Rajarshi Bhattacharjee

Mr. Rajarshi Bhattacharjee


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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28 July 2022 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
PDF file
NDNILENDU DAS
NILENDU DAS
ASAvikal Sagar
Avikal Sagar
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
AAAshwani Kumar Agnihotri
Ashwani Kumar Agnihotri
AOAnurag Ohri
Anurag Ohri
SGShishir Gaur
Shishir Gaur

20 April 2022 in Journal of Earth System Science
Verified
Journal Article
Closed access
PDF file
NDNilendu Das
Nilendu Das
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
ACAbhinandan Choubey
Abhinandan Choubey
AAAshwani Kumar Agnihotri
Ashwani Kumar Agnihotri
AOAnurag Ohri
Anurag Ohri
SGShishir Gaur
Shishir Gaur

1 July 2022 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
PDF file
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
AGArpit Gupta
Arpit Gupta
NDNILENDU DAS
NILENDU DAS
AAAshwani Kumar Agnihotri
Ashwani Kumar Agnihotri
AOAnurag Ohri
Anurag Ohri
SGShishir Gaur
Shishir Gaur

23 October 2020 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Open access
PDF file
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
ACAbhinandan Choubey
Abhinandan Choubey
NDNILENDU DAS
NILENDU DAS
AOAnurag Ohri
Anurag Ohri
SGShishir Gaur
Shishir Gaur
The Lonar Lake of Maharashtra is a crater based-saline lake. During the month of June 2020, this lake suddenly changed its colour and turned to pink due to the presence of Haloarchaea microbes, and this species have a unique adaptation style to survive in high saline condition. The salinity of this lake is increasing due to less rainfall, low human intervention, and an increase in the temperature of this region. These microbes produce fantastic bloom, which can be sensed from outer space because of red–orange carotenoids production. In this work, Sentinel 2A datasets have been used for the duration of January 2020 to June 2020. These datasets have been processed in Google Earth Engine platform and several indices like Salinity Index, Surface Algal Bloom Index, and Normalized Difference Haloarchaea Index have been calculated. With the help of these indices, it has been found that the appearance of these microbes has happened in the early part of June 2020, and in more precise terms, it can be stated that between May 31 and June 5, these microbes have appeared in the lake.

13 June 2019 in Proceedings
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Conference Paper
Open access
PDF file
AGAmitesh Gupta
Amitesh Gupta
Udit AsopaUdit Asopa
Udit Asopa
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
DInSAR is a renowned method for estimating land subsidence based on the principles of interferometric synthetic aperture radar using different series of the temporal dataset. The present study has been performed using GMTSAR software with Sentinel 1 SAR data of C band for the duration of 2017–2019 (January to April) and focused particularly over the area of Jagadhri city which is situated 100 km away from Chandigarh, which has been identified under the potential threat of land subsidence. The DInSAR method has been applied in this study that came up with an outcome of three interferograms and yearly displacement that broadcast an update on the diagnosis of subsidence activity in the area. A total of six Single Look Complex (SLC) datasets were selectively chosen with a minimum temporal and spatial baseline so that the problem of decorrelation would be minimal. Goldstein filtering has been applied to the deburst interferograms which reduced the noise and, in turn, improved the quality of output. The city is located on the western bank of river Yamuna and about 55 km on the east of Ambala. Due to the presence of unconsolidated sediments in the aquifer system and over-exploitation of groundwater to meet the domestic needs has led to surface deformation in and around the city area. The outcome of this study identifies the area of depression quite distinctly while the accuracy has been assessed by ground survey. The rate of subsidence estimated approximately 4.98 cm/year which can prove to be disastrous over the course of time.

23 November 2024 in Frontiers of Environmental Science & Engineering
Verified
Journal Article
Closed access
PDF file
SGShishir Gaur
Shishir Gaur
RBRajarshi Bhattacharjee
Rajarshi Bhattacharjee
SCShard Chander
Shard Chander
AOAnurag Ohri
Anurag Ohri
PSPrashant K. Srivastava
Prashant K. Srivastava