International Journal of Networked and Distributed Computing

Volume 7, Issue 1, December 2018, Pages 1 - 10

Satellite Image Based Characterization for Monitoring Urbanization and Land Cover Change

Authors
Farhan Rahman Wasee*, Rahman Mohammad Asif Amin, Zareen Tasnim Raisa, Sadia Chowdhury, Tanisha Nourin Alam, Rashedur Mohammad Rahman
Department of Electrical and Computer Engineering, North South University, Plot 15, Block B, Bashundhara R/A, Dhaka 1216, Bangladesh
*Corresponding author. Email: farhan.wasee@northsouth.edu
Corresponding Author
Farhan Rahman Wasee
Received 12 October 2018, Accepted 5 November 2018, Available Online 31 December 2018.
DOI
10.2991/ijndc.2018.7.1.1How to use a DOI?
Keywords
Urbanization; remote sensing; satellite images; multispectral characteristics
Abstract

Land surface processes have become a great concern in the context of global change and increased natural hazards all over the world. In this paper, dynamic characteristics of land cover changes have been investigated over a period of about three and half decades (1972–2016). This study focuses on the temporally evolving geo-environmental characteristics of Dhaka (Capital City) in Bangladesh. The analysis has been performed in a platform of Geographical Information System (GIS) configured with Remote Sensing (RS) system and ground-based RS measurement facilities. Radiometric analyses of multi-sensor time series satellite data followed by a process of spectral characterization have been performed. Special focus has been made on biophysical properties of surface features, geo-environmental configuration, land physiography, properties of vegetation and co-existing surface features. Earth Resources Data Analysis System (ERDAS) Imagine Image Processing Software and ArcGIS software have been utilized. It appears that both energy and water regimes have been affected particularly across the outer end of the side encroaching the city. In general, the outer side of the city consists of low land areas that is used to drain out water and to hold run-off water from the city. Feature-based analysis of satellite-derived radiative signal demonstrates dependencies on biophysical characteristics of surface features in response to human intervention under demographic pressure. Important class categories, particularly, built-up areas, crop land, water bodies have been studied to figure out the zones experiencing unplanned human interventions due to recent urban growth. This generalized pattern of urban growth appears to be a useful finding for urban planning and policy for the government of Bangladesh. Finally, it is evident that integration of space-based RS technology with GIS provide better platform to perform such activities.

Copyright
© 2018 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Networked and Distributed Computing
Volume-Issue
7 - 1
Pages
1 - 10
Publication Date
2018/12/31
ISSN (Online)
2211-7946
ISSN (Print)
2211-7938
DOI
10.2991/ijndc.2018.7.1.1How to use a DOI?
Copyright
© 2018 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Farhan Rahman Wasee
AU  - Rahman Mohammad Asif Amin
AU  - Zareen Tasnim Raisa
AU  - Sadia Chowdhury
AU  - Tanisha Nourin Alam
AU  - Rashedur Mohammad Rahman
PY  - 2018
DA  - 2018/12/31
TI  - Satellite Image Based Characterization for Monitoring Urbanization and Land Cover Change
JO  - International Journal of Networked and Distributed Computing
SP  - 1
EP  - 10
VL  - 7
IS  - 1
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2018.7.1.1
DO  - 10.2991/ijndc.2018.7.1.1
ID  - Wasee2018
ER  -