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 Atmospheric Physics And Weather (329E): People
Alka  Singh's Picture
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Jet Propulsion Laboratory
M/S 233-304
4800 Oak Grove Drive
Pasadena, CA 91109
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Alka Singh

Alka Singh is a California Institute of Technology (Caltech) postdoc affiliated with the Atmospheric Physics and Weather group (329E) in the Earth Science Section at NASA Jet Propulsion Laboratory (JPL). She has been working on multiple remote sensing and other earth observation data for water storage estimation. She has presented her work in multiple international conferences and peer-reviewed journals.


Education
  • Ph.D submitted in the Technical University of Munich, Germany (2016)
  • M.Sc. Geo-informatics, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede,  Netherlands, (2007 -2009).

Research Interests
  • Hydrology
  • Terrestrial water storage
  • Remote sensing
  • Multi-dimensional data integration

Professional Experience
  • Postdoctoral Research Associate, Jet Propulsion Laboratory (January 2017 – Present).
  • Ph.D. candidate, Technical University of Munich, Germany (June 2010 – March 2017).

Selected Awards
  • 2nd prize in the Uttarakhand (India) Governor’s award for the state’s best research publications in Science (2016).
  • Women’s Bureau of the TUM awarded Ph.D scholarship for women in science (2014).
  • Young Scientist’s Travel Award of the European Geosciences Union (EGU), (2013).
  • Erasmus Mundus WILLPower fellowship for Ph.D. (2010)

Selected Publications
  1. Singh, A.; Seitz, F.; Schwatke, C.: Inter-annual water storage changes in the Aral Sea from multi-mission satellite altimetry, optical remote sensing, and GRACE satellite gravimetry; Remote Sensing of Environment, Vol. 123, pp 187-195, Elsevier, ISSN 0034-4257, DOI: 10.1016/j.rse.2012.01.001, 2012.
  2. Singh, A.; Kumar, U.; Seitz, F.: Remote sensing of storage fluctuations of poorly gauged reservoirs and its state space model (SSM) based estimation; Remote Sensing, Vol. 7, issue 12, pp 17113–17134, 2015. DOI: 10.3390/rs71215872 (Open source)
  3. Singh, A.; Seitz, F.; Schwatke, C.: Application of Multi-Sensor Satellite Data to observe Water Storage Variations; Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 6, issue 3, pp 1502–1508, IEEE Geo-science & Remote Sensing Society, ISSN:1939-1404, DOI: 10.1109/JSTARS.2013.2258326
  4. Singh, A.; Seitz, F.; Schwatke, C.: Inter-annual water storage changes in the Aral Sea from multi-mission satellite altimetry, optical remote sensing, and GRACE satellite gravimetry; Remote Sensing of Environment, Vol. 123, pp 187-195, Elsevier, ISSN 0034-4257, DOI: 10.1016/j.rse.2012.01.001, 2012
  5. Singh, A.; Dutta, R.; Stein, A.; Bhagat, R. M.: A wavelet based approach for monitoring plantation crops (tea: Camellia sinensis) in North East India; International Journal of Remote Sensing, Vol. 33, Nr. 16, pp 4982-5008, Taylor & Francis, ISSN 0143-1161, DOI: 10.1080/01431161.2012.657364, 2012

 

Proceedings

  1. Singh, A.; Seitz, F.: Water Storage Variations in the Aral Sea from Multi-sensor Satellite Data in comparison with Results from GRACE gravimetry; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, Vol. 6, 3042 - 3045 ,2012. DOI: 10.1109/IGARSS.2012.6350784.
  2. Singh, A.; Seitz, F.; Schwatke, C.: Observations of water storage variations in the Aral Sea from multi-sensor satellite data; Water infinitely deformable but still limited, 2nd IAHR Europe Congress, 2012. Bavarian State Library, Munich & German National Library, Frankfurt. ISBN 978-3-943683-03-5
  3. Mishra, G.; Kumar, A.; Patel, N.R.; Zurita, R.; Singh, A.: Mapping Specific Crop- A Multi Sensor Temporal Approach; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, Vol. 6, 3034–3037, 2012. DOI: 10.1109/IGARSS.2012.6350786
  4. Dutta, R.; Bhagat, R. M.; Singh, A.: Monitoring tea plantations in India using remote sensing approaches; TS5D – Monitoring Using Vision Technologies.7th FIG Regional Conference, Spatial Data Serving People: Land Governance and the Environment Building the Capacity, Hanoi, Vietnam. FIG Surveyor's Reference Library (Commission 6: Engg. Surveys). ISBN 978-87-90907-75-4

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