Date
Spring 2014
Document Type
Poster Session
Department
Geographic Information Systems
Advisor
Firooza Pavri
Keywords
India, classification, gis, urban areas
Abstract
Slums are contiguous settlements. Inhabitants lack access to safe water, sanitation and sewage infrastructure, secure housing tenure, uncrowded living space, and permanent, durable housing. Addressing these problematic trends begins with identifying contiguous settlements within Mumbai’s urban fabric. Classifications can be performed using satellite images and remote sensing techniques to yield accurate results. Through literature reviews, socio-cultural analysis, and examination of high resolution satellite imagery, this project aims to develop a systematic, accessible, and reproducible method of classifying Mumbai’s slums.
Start Date
4-1-2014 12:00 AM
Recommended Citation
St. Amand, Frankie, "Identification of Slums in Mumbai, India: Unsupervised Classification Techniques" (2014). Thinking Matters Symposium Archive. 20.
https://digitalcommons.usm.maine.edu/thinking_matters/20
