI (no. NNG04GO57G).
PY - 2008/8/10
Y1 - 2008/8/10
N2 - This study presents the results of classifying land use/land cover for Delhi, India using an expert system approach. For this study Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data of 22 September 2003 were used. The research goals of this project are two-fold. In one respect, the research goal is to report on the extent covered by urbanization using the classified image. Thirteen different land-cover categories were identified with an 85.55% overall classification accuracy based on 256 random points for validation and 50 on the ground observations. Secondly, we report on our efforts to duplicate an expert system model previously developed for Phoenix Arizona as a generalized approach for urban land use classification. Results suggest that while some of the methodology could be duplicated, there are local factors (e.g. data availability and specific land features) that required the approach to be modified.
AB - This study presents the results of classifying land use/land cover for Delhi, India using an expert system approach. For this study Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data of 22 September 2003 were used. The research goals of this project are two-fold. In one respect, the research goal is to report on the extent covered by urbanization using the classified image. Thirteen different land-cover categories were identified with an 85.55% overall classification accuracy based on 256 random points for validation and 50 on the ground observations. Secondly, we report on our efforts to duplicate an expert system model previously developed for Phoenix Arizona as a generalized approach for urban land use classification. Results suggest that while some of the methodology could be duplicated, there are local factors (e.g. data availability and specific land features) that required the approach to be modified.
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U2 - 10.1080/01431160801905497
DO - 10.1080/01431160801905497
M3 - Article
AN - SCOPUS:48249111056
SN - 0143-1161
VL - 29
SP - 4405
EP - 4427
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 15
ER -