Analysis of urban growth and future prediction in hyderabad metropolitan region using landsat satellite data | |
| Author | Bheemavaram Preetham |
| Call Number | AIT Thesis no.RS-17-33 |
| Subject(s) | Landsat satellites Urban geography |
| Note | A thesis report submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-17-33 |
| Abstract | Rapid urban expansion in cities have been observed now-a-days. This leads to reduction in quality of life of a city residents and ecological sustainability of the region. In evolving countries, people living in urban areas demands the need of remote sensing approaches. Spatial analysis methods like processing of digital image and GIS can be utilized at monitoring and organizing requirements since they allow the stating of total land cover in specified range. Analysis on the dynamics of buildup area can be understood by measuring urban growth patterns and evolution procedure of the past trends and teaches to manage the urban evolution planning of the future urban expansion. The unified application includes remote sensing, GIS and models of urban growth demonstrates the new way for analyzing, monitoring and modelling the urban growth patterns. In this work, Hyderabad metropolitan region is considered as a study area and urban growth has been examined for three years and predicted the expansion in urban for the year 2020 and 2030.Three satellite images of year 2005,2010 and 2015 were used to analyze the urban growth in Hyderabad metropolitan region. After Processing the images, LULC maps were classified in the software of QGIS. Generally, the main aim of any planned organization is to model the future growth and in this paper, Cellular Automata(CA) model is utilized for prediction. Before processing to CA simulation, ANN (Artificial Neural Network) tool which had been utilized and determinedtherulesof transitionand the valuesof parameterautomatically through theprocessof trainingdependedon the information of past. Therefore, CA model was validated and simulated against actual 2015 LULC image and found that the simulated map delivered the fine outcomes, and hence, urban growth was predicted for 2020 and 2030. The outcomes displayed that buildup area of Hyderabad region has been hiked from 522.35 km² in 2005 to 816.43 km² in 2010 and finally to 1817.35 km² in 2015. An accuracy of more than 80% was acquired in three stages. From this work, we learned that existing urban is the one of the main influence factor for urban expansion. The finalized maps and analysis are also presented for understanding the extent of urban growth. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-17-33 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Miyazaki, Hiroyuki |
| Examination Committee(s) | Tripathi, Nitin Kumar;Sarawut Ninsawat |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2017 |