Remote Sensing of Northwest Himalayan Ecosystems 2018
DOI: 10.1007/978-981-13-2128-3_20
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Urban Settlement Pattern and Growth Dynamics in Northwest Himalaya

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Cited by 6 publications
(3 citation statements)
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“…Decadal variations in Landsat images are analysed using RS and GIS to determine the direction of urban expansion. Maithani et al (2019) studied urban settlements in the North West Himalayas. The population pressure is responsible for growth dynamics in this region.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Decadal variations in Landsat images are analysed using RS and GIS to determine the direction of urban expansion. Maithani et al (2019) studied urban settlements in the North West Himalayas. The population pressure is responsible for growth dynamics in this region.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Similarly, Dinda et al (2019) successfully used the Normalized Difference Built-up Index, Shannon's entropy and simulated urban growth by Markov Chain model in Midnapore town, India. Recently, Maithani et al (2019) studied the urban settlement pattern and growth dynamics in Doon valley, Uttarakhand using supervised classification (LISS II, LISS III, Landsat TM data) and Human Settlement Index (DMSP-OLS nighttime; MODIS NDVI data). Later, they performed urban growth modelling using an artificial neural network (ANN)-based model demonstrating its importance over other models in terms of it being data-driven and reducing subjectivity in the urban modelling process.…”
Section: Challenges and Opportunitiesmentioning
confidence: 99%
“…However, this urban growth pattern has a lot of disparity, with the growth being concentrated in the four (04) foot hill districts of Dehradun, Haridwar, Nainital and Udham Singh Nagar while the rest of the nine (09) districts have an urbanization rate of less than 20%. Among the four foothill districts Dehradun has the highest urbanization rate of 56% (Maithani et al 2019). This has raised concerns regarding the effects of urban expansion on the environment and the susceptibility of cities to various risks.…”
Section: Introductionmentioning
confidence: 99%