Paper
29 August 2016 Assessment of anticipated runoff because of impervious surface increase in Pune Urban Catchments, India: a remote sensing approach
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333T (2016) https://doi.org/10.1117/12.2245397
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
Unbalanced economic growth of cities in developing countries in recent past has affected urban environment adversely. Rapid urbanization has led to increase in the impervious surface within urban landscape. Further, this increase is associated with partial or complete loss of natural drainage in urban catchment area. This paper presents anticipated increase in runoff within a urban catchment area of Pune-Pimpri-Chinchwad Municipal Corporation (PPCMC), India due to increase in the impervious surface over a decade. We used Landsat 7 images from 2001-2014 for detecting impervious surfaces within the region. Supervised classification of the area was done using Support Vector Machine (SVM). Digital Elevation Image (DEM) is acquired from CARTOSAT-1 for analysis of various catchment basins present in region. Finally we calculated runoff for 2001 and 2014 using rational flow equation. The comparison of 2001 and 2014 for PPCMC indicates increase in urban runoff by 87.8 percent just because of increase in impervious surface.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piyush Yadav and Shailesh Deshpande "Assessment of anticipated runoff because of impervious surface increase in Pune Urban Catchments, India: a remote sensing approach", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333T (29 August 2016); https://doi.org/10.1117/12.2245397
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Earth observing sensors

Landsat

Remote sensing

Image classification

Sensors

Spatial resolution

Agriculture

RELATED CONTENT


Back to Top