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Reseach Article

Article:SUPERVISED/Unsupervised Classification of LULC Using Remotely Sensed data for Coimbatore city, India

by Y.Babykalpana, Dr. K.ThanushKodi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 7
Year of Publication: 2010
Authors: Y.Babykalpana, Dr. K.ThanushKodi
10.5120/679-956

Y.Babykalpana, Dr. K.ThanushKodi . Article:SUPERVISED/Unsupervised Classification of LULC Using Remotely Sensed data for Coimbatore city, India. International Journal of Computer Applications. 2, 7 ( June 2010), 26-30. DOI=10.5120/679-956

@article{ 10.5120/679-956,
author = { Y.Babykalpana, Dr. K.ThanushKodi },
title = { Article:SUPERVISED/Unsupervised Classification of LULC Using Remotely Sensed data for Coimbatore city, India },
journal = { International Journal of Computer Applications },
issue_date = { June 2010 },
volume = { 2 },
number = { 7 },
month = { June },
year = { 2010 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number7/679-956/ },
doi = { 10.5120/679-956 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:50:22.063931+05:30
%A Y.Babykalpana
%A Dr. K.ThanushKodi
%T Article:SUPERVISED/Unsupervised Classification of LULC Using Remotely Sensed data for Coimbatore city, India
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 7
%P 26-30
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Landuse / Landcover system espoused by almost all Organisations and scientists, engineers and remote sensing community who are involved in mapping of earth surface features, is a system which is derived from the united States Geological Survey (USGS) LULC classification system. The application of RS and GIS involves determining of homogeneous zones, trend analysis of land use integration of new area changes or change detection etc.,

References
Index Terms

Computer Science
Information Sciences

Keywords

Espouse LULC classification Profusion information Multi-scale amalgamation Change detection Remote sensing images