2018
DOI: 10.5194/isprs-annals-iv-5-79-2018
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Understanding Current and Future Landuse Dynamics With Land Surface Temperature Alterations: A Case Study of Chandigarh

Abstract: <p><strong>Abstract.</strong> Conversion of pervious layer to impervious layer through unplanned urbanization has been a major cause of natural disturbances across the world. However, urbanization is considered a metric that defines the socio-economic value of the city planning and management, if unplanned leads to many serious implications on the environment such as ecological imbalance, increased concentration of pollutants, loss of bio-diversity, etc. A steep increase in population growth,… Show more

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Cited by 20 publications
(13 citation statements)
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“…Land use classification was carried out using Gaussian Maximum Likelihood Classifier (GLMC) by classifying the data to five land use classes (Table 5). Accuracy assessment of land use classifications is performed using field observations and secondary data from the virtual earth data bases though overall accuracy and kappa statistics (Bhat et al, 2015;Nimish et al, 2018), 60% of the training data were used for classification and 40% were used for accuracy assessment.…”
Section: Data Processing and Analysismentioning
confidence: 99%
“…Land use classification was carried out using Gaussian Maximum Likelihood Classifier (GLMC) by classifying the data to five land use classes (Table 5). Accuracy assessment of land use classifications is performed using field observations and secondary data from the virtual earth data bases though overall accuracy and kappa statistics (Bhat et al, 2015;Nimish et al, 2018), 60% of the training data were used for classification and 40% were used for accuracy assessment.…”
Section: Data Processing and Analysismentioning
confidence: 99%
“…SLEUTH is a CA-based urban growth model, started as open source, has witnessed numerous applications over different parts of the world. The acronym of SLEUTH stands for slope, land use, excluded, urban, transportation and hillshade, the layers used as input for the model, consists of C-language, using UNIX or UNIX based operating systems (Nimish et al, 2018;Chandan et al, 2019). It has an ability to predict urban/non-urban land use dynamics based on two sub models: urban growth model (UGM) and Deltron land model (DLM) (Dietzel & Clarke, 2004 to Gorgan area of Iran.…”
Section: Figure 1 Trends Of Urbanization In India 1901-2011mentioning
confidence: 99%
“…LST is the main parameter that affects earth's natural cycles (biogeochemical cycle, water cycle, Nitrogen cycle, Carbon cycle, Phosphorous cycle, etc. ), rainfall pattern, regional biodiversity and contributes to climate change at micro-meso-macro level Nimish et al, 2018). LST serves as a vital parameter for diverse applications such as vegetation health monitoring, hydrological modeling, urban climatic studies, environmental parameter changes, Greenhouse gases estimation, Urban Heat Islands (UHI), etc.…”
Section: Introductionmentioning
confidence: 99%