Deepika Ghai

Dr. Deepika Ghai


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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14 July 2022 in Multimedia Tools and Applications
Verified
Journal Article
Closed access
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SRShilpa Rani
Shilpa Rani
DGDeepika Ghai
Deepika Ghai
SKSandeep Kumar
Sandeep Kumar

25 November 2022 in Sustainability
Verified
Journal Article
Open access
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KVKiranmai A V
Kiranmai A V
DGDeepika Ghai
Deepika Ghai
SKSandeep Kumar
Sandeep Kumar
STSuman Lata Tripathi
Suman Lata Tripathi
Chaman VermaChaman Verma
Chaman Verma
TMTraian Candin Mihaltan
Traian Candin Mihaltan
Land transfiguration is caused by natural as well as phylogenesis-driving forces, and its consequences for the regional environment are a significant issue in understanding the relationship between society and the environment. Land use/land cover plays a crucial part in the determination, preparation, and execution of administrative approaches to fulfilling basic human needs in the present day. In this study, Visakhapatnam, Vijayawada, Tirupati, A.P., India, is considered as a study area to explain the Land use/land cover (LULC) classification, Land Surface Temperature (LST), and the inverse correlation between LST and the NDVI of Temporal Landsat satellite images at intervals of 5 years from 2000 to 2020. We performed easy and thoroughgoing classifications based on vegetation phenology, using an extended LULC field database, a time series of LANDSAT satellite imagery, and a pixel-based classifier. In total, five land-use and land-cover types have been identified: dense vegetation, vegetation, built-up, barren land, and water. Over the period of inquiry, there were notable increases in the area of built-up land, dense vegetation, and vegetation, whereas there was a marked decrease in water bodies and barren land. The diverse effects of land transformation on the natural environment have been assessed using Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI). The used technique achieved very good levels of accuracy (90–97%) and a strong kappa coefficient (0.89–0.96), with low commission and omission errors. The variation of the land surface temperature was studied using the Mono-Window algorithm. Change detection, and the transition of the natural land cover to man-made land use, were statistically computed for the study area. Results exposed that there had been significant variations in the land use and cover during the tagged eras. In general, two land use and land cover change patterns were confirmed in the study zone: (i) compatible growth of the zone in built-up areas, barren land, plantations, and shrubs; and (ii) continual diminishment in agriculture and water; maximum urban development took place between 2000 to 2020. The results showed drastic changes in urbanization and decrements in vegetation that had environmental consequences.

22 May 2023 in Silicon
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Journal Article
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KMKalasapati Bindu Madhavi
Kalasapati Bindu Madhavi
STSuman Lata Tripathi
Suman Lata Tripathi
SSSobhit Saxena
Sobhit Saxena
DGDeepika Ghai
Deepika Ghai
Balwinder RajBalwinder Raj
Balwinder Raj

25 February 2023 in Multimedia Tools and Applications
Verified
Journal Article
Closed access
PDF file
NTNeha Thakur
Neha Thakur
DGDeepika Ghai
Deepika Ghai
SKSandeep Kumar
Sandeep Kumar

28 June 2023
Verified
Book Chapter
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SGSandeep Naidu Gangiredla
Sandeep Naidu Gangiredla
MYMukesh Kumar Yadav
Mukesh Kumar Yadav
VTVaibhav Tiwari
Vaibhav Tiwari
DGDeepika Ghai
Deepika Ghai
DMDanvir Mandal
Danvir Mandal