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- Devang Mankad
- Rajesh Sikhakolli
- Puja Kakkar
- Qamer Saquib
- Krishna Murari Agrawal
- Suresh Gurjar
- Dinesh Kumar Jain
- Pradeep Thapliyal
- Deepak Putrevu
- Sanjay Trivedi
- Anup Das
- Dharmendra Pandey
- Priyanka Mehrotra
- S. K. Garg
- Venkata Reddy
- Shalini Gangele
- Himanshu Patel
- Devendra Sharma
- R. Sijwali
- Nikhil Pandya
- Amit Shukla
- Gaurav Seth
- Raj Kumar
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Ramanujam, V. M.
- SCATSAT-1 Scatterometer Data Processing
Abstract Views :283 |
PDF Views:72
Authors
Devang Mankad
1,
Rajesh Sikhakolli
2,
Puja Kakkar
1,
Qamer Saquib
1,
Krishna Murari Agrawal
1,
Suresh Gurjar
1,
Dinesh Kumar Jain
1,
V. M. Ramanujam
1,
Pradeep Thapliyal
1
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 625, IN
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 625, IN
Source
Current Science, Vol 117, No 6 (2019), Pagination: 950-958Abstract
SCATSAT-1 carries a Ku-band scatterometer with a scanning pencil beam configuration. It deploys two beams, a vertically polarized outer beam and a horizontally polarized inner beam, to cover a swath of 1800 km. The mission mainly caters to oceanographic applications and weather forecasting, with the data being extensively used for cyclogenesis predictions across the globe and specifically, the tropical region. Since the launch of SCATSAT-1 in September 2016, the satellite and payload performances as well as mission and ground segment operations have been found to be nominal and satisfactory. This article highlights various levels of operational data products as well as algorithms used for deriving radar backscatter and retrieving wind vector data from scatterometer measurements.Keywords
Data Products, Footprint, Scatterometer, Slices, Wind Vector.References
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- Kumar, R., Chakraborty, A., Parekh, A., Sikhakolli, R., Gohil, B. S. and Kiran Kumar, A. S., Evaluation of Oceansat-2-derived Ocean surface winds using observations from global buoys and other scatterometers. IEEE Trans. Geosci. Remote Sensing, 2013, 51, 2571–2576.
- Chakraborty, A., Deb, S. K., Shikakolli, R., Gohil, B. S. and Kumar, R., Intercomparison of OSCAT winds with numericalmodelgenerated winds. IEEE Geosci. Remote Sensing Lett., 2013, 10, 260–262.
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- L- and S-band Polarimetric Synthetic Aperture Radar on Chandrayaan-2 Mission
Abstract Views :262 |
PDF Views:101
Authors
Deepak Putrevu
1,
Sanjay Trivedi
1,
Anup Das
1,
Dharmendra Pandey
1,
Priyanka Mehrotra
1,
S. K. Garg
1,
Venkata Reddy
1,
Shalini Gangele
1,
Himanshu Patel
1,
Devendra Sharma
1,
R. Sijwali
1,
Nikhil Pandya
1,
Amit Shukla
1,
Gaurav Seth
1,
V. M. Ramanujam
1,
Raj Kumar
1
Affiliations
1 Space Applications Centre, Ahmedabad 380 015, IN
1 Space Applications Centre, Ahmedabad 380 015, IN
Source
Current Science, Vol 118, No 2 (2020), Pagination: 226-233Abstract
Dual-frequency Synthetic Aperture Radar (SAR) operating in L- and S-band frequencies is one of the primary payloads of the Chandrayaan-2 orbiter. This payload with the capability of imaging in dual frequency (L-band: 24 cm wavelength and S-band: 12 cm wavelength) with full polarimetric mode aims for unambiguous detection, characterization and quantitative estimation of water-ice in permanently shadowed regions over the lunar poles. The payload will address the ambiguities in interpreting high values of circular polarization ratio associated with water-ice observed during previous missions to the Moon through imaging in dual-frequency fully polarimetric SAR mode. Various improved system features such as wide range of resolutions and incidence angles, synchronized Land S-band operations, radiometer mode, are built into the instrument to meet the required science objectives, adhering to stringent mission requirements of low mass, power and data rates. Major scientific objectives of dual-frequency polarimetric SAR payload are: unambiguous detection and quantitative estimation of lunar polar water-ice; estimation of lunar regolith dielectric constant and surface roughness; mapping of lunar geological/morphological features and polar crater floors at high-resolution, and regional- scale mapping of regolith thickness and distribution.Keywords
Circular Polarization Ratio, Dual Frequency, Lunar Polar Water-ice, Synthetic Aperture Radar.References
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