Publications

Peer Reviewed Publications

  1. K. Wagstaff, G. Doran, A. Davies, S. Anwar, S. Chakraborty, M. Cameron, I. Daubar, C. Phillips, Enabling Onboard Detection of Events of Scientific Interest for the Europa Clipper Spacecraft, Proceedings of the Twenty- Fifth ACM SIGKDD Conference On Knowledge Discovery And Data Mining, 2019.
  2. S. Chakraborty, S. Das, A. Banerjee, S.K.S. Gupta, P. R. Christensen, Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters, Proceedings of the Thirty-First Annual Conference on Innovative Applications of Artificial Intelligence, 2019.
  3. S. Chakraborty, A. Banerjee, S. Gupta, P. R. Christensen, A. Papandreou-Suppappola, Time-Varying Mod- eling of Land Cover Change Dynamics Due to Forest Fires, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 6, pp. 1769–1776, 2018.
  4. S. Chakraborty, A. Banerjee, S. Gupta, P. Christensen, Region of Interest Aware Compressive Sensing of THEMIS Images and Its Reconstruction Quality, IEEE Aerospace Conference, 2018.
  5. S. Chakraborty, A. Banerjee, S. Gupta, A. Papandreou-Suppappola, P. Christensen, Estimation of Dynamic Parameters of MODIS NDVI Time Series Nonlinear Model Using Particle Filtering, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1091–1094, 2017.

Conference Abstracts and Posters

  1. S. Chakraborty, Multispectral Analysis of Land Surface Reflectance Time-Series for Clustering Change Events, NASA Second AI and Data Science Workshop, February 2021.
  2. S. Chakraborty, V.L. Kalb, M.O. Roman, Z. Wang, E.C. Stokes, R.M. Shrestha, I.L. Paynter, T. Oda, Modeling VIIRS Brightness Temperature for Improving Nighttime Cloud Detection, AGU Fall Meeting Abstract, December 2020.
  3. E. C. Stokes, M. O. Roman, R.M. Shrestha, Z. Wang, V. L. Kalb, I. L. Paynter, S. Chakraborty, T. Oda, Battling COVID-19 from Space: Cross-Scale Changes in Urban Activity Captured by NASA’s Black Marble Product Suite, AGU Fall Meeting Abstract, December 2020.
  4. M. O. Roman, E.C. Stokes, R.M. Shrestha, Z. Wang, V.L. Kalb, I.L. Paynter, S. Chakraborty, T. Oda Tracking Responses to the COVID-19 Pandemic using NASA’s Black Marble Product Suite, AGU Fall Meeting Abstract, December 2020.
  5. S. Chakraborty, Analysis of Multispectral Land Surface Reflectance Time-Series for Detecting and Classifying Land Cover Change, 2nd NOAA Workshop on Leveraging AI in Environmental Sciences, November 2020.
  6. S. Chakraborty, Towards Data-Informed Climate Sciences – Leveraging Machine Learning Inferences of Satellite Observations, Workshop in Data Science in Climate and Climate Impact Research, August 2020.
  7. S. Chakraborty, Unsupervised Land Cover Change Detection and Interpretation from Multispectral Satellite Image Time-Series, Women In Machine Learning Workshop, ICML, 2020.
  8. S. Chakraborty, Time-Varying Semantic Representations of Planetary Observations for Discovering Novelties, AI for Earth Workshop, ICLR, 2020.
  9. S. Chakraborty, A. Papandreou-Suppappola, P.R. Christensen, Class Separability of Land Cover Change Events from Multispectral Satellite Image Time-Series, AGU Fall Meeting Abstract, December 2019.
  10. K. L. Wagstaff, G. Doran, A. Davies, S. Anwar, S. Chakraborty, M. Cameron, J. Bapst, S. Chien, C. Cochrane, I. Daubar, S. Diniega, C. Phillips, S. Piqueux, Responsive Onboard Science for the Europa Clipper Mission, JPL Data Science Showcase, April 2019.
  11. K. L. Wagstaff, D. L. Blaney, S. Chakraborty, S. A. Chien, A. G. Davies, S. Diniega, and G. Doran, Spectral Anomaly Detection for the Mapping Imaging Spectrometer for Europa (MISE), 50th Lunar and Planetary Science Conference, Abstract #1604, March 2019.
  12. S. Chakraborty, A. Banerjee, S. K. S Gupta, P. R. Christensen, A. Papandreou-Suppappola, Multitemporal Analysis of Image Time-Series for Land Cover Change Detection and Unsupervised Classification of Change Event Using Spectral Analysis, AGU Fall Meeting Abstract, 2018.
  13. K. L. Wagstaff, A. Davies, G. Doran, S. Chakraborty, S. Anwar, D. L. Blaney, S. Chien, P. R. Christensen, and S. Diniega, Responsive Onboard Science for Europa Clipper, Outer Planets Assessment Group Meeting, Sept 2018.
  14. S. Chakraborty, A. Banerjee, S. Gupta, P. Christensen, A. Papandreou-Suppappola, Automated Land Cover Change Detection and Mapping from Hidden Parameter Estimates of Normalized Difference Vegetation Index (NDVI) Time-Series, AGU Fall Meeting Abstract, 2017.

Presentations and Talks

  1. Feature Extraction from Visible Infrared Imaging Radiometer Suite (VIIRS) Observations for Monitoring the Earth at Night, International Virtual School on Application of Machine Learning and IoT in Remote Sensing, Chapnet- 2020, IEEE Geoscience and Remote Sensing Society, Kolkata Chapter, December 2020.
  2. Latent Space Representations of VIIRS Multispectral Observations for Monitoring the Earth at Night, NASA GSFC Early Career Scientist Forum, November 2020.
  3. Analysis of Multispectral Land Surface Reflectance Time-Series for Detecting and Classifying Land Cover Change, 2nd NOAA Workshop on Leveraging AI in Environmental Sciences, November 2020.
  4. Extracting Features from VIIRS Observations for Monitoring the Earth at Night, NASA SED Director’s Seminar (Earth Science Division), November 2020.
  5. Towards Data-Informed Climate Sciences – Leveraging Machine Learning Inferences of Satellite Observations, Workshop in Data Science in Climate and Climate Impact Research, Weather and Climate Risks Group, ETH Zurich, August 2020.
  6. Time-Varying Semantic Representations of Planetary Observations for Discovering Novelties, AI for Earth Workshop, ICLR, April 2020.
  7. Class Separability of Land Cover Change Events from Multispectral Satellite Image Time-Series, AGU Fall Meeting, December 2019.
  8. Invited: Adaptive Representations of Multispectral Satellite Images for Change and Novelty Detection, Carnegie Institute for Science, October 2019.
  9. Invited: Tracking Dynamic Changes in Land Surface Using Statistical Processing and Bayesian Modeling of Satellite Time- Series Data, Department of Earth and Environment, Boston University, October 2019.
  10. Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters, IAAI/AAAI, January 2019.
  11. Spectral Anomaly Detection for Europa Clipper, Machine Learning and Instrument Autonomy Group, Jet Propulsion Laboratory, July 2018.
  12. Region of Interest Aware Compressive Sensing of THEMIS Images and Its Reconstruction Quality, IEEE Aerospace Conference, March 2018.
  13. Unsupervised Seismic Anomaly Detection, Los Alamos National Laboratory, August 2017.
  14. Estimation of Dynamic Parameters of MODIS NDVI Time Series Nonlinear Model Using Particle Filtering, IEEE IGARSS, July 2017.
  15. Multitemporal Analysis of Satellite Image Time-Series for Land Cover Change Detection, NASA JPL Climate Sciences Summer School, August 2016.