It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
The present study is conducted to simulate the spatial concentration of urban built up lands in Mysore City. In order to model the urban concentration, the method of Shannon entropy were utilized which gives degree of compactness or degree of dispersion. The formulae have brought to the Geographical Information System environment. Study used 3 set of remote sensing Landsat data with 11 years temporal resolution such as 1992, 2003 and 2014. The Urban built up land were extracted using the visual image interpretation and supervised classification scheme with set of sample signature file. Then 150m fishnet have created to define an equidistant zones. After all, Landscape metrics of Shannon entropy have computed and the Shannon entropy for the year 1992, 2003 and 2014 showed the value 0.99880, 0.96945 and 0.9437 respectively, which indicates the concentration of Urban built up lands is compacting year to year.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer