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Co-Authors
- Y. S. Rao
- Ajai
- A. K. Mathur
- Raj Kumar
- Suchandra A. Bhowmick
- Abhisek Chakraborty
- Anuja Sharma
- M. Seemanth
- Maneesha Gupta
- Prantik Chakraborty
- Jalpa Modi
- Tapan Misra
- Bimal K. Bhattacharya
- Robert O. Green
- Sadasiva Rao
- M. Saxena
- K. Ajay Kumar
- P. Srinivasulu
- Shashikant Sharma
- D. Dhar
- S. Bandyopadhyay
- Shantanu Bhatwadekar
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sharma, Shweta
- Application of DInSAR Technique for Post-Earthquake Land Deformation Mapping of Eastern Nepal
Abstract Views :293 |
PDF Views:101
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.- Post-Launch Calibration–Validation and Data Quality Evaluation of SCATSAT-1
Abstract Views :259 |
PDF Views:75
Authors
Raj Kumar
1,
Suchandra A. Bhowmick
1,
Abhisek Chakraborty
1,
Anuja Sharma
1,
Shweta Sharma
1,
M. Seemanth
1,
Maneesha Gupta
1,
Prantik Chakraborty
1,
Jalpa Modi
1,
Tapan Misra
1
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
Source
Current Science, Vol 117, No 6 (2019), Pagination: 973-982Abstract
Here we provide a brief description of the post-launch data quality evaluation and calibration–validation chain of the SCATSAT-1, the second scatterometers mission of Indian Space Research Organisation. This chain is of absolute importance to monitor the satellite health and its impact on its measurements. It also provides us overview of the suitability of the data for various applications. The results show that the SCATSAT instrument is having nominal behaviour, the measurements are of very high quality and is comparable to the reference mission QuikSCAT. The ocean surface winds derived using SCATSAT-1 are having errors less than 1 m/s and hence it is suitable for all operational meteorological and oceanographic applications.Keywords
Calibration, Data Quality Evaluation, Scatterometers, Validation, Wind Vectors.References
- Kumar, R., Bhowmick, S. A., Babu, K. N., Nigam, R. and Sarkar, A., Relative calibration of scatterometer backscattering coefficient using natural land targets – a preparatory study for OCEANSAT-2 scatterometer. IEEE Trans. Geosci. Remote Sensing, 2011, 49(6), 2268–2273.
- Bhowmick, S. A., Kumar, R. and Kiran Kumar, A. S., Crosscalibration of the OceanSAT-2 scatterometer with QuikSCAT scatterometer using natural terrestrial targets. IEEE Trans. Geosci. Remote Sensing, 2014, 52(6), 3393–3398.
- 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(5), 2571–2576.
- Chakraborty, A., Deb, S. K., Sikhakolli, R., Gohil, B. S. and Kumar, R., Intercomparison of OSCAT winds with numericalmodelgenerated winds. IEEE Geosci. Remote Sensing Lett., 2013, 10(2), 260–262.
- Gupta, M., Desai, Y. and Kartikeyan, B., Strategy for quality evaluation of OSCAT data. In Fourth International Conference of Environmental Research, Surat, Gujarat, India, 15–17 December 2011.
- McPhaden, M. J. et al., RAMA: the research moored array for African–Asian–Australian monsoon analysis and prediction. Bull. Am. Meteorol. Soc., 2009, 90, 459–480.
- Meindl, E. A. and Hamilton, G. D., Programs of the National Data Buoy Center. Bull. Am. Meteorol. Soc., 1992, 73(7), 985–993.
- Bourles, B. et al., The PIRATA program history, accomplishments and future directions. Cover story. Bull. Am. Meteorol. Soc., 2008, 89(8), 1111–1125.
- Prasad, V. S. and Indira Rani, S., Data pre-processing for NCMRWF Unified Model (NCUM): Version 2. NCMRWF research report, NMRF/RR/01/2014, 2014; http://www.ncmrwf.gov.in/ncum_obstore_v2.pdf
- De Kloe, J., Stoffelen, A. and Verhoef, A., Improved use of scatterometer measurements by using stress-equivalent reference winds. IEEE J. Sel. Top. Appl. Earth, 2017, 10(5), 2340–2347; doi: 10.1109/JSTARS.2017.2685242.
