A study on “Urbanization & Urban Land-use mapping ” was carried out using IRS Satellite data of LISS III and LISS IV covering Gandhinagar city. The GIS data like the Transport Network, Urban Habitation, Bridge; Water bodies (like Rivers, canals, etc) were used along with IRS Satellite data. Satellite data was analyzed using Q-GIS as well as ENVI Image Processing Software. Q-GIS was also used to generate various thematic layers like Transport Network, Urban Habitation, Water Bodies, etc. The urban development of Gandhinagar city oer the last 10 years was mapped and monitored using multilayer IRS Satellite data. The urban sprawl during 2001, 2006 & 2012 was mapped and urban growth was monitored to understand the urbanization process.The results of this study indicate that the urban growth in Gandhinagar city has increased to a large extent. The various thematic layers generated also helped to understand the development of transport network & urban growth within the city.

al a, 6100 ina a r t i c l e i n f o

Classical field theory

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

ne e in nit

Further reproduction or electronic distribution is not permitted. Planimetric positional error limits the accuracy of landscape change measurements based on features interpreted from high spatial resolution imagery (1 m), and this limitation depends on the magnitude of the positional error, the spatial heterogeneity of landscapes, and the spatial extent of the change detection window (the change detection resolution). For this reason, accuracy assessments of change measurements from feature-based approaches require careful evaluation of the impacts of positional errors across land-scapes differing in spatial heterogeneity at different change detection resolutions. We quantified such impacts by computing the false changes produced by spatially shifting and comparing high-resolution ecological maps derived by feature interpretation and ground interpretation of 1 m resolution Ikonos imagery of rural China and 0.3 m resolu-tion aerial photographs of suburban United States. Change detection error increased significantly as positional errors increased, as landscape heterogeneity increased, and as the change detection resolution became finer. Regression-derived relationships between change estimation error and positional error, change detection resolution, and landscape hetero-geneity allow calculation of the minimum change detection window size at which it is possible to obtain change meas-urements of a specified accuracy given any set of feature-based ecological maps and their positional error. Prediction of this “optimal change detection resolution ” is critical in producing reliable high-resolution change measurements from feature-based ecological maps.

of river-immersed topography

Principal component analysis applied to

Publication details, including instructions for authors and subscription information:

ground deformations monitoring by COSMO-SkyMed PSP SAR interferometry