Pregled bibliografske jedinice broj: 1162622
Urban space change and future prediction of Kanpur Nagar, Uttar Pradesh using EO data
Urban space change and future prediction of Kanpur Nagar, Uttar Pradesh using EO data // Environmental engineering = Inženjerstvo okoliša, 8 (2021), 1-2; 72-86 doi:10.37023/ee.8.1-2.10 (međunarodna recenzija, članak, stručni)
CROSBI ID: 1162622 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Urban space change and future prediction of Kanpur
Nagar, Uttar Pradesh using EO data
Autori
Sharma, Shubham ; Singh, Suraj Kumar ; Kanga, Shruti ; Kranjčić, Nikola ; Đurin, Bojan
Izvornik
Environmental engineering = Inženjerstvo okoliša (1849-4714) 8
(2021), 1-2;
72-86
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, stručni
Ključne riječi
Urban growth ; Support vector machine ; Change detection ; Urban simulation model ; CA- Markov model
Sažetak
Urban Land use changes, measurements, and the analysis of rate trends of growth would help in resources management and planning, etc. In this study, we analyze the urban change dynamics using a support vector machine model. This method derives the urban and rural land-use change and various components, such as population growth, built-up areas, and other utilities. Urban growth increases rapidly due to exponential growth of population, industrial growth, etc. The population growth also affects the availability of various purposes in its spatial distribution. In this present study, we carried out using multi-temporal satellite remote sensing data Landsat MSS (Multispectral scanner), ETM+ (Enhanced thematic mapper), OLI (Operational land imager) for the analysis of urban change dynamics between years 1980-1990, 1990-2003, 2012-2020 in Kanpur Nagar city in the state of Uttar Pradesh in India. In our study, we used SVM (Support Vector Machine) Model to analyze the urban change dynamics. A support vector machine classification technique was applied to generate the LULC maps using Landsat images of the years 1980, 1990, 2003, and 2020. Envi and ArcGIS software had used to identify the land cover changes and the applying urban simulation model (CA- Markov model) in Idrisi selva edition 17.0 software. The LULC maps of 2003 and 2020 were used to simulate the LULC projected map for 2050 using (Cellular automata) CA- Markov based simulation model.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija, Građevinarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Geotehnički fakultet, Varaždin,
Sveučilište Sjever, Koprivnica
