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- Goutham Krishna Teja Gunda
- P. K. Champatiray
- Prakash Chauhan
- Pratima Pandey
- S. Nawaz Ali
- Mijanur Ansary
- Arya Singh
- Yateesh Ketholia
- S. Balaji
- Prabhakar A. Verma
- Supriya Sharma
- Satadru Bhattacharya
- Aditya Kumar Dagar
- Amitabh
- Abhishek N. Patil
- Ajay Kumar Parashar
- Ankush Kumar
- Nilesh Desai
- Ritu Karidhal
- A. S. Kiran Kumar
- A. Sridhar
- R. Sudhakar Goud
- G. Udaya Laxmi
- Arya Pratap Singh
- Koyel Sur
- Ananya Srivastava
- Richa U. Sharma
Journals
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Chauhan, Mamta
- Monitoring of Volcanic Eruption (Barren Island) using EO Satellites
Abstract Views :256 |
PDF Views:76
Authors
Affiliations
1 Indian Institute of Remote Sensing-ISRO, Dehradun 248 001, IN
1 Indian Institute of Remote Sensing-ISRO, Dehradun 248 001, IN
Source
Current Science, Vol 118, No 12 (2020), Pagination: 1874-1876Abstract
Barren Island (BI) (12.28°N, 93.86°E), the young and only confirmed active stratovolcano of India, is situated ~135 km northeast of Port Blair, the capital of Andaman and Nicobar Islands within the Andaman Sea. With an elevation of ~350 m amsl, it is located on seismically active subduction zones, wherein the Indian Plate subducts beneath the Burmese Plate along the Andaman Trench. BI is a caldera, that is breached towards the west by various episodes of volcanic eruptions and depositions, resulting in a polygenetic vent at the centre1,2.References
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- Pyle, D. M., Mather, T. A. and Biggs, J., Geol. Soc. London, Spec. Publ., 2013, 380, 1–13.
- Campion, R., Geophys. Res. Lett., 2014, 41(21), 7485–7492.
- Coppola, D., Laiolo M., Cigolini, C., Delle Donne, D. and Ripepe, M., J. Geol. Soc. London, Spec. Publ., 2016, 426(1), 181–205.
- Carn, S. A. Clarisse, L. and Prata, A., J. Geol. Soc. London, Spec. Publ., 2016, 426, 277–292.
- Bonny, E. and Wright, R., Bull. Volcanol., 2017, 79, 52.
- Martha, T., Roy, P. and Vinod Kumar, K., Bull. Volcanol., 2018, 80; doi: 10.1007/s00445-017-1190-0.
- Marchese, F., Neri, M., Falconieri, A., Lacava, T., Giuseppe, M., Pergola, N. and Valerio, T., Remote Sensing, 2018, 10, 1948; doi:10.3390/rs10121948.
- Cappello, S., Ganci, G., Bilotta, G., Herault, A., Zago, V. and Del Negro, C., Ann. Geophys., 2018, 61, 13.
- Space-Based Observation of a High-Altitude Red-Coloured Glacial Lake in Ladakh, Northwest Himalaya, India
Abstract Views :219 |
PDF Views:79
Authors
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun 248 001, IN
2 Birbal Sahni Institute of Paleosciences, Lucknow 226 007, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun 248 001, IN
2 Birbal Sahni Institute of Paleosciences, Lucknow 226 007, IN
Source
Current Science, Vol 120, No 2 (2021), Pagination: 429-431Abstract
The present study reports the existence of a unique and unusual feature of the Zanskar valley, Ladakh, India – a proglacial ‘red/brown-coloured lake’ observed from space-based remote sensing data. The lake has not changed in colour and size over the years. Here we report observations from 2004 onwards till recently. The local geology plays an important role, and iron-dominated lithology of the region interacts with snow and glacial meltwaters and subsequently deposits red/brown-coloured suspended silt in this proglacial lake. Spectral analysis of reflectance data from Sentinel-2 images in visible–infrared region of electromagnetic spectrum suggests that the colour of the lake is due to high concentration of suspended solids, having dominant reflectance at 660–700 nm and thus causing the red/brown colour of the water.Keywords
Proglacial Lake, Remote Sensing, Spacebased Observations, Suspended Solids.References
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- Modelling of volcanic ash with HYSPLIT and satellite observations: a case study of the 2018 Barren Island volcano eruption event, Andaman Territory, India
Abstract Views :179 |
PDF Views:98
Authors
Goutham Krishna Teja Gunda
1,
P. K. Champatiray
1,
Mamta Chauhan
1,
Prakash Chauhan
1,
Mijanur Ansary
1,
Arya Singh
1,
Yateesh Ketholia
1,
S. Balaji
2
Affiliations
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
Source
Current Science, Vol 121, No 4 (2021), Pagination: 529-538Abstract
