Reshma T. Vishweshwaraiah

Dr. Reshma T. Vishweshwaraiah

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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1 August 2021 in Materialia
Verified
Journal Article
Closed access
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah
Manjunatha MManjunatha M
Manjunatha M
ABA Bharath
A Bharath
RTRanjitha B Tangadagi
Ranjitha B Tangadagi
JVJagadish Vengala
Jagadish Vengala
LMLr Manjunatha
Lr Manjunatha

11 February 2023 in Environmental Science and Pollution Research
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Journal Article
Closed access
PDF file
BABharath A
Bharath A
RMRamesh Maddamsetty
Ramesh Maddamsetty
Manjunatha MManjunatha M
Manjunatha M
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah

17 October 2023 in Discrete Dynamics in Nature and Society
Verified
Journal Article
Open access
PDF file
ABA. Bharath
A. Bharath
Manjunatha MManjunatha M
Manjunatha M
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah
RTRANJITHA B TANGADAGI
RANJITHA B TANGADAGI
SBSifatullah Bahij
Sifatullah Bahij
The availability of productive land is significantly impacted by the global phenomenon of urbanization. The amount of land available for food production and other essential activities decreases as cities grow because the urban perimeter encroaches on rural and natural areas. Conducting research on urban sprawl analysis and land use land cover (LULC) change assessment is essential in ensuring sustainable urban growth. Bengaluru, a rapidly expanding metropolitan city, has a significant impact on the area around it, making it a prime location for this kind of study. In this study, authors sought to assess how urban sprawl affected LULC in the Bengaluru rural district that surrounds the city of Bengaluru. The study evaluated changes in LULC over a two-decade period using remote sensing data and GIS tools. Five LULC classes were used to categorize the study area: settlement, waterbody, vegetation, agriculture, and barren land. The maximum likelihood technique was used to classify Landsat images from three different time periods using the supervised image classification method in the ERDAS software. Accuracy assessment was used to gauge the classified images accuracy. The studys important findings showed how the LULC classes in the study area have been negatively impacted by the urban sprawl. The study emphasizes the significance of ongoing research in LULC change assessment and urban sprawl analysis to ensure sustainable urban growth and safeguard the availability of productive land.

18 February 2023 in Innovative Infrastructure Solutions
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Journal Article
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SKS. Mohammed Khalid
S. Mohammed Khalid
SSShobha M. Shanthaveerappa
Shobha M. Shanthaveerappa
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah
SMSrishaila J. Mahalingasharma
Srishaila J. Mahalingasharma

30 November 2023 in Cleaner Materials
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Journal Article
Open access
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah
CPChandan Kumar Patnaikuni
Chandan Kumar Patnaikuni
HTH.M. Tanu
H.M. Tanu
ABA. Bharath
A. Bharath

13 December 2023 in Innovative Infrastructure Solutions
Verified
Journal Article
Closed access
PDF file
Reshma T. VishweshwaraiahReshma T. Vishweshwaraiah
Reshma T. Vishweshwaraiah
CPChandan Kumar Patnaikuni
Chandan Kumar Patnaikuni