- An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India
Abstract Views :253 |
PDF Views:85
Authors
Bimal K. Bhattacharya
1,
Robert O. Green
2,
Sadasiva Rao
3,
M. Saxena
1,
Shweta Sharma
1,
K. Ajay Kumar
1,
P. Srinivasulu
3,
Shashikant Sharma
1,
D. Dhar
1,
S. Bandyopadhyay
4,
Shantanu Bhatwadekar
4,
Raj Kumar
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, CA 91109, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 625, IN
4 Earth Observation Science Directorate, Indian Space Research Organisation, Bengaluru 560 231, IN
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, CA 91109, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 625, IN
4 Earth Observation Science Directorate, Indian Space Research Organisation, Bengaluru 560 231, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1082-1088Abstract
The first phase of an airborne science campaign has been carried out with the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) imaging spectrometer over 22,840 sq. km across 57 sites in India during 84 days from 16 December 2015 to 6 March 2016. This campaign was organized under the Indian Space Research Organisation (ISRO) and National Aeronautics and Space Administration (NASA) joint initiative for HYperSpectral Imaging (HYSI) programme. To support the campaign, synchronous field campaigns and ground measurements were also carried out over these sites spanning themes related to crop, soil, forest, geology, coastal, ocean, river water, snow, urban, etc. AVIRIS-NG measures the spectral range from 380 to 2510 nm at 5 nm sampling with a ground sampling distance ranging from 4 to 8 m and flight altitude of 4–8 km. On-board and ground-based calibration and processing were carried out to generate level 0 (L0) and level 1 (L1) products respectively. An atmospheric correction scheme has been developed to convert the measured radiances to surface reflectance (level 2). These spectroscopic signatures are intended to discriminate surface types and retrieve physical and compositional parameters for the study of terrestrial, aquatic and atmospheric properties. The results from this campaign will support a range of objectives, including demonstration of advanced applications for societal benefits, validation of models/techniques, development of state-of-the-art spectral libraries, testing and refinement of automated tools for users, and definition of requirements for future space-based missions that can provide this class of measurements routinely for a range of important applications.Keywords
Airborne Science Campaign, Hyperspectral Sensing, Imaging Spectrometer, Surface Reflectance.References
- Bhattacharya, B. K. and Chattopadhyay, C., A multi-stage tracking for mustard rot disease combining surface meteorology and satellite remote sensing. Comput. Electron. Agric., 2013, 90, 35– 44.
- Bhattacharya, S., Majumdar, T. J., Rajawat, A. S., Panigrahy, M. K. and Das, P. R., Utilization of Hyperion data over Dongargarh, India, for mapping altered/weathered and clay minerals along with field spectral measurements. Int. J. Remote Sensing, 2012, 33(17), 5438–5450.
- Ramakrishnan, D. and Bharti, R., Hyperspectral remote sensing and geological applications. Curr. Sci., 2015, 108(5), 879–891.
- Sahoo, R. N., Ray, S. S. and Manjunath, K. R., Hyperspectral remote sensing of agriculture. Curr. Sci., 2015, 108(5), 848–859.
- Das, B. S., Sarathjith, M. C., Santra, P., Sahoo, R. N., Srivastava, R., Routray, A. and Ray, S. S., Hyperspectral remote sensing: opportunities, status and challenges for rapid soil assessment in India. Curr. Sci., 2015, 108(5), 860–868.
- Ramakrishnan, D. and Sahoo, R. N., Network Programme on Imaging Spectroscopy and Applications (NISA): science plan and implementation strategy. Department of Science and Technology, Government of India, 2016.
- Ajay Kumar, K., Thap, N. A. and Kuriakose, S. A., Advances in spaceborne hyperspectral imaging systems. Curr. Sci., 2015, 108(5), 826–832.
- Green, R. O. et al., Imaging spectroscopy and the airborne visible/ infrared imaging spectrometer (AVIRIS). Remote Sensing Environ., 1998, 65(3), 227–248.
- Green, R. O. et al., The Moon Mineralogy Mapper (M3) imaging spectrometer for lunar science: instrument description, calibration, on-orbit measurements, science data calibration and on-orbit validation. J. Geophys. Res.: Planets, 2012, 116(E10).
- Anonymous, Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space, 2017–2027 Decadal Survey for Earth science and applications from space. The National Academies of Science, Engineering and Medicine (ISBN 978-0-30946757-5). The National Academies Press, Washington, DC, USA, 2017; doi:10.17226/24938.