Prediction of urban expansion by using land cover change detection approach

Bangladesh has been experiencing rapid urban expansion over the last few decades, contributing much to the region's land cover transition into the urban area. The study aims to employ geospatial modeling techniques to investigate land cover scenarios in the Pabna municipality of Bangladesh. The...

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Autores principales:	Md. Sohel Rana, Subrota Sarkar
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban expansion Land cover GIS Cellular automata Multi-layer Perceptron Neural Network Science (General) Q1-390 Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/44a4875c205e41ec82d017d9c9a9d5c6
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spelling	oai:doaj.org-article:44a4875c205e41ec82d017d9c9a9d5c62021-12-02T05:03:13ZPrediction of urban expansion by using land cover change detection approach2405-844010.1016/j.heliyon.2021.e08437https://doaj.org/article/44a4875c205e41ec82d017d9c9a9d5c62021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405844021025408https://doaj.org/toc/2405-8440Bangladesh has been experiencing rapid urban expansion over the last few decades, contributing much to the region's land cover transition into the urban area. The study aims to employ geospatial modeling techniques to investigate land cover scenarios in the Pabna municipality of Bangladesh. Therefore, the research examined Cellular Automata Markov and Multi-Layer Perceptron Markov models to detect land cover for 2023 and 2028. The study selected the Multi-Layer Perceptron Markov as the best fit model over Cellular Automata Markov based on the highest kappa value. The result reveals that urban area has increased from 3.39 to 8.79 km2 over 1998–2018. Urban expansion and its surrounding area are primarily occurring towards the northeast directions. However, the extent of urban build-up land will grow from 3.39 km2 in 1998 to 11.01 km2 in 2023 and 12.44 km2 in 2028. Moreover, the future land cover map delineated that the urban growth will expand in the northeast part of the study area. The scenario shown in this paper would assist urban planners in quantifying the urban growth under different land cover features and thus preparing proper strategic measures.Md. Sohel RanaSubrota SarkarElsevierarticleUrban expansionLand coverGISCellular automataMulti-layer Perceptron Neural NetworkScience (General)Q1-390Social sciences (General)H1-99ENHeliyon, Vol 7, Iss 11, Pp e08437- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban expansion Land cover GIS Cellular automata Multi-layer Perceptron Neural Network Science (General) Q1-390 Social sciences (General) H1-99
spellingShingle	Urban expansion Land cover GIS Cellular automata Multi-layer Perceptron Neural Network Science (General) Q1-390 Social sciences (General) H1-99 Md. Sohel Rana Subrota Sarkar Prediction of urban expansion by using land cover change detection approach
description	Bangladesh has been experiencing rapid urban expansion over the last few decades, contributing much to the region's land cover transition into the urban area. The study aims to employ geospatial modeling techniques to investigate land cover scenarios in the Pabna municipality of Bangladesh. Therefore, the research examined Cellular Automata Markov and Multi-Layer Perceptron Markov models to detect land cover for 2023 and 2028. The study selected the Multi-Layer Perceptron Markov as the best fit model over Cellular Automata Markov based on the highest kappa value. The result reveals that urban area has increased from 3.39 to 8.79 km2 over 1998–2018. Urban expansion and its surrounding area are primarily occurring towards the northeast directions. However, the extent of urban build-up land will grow from 3.39 km2 in 1998 to 11.01 km2 in 2023 and 12.44 km2 in 2028. Moreover, the future land cover map delineated that the urban growth will expand in the northeast part of the study area. The scenario shown in this paper would assist urban planners in quantifying the urban growth under different land cover features and thus preparing proper strategic measures.
format	article
author	Md. Sohel Rana Subrota Sarkar
author_facet	Md. Sohel Rana Subrota Sarkar
author_sort	Md. Sohel Rana
title	Prediction of urban expansion by using land cover change detection approach
title_short	Prediction of urban expansion by using land cover change detection approach
title_full	Prediction of urban expansion by using land cover change detection approach
title_fullStr	Prediction of urban expansion by using land cover change detection approach
title_full_unstemmed	Prediction of urban expansion by using land cover change detection approach
title_sort	prediction of urban expansion by using land cover change detection approach
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/44a4875c205e41ec82d017d9c9a9d5c6
work_keys_str_mv	AT mdsohelrana predictionofurbanexpansionbyusinglandcoverchangedetectionapproach AT subrotasarkar predictionofurbanexpansionbyusinglandcoverchangedetectionapproach
_version_	1718400705524400128

Prediction of urban expansion by using land cover change detection approach

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