The present study aims to identify, characterize monitor and model the transport pathways of volcanic ashes and various features of the active phase of Barren Island volcano (BIV), Andaman and Nicobar Island, India during 2018 using the several Earth observation satellite technologies and field observations in the study area. Sentinel-2 satellite datasets have been used to identify volcanic eruption features such as lava flow, ash plume, cinder and vent and different directions of lava flow from the cinder cone during the 2018 eruptive phase of BIV. To visualize the major variations in thermal intensity and understand the behaviour of current volcanic activity, volcanic radiative power (VRP) and radiant fluxes of the recent eruptive phase were calculated using MIROVA. In addition, thermal anomaly was observed in the form of anomalous fire pixels for 44 days in FIRMS database. Also, NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS, VNP14IMGT) were used for validating the real-time activity of the 2018 volcanic eruption phase. The results obtained were closely related with the periods of high eruptions as observed in the Sentinel-2 datasets. The volcanic aerosol ‘sulphur dioxide’ (SO2) data (time series-area averaged) were analysed as well as a five-day forward trajectory and volcanic ash model for each eruption event was developed using HYSPLIT model to identify the transport pathways and extent of volcanic ash cloud in the lower atmosphere during the eruptive phase of the volcano.Keywords
Eruptive phase, field observations, satellite observations, volcanic ash.References
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- Unambiguous detection of OH and H2O on the Moon from Chandrayaan-2 Imaging Infrared Spectrometer reflectance data using 3 μm hydration feature
Abstract Views :229 |
PDF Views:89
Authors
Prakash Chauhan
1,
Mamta Chauhan
1,
Prabhakar A. Verma
1,
Supriya Sharma
1,
Satadru Bhattacharya
2,
Aditya Kumar Dagar
3,
Amitabh
3,
Abhishek N. Patil
3,
Ajay Kumar Parashar
3,
Ankush Kumar
3,
Nilesh Desai
3,
Ritu Karidhal
4,
A. S. Kiran Kumar
5
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun 248 001, IN
2 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, IN
3 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, India, IN
4 U.R. Rao Satellite Centre, ISRO, Bengaluru 560 017, India, IN
5 Indian Space Research Organisation Head Quarters, Bengaluru 560 094, India, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organization, Dehradun 248 001, IN
2 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, IN
3 Space Applications Centre, Indian Space Research Organisation (ISRO), Ahmedabad 380 015, India, IN
4 U.R. Rao Satellite Centre, ISRO, Bengaluru 560 017, India, IN
5 Indian Space Research Organisation Head Quarters, Bengaluru 560 094, India, IN
Source
Current Science, Vol 121, No 3 (2021), Pagination: 391-401Abstract
Imaging Infrared Spectrometer (IIRS) on-board Chandrayaan-2 is designed to measure lunar reflected and emitted solar radiation in 0.8–5.0 μmm spectral range. Its high spatial resolution (~80 m) and extended spectral range is most suitable to completely characterize lunar hydration (2.8–3.5 μmm region) attributed to the presence of OH and/or H2O. Here we present initial results from IIRS reflectance data analysed to unambiguously detect and quantify lunar 3 μmm absorption feature. After pre-processing and data-reduction, a physics based thermal correction analysis of IIRS reflectance spectra has been done using co-located temperature measurements. Hydration absorption was observed at all latitudes and surface types with varying degrees for all pixels in the study area and its absorption depth shows distinct variability associated with mineralogy, surface temperature and latitude.Keywords
Imaging Infrared Spectrometer, Lunar Hydration, Moon, Reflectance Data, Thermal Correction.References
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Abstract Views :258 |
PDF Views:103
Authors
Goutham Krishna Teja Gunda
1,
A. Sridhar
2,
Mamta Chauhan
1,
Mijanur Ansary
1,
Prakash Chauhan
1,
R. Sudhakar Goud
3,
G. Udaya Laxmi
4,
S. Balaji
5
Affiliations
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
3 Department of Geoinformatics, Telangana University, Nizamabad 503 322, IN
4 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
5 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
1 Geosciences and Disaster Management Studies Group, Indian Institute of Remote Sensing (ISRO), Dehradun 248 001, IN
2 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
3 Department of Geoinformatics, Telangana University, Nizamabad 503 322, IN
4 Centre of Exploration Geophysics, Department of Geophysics, Osmania University, Hyderabad 500 007, IN
5 Department of Disaster Management, Pondicherry University, Port Blair 744 101, IN
Source
Current Science, Vol 123, No 2 (2022), Pagination: 143-144Abstract
No abstract.Keywords
No keywords.References
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- Machine Learning-Based Approach on PRISMA Data for Mapping Nidar Ophiolites in Ladakh, India
Abstract Views :45 |
PDF Views:41
Authors
Arya Pratap Singh
1,
Mamta Chauhan
1,
Koyel Sur
2,
Ananya Srivastava
1,
Prakash Chauhan
3,
Richa U. Sharma
1
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun 248 001, IN
2 Punjab Remote Sensing Centre, Ludhiana 141 004, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun 248 001, IN
2 Punjab Remote Sensing Centre, Ludhiana 141 004, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
Source
Current Science, Vol 125, No 6 (2023), Pagination: 604-607Abstract
No Abstract.Keywords
No Keywords.References
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