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Mathur, A. K.
- Application of DInSAR Technique for Post-Earthquake Land Deformation Mapping of Eastern Nepal
Abstract Views :299 |
PDF Views:108
Authors
Affiliations
1 Space Applications Centre (ISRO), Ahmedabad 380 058, IN
2 Indian Institute of Technology Bombay, Mumbai 400 076, IN
1 Space Applications Centre (ISRO), Ahmedabad 380 058, IN
2 Indian Institute of Technology Bombay, Mumbai 400 076, IN
Source
Current Science, Vol 110, No 3 (2016), Pagination: 302-304Abstract
No Abstract.Full Text
- Humidity Profile Retrieval from SAPHIR On-Board the Megha-Tropiques
Abstract Views :240 |
PDF Views:96
Authors
A. K. Mathur
1,
R. K. Gangwar
1,
B. S. Gohil
1,
Sanjib K. Deb
1,
Prashant Kumar
1,
Munn V. Shukla
1,
B. Simon
1,
P. K. Pal
1
Affiliations
1 Atmosphere and Oceanic Sciences Group (EPSA), Space Applications Centre (ISRO), Ahmedabad 380 015, IN
1 Atmosphere and Oceanic Sciences Group (EPSA), Space Applications Centre (ISRO), Ahmedabad 380 015, IN
Source
Current Science, Vol 104, No 12 (2013), Pagination: 1650-1655Abstract
The Megha-Tropiques (MT) satellite, a joint Indo- French mission, was launched by ISRO's PSLV-C18 on 12 October 2011 from Sriharikota, India. SAPHIR, a microwave humidity sounder on-board Megha Tropiques operates in six channels with frequencies around 183.31 GHz. A radiative transfer simulationbased operational algorithm has been developed to retrieve layer-averaged relative-humidity (LARH) for six atmospheric layers from the surface to nearly 12 km using SAPHIR observations over land and ocean under non-rainy conditions. SAPHIR-derived LARH for the period July to November 2012 has been validated with concurrent quality-controlled radiosonde observations as well as with ECMWF analysis data. Global validation with radiosonde and ECMWF data shows that ischolar_main mean square deviation in LARH for all the six layers is nearly 20% and 15% respectively, after bias correction.
Keywords
Atmospheric Layers, Humidity Sounder, Radiosonde Observations, Relative Humidity.Full Text
- An Empirical Comparison of Calibration and Validation Methodologies for Airborne Imaging Spectroscopy
Abstract Views :224 |
PDF Views:88
Authors
K. N. Babu
1,
A. K. Mathur
1,
David R. Thompson
2,
Robert O. Green
2,
Piyushkumar N. Patel
3,
R. P. Prajapati
1,
Brian D. Bue
2,
Sven Geier
2,
Michael L. Eastwood
2,
Mark C. Helmlinger
2
Affiliations
1 Space Applications Centre (ISRO), Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, US
3 Physical Research Laboratory, Ahmedabad 380 009, IN
1 Space Applications Centre (ISRO), Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, US
3 Physical Research Laboratory, Ahmedabad 380 009, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1101-1107Abstract
To date, a large number of existing applications in India have used multi-band observations from airborne and spaceborne platforms. New sensors are providing additional capabilities thanks to special aerial missions with the compact airborne spectrographic imager (CASI), the short-wave infrared (SWIR) full spectrum imager (SFSI) and the National Aeronautics and Space Administration’s (NASA’s) Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG). Opportunities to exploit quantitative spectroscopic signatures and high spatial resolution have garnered great interest among the scientific community, and the success of these missions will rely on accurate calibration. Here we focus on a vicarious calibration experiment conducted for the AVIRIS-NG India campaign. We discuss initial validation results, with descriptions of in situ and remote calibration and measurement protocols, geometric processing with precise position and attitude data, and atmospheric simulations used to validate the remote measurement. A partnership between Indian Space Research Organisation (ISRO) and NASA investigators proved a unique opportunity to assess the empirical variability in results, indicating their sensitivity to modelling choices and assumptions. The vicarious calibration exercise uses multiple radiative transfer models, including MODTRAN 6.0 and a new version of the 6S radiative transfer code, viz. 6SV2.1, which is capable of accounting for polarization.Keywords
Hyperspectral Measurements, Radiative Transfer, Reflectance, Vicarious Calibration.Full Text
References
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- Patel, P. N., Dumka, U. C., Kaskaoutis, D. G., Babu, K. N. and Mathur, A. K., Optical and radiative properties of aerosols over Desalpar, a remote site in western India: source identification, modification processes and aerosol type discrimination. Sci. Total Environ., 2017, 575, 612–627.
- Thompson, D. R., Boardman, J. W., Eastwood, M. L., Green, R. O., Haag, J. M. and Gorp, B. V., Imaging spectrometer stray spectral response: in-flight characterization, correction and validation. Remote Sensing Environ., 2018, 204, 850–860.
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- Helmlinger, M., Eastwood, M., Green, R. P. and Thompson, D. R., Solar-similar near-infrared suppressed ‘blue’ calibration source. In IEEE Aerospace Conference, Big Sky, USA, MT, 2016; doi:10.1109/AERO.2016.7500714.
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