GARIMA NAUTIYAL

Mrs. GARIMA NAUTIYAL


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 September 2020 in Journal of the Indian Society of Remote Sensing
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Journal Article
Closed access
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SMSandeep Maithani
Sandeep Maithani
GNGARIMA NAUTIYAL
GARIMA NAUTIYAL
ASArchana Sharma
Archana Sharma

5 August 2022 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Closed access
PDF file
SMSandeep Maithani
Sandeep Maithani
GNGARIMA NAUTIYAL
GARIMA NAUTIYAL
ASArchana Sharma
Archana Sharma
Surendra Kumar SharmaSurendra Kumar Sharma
Surendra Kumar Sharma

14 February 2021 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Closed access
PDF file
GNGARIMA NAUTIYAL
GARIMA NAUTIYAL
SMSandeep Maithani
Sandeep Maithani
ASArchana Sharma
Archana Sharma

18 May 2020 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Closed access
PDF file
GNGARIMA NAUTIYAL
GARIMA NAUTIYAL
SMSandeep Maithani
Sandeep Maithani
ASArchana Sharma
Archana Sharma

17 November 2019 in Proceedings
Verified
Conference Paper
Open access
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GNGARIMA NAUTIYAL
GARIMA NAUTIYAL
SMSandeep Maithani
Sandeep Maithani
SMSandeep Maithani
Sandeep Maithani
ASArchana Sharma
Archana Sharma
Relative Entropy (RE) is defined as the measure of the degree of randomness of any geographical variable (i.e., urban growth). It is an effective indicator to evaluate the patterns of urban growth, whether compact or dispersed. In the present study, RE has been used to evaluate the urban growth of Dehradun city. Dehradun, the capital of Uttarakhand, is situated in the foothills of the Himalayas and has undergone rapid urbanization. Landsat satellite data for the years 2000, 2010 and 2019 have been used in the study. Built-up cover outside municipal limits and within municipal limits was classified for the given time period. The road network and city center of the study area were also delineated using satellite data. RE was calculated for the periods 2000–2010 and 2010–2019 with respect to the road network and city center. High values of RE indicate higher levels of urban sprawl, whereas lower values indicate compactness. The urban growth pattern over a period of 19 years was examined with the help of RE.