Landscape analysis through remote sensing and GIS techniques: a case study of Astrakhan, Russia

Komal Choudhary; Mukesh Singh Boori; Alexander Kupriyanov

doi:10.1117/12.2266245

8 February 2017 Landscape analysis through remote sensing and GIS techniques: a case study of Astrakhan, Russia

Komal Choudhary, Mukesh Singh Boori, Alexander Kupriyanov

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102251U (2017) https://doi.org/10.1117/12.2266245
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

Abstract

The present study illustrates the spatial-temporal dynamics of Land use/cover change in Astrakhan city, Russia. Landsat satellite imageries of three different time periods of 2000, 2007 and 2015 were acquired by earth explorer website and quantify the changes in the Astrakhan. In this study maximum-likelihood supervised classification along with post-classification change detection was applied to satellite images for 2000, 2007 and 2015 in order to map land use/cover changes. The land use/cover study was classified into five major class’s viz. agriculture, bare-land, settlements, vegetation and water body. The classification results were then further refined using ancillary data, visual interpretation and expert knowledge of the area along with GIS. After post-classification change detection a change image form the cross-tabulations were generated. The result shows extensive vegetation degradation and water logging in different parts of the study area.

Citation Download Citation

Komal Choudhary, Mukesh Singh Boori, and Alexander Kupriyanov "Landscape analysis through remote sensing and GIS techniques: a case study of Astrakhan, Russia", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251U (8 February 2017); https://doi.org/10.1117/12.2266245

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available