Call for Papers: “Big Data in Earth System Science”

Editors: J. Indu, Indian Institute of Technology Bombay (indusj@civil.iitb.ac.in) and Sujay V. Kumar, NASA/GSFC (Sujay.V.Kumar@nasa.gov)

The vantage point of satellite constellations empower us to study earth’s changing processes and their dynamic interactions between atmosphere, biosphere, hydrosphere, lithosphere over a range of spatial and temporal scales. Realistic representation of earth’s changing dynamics requires observing processes at the scale at which they occur, and not at the scale at which they are measured. Even though a plethora of satellite sensors redefine measurement scale, our ability to collect satellite data far out spaces our ability to sensibly assimilate it. Remote sensing data for earth observation with storage volumes well beyond dozens of petabytes continue to rapidly increase in transmission rates exceeding hundreds of terabytes/day. As such, earth system science has undoubtedly entered an era of “Big data”. In this special issue, contributions are sought from researchers and service providers utilizing big data for earth system science.

Topics of interest include but are not limited to:

  • Big data and Machine learning for Earth System Sciences
  • Deep learning -  shifting paradigm in Hydrology
  • Fusion and assimilation of Remote Sensing big data
  • Applications of remote sensing big data in Predictive Modelling
  • Big data processing and cloud computing for water and carbon cycles
  • Challenges in using big data for earth observation

Deadline for submission of manuscripts: March 1, 2021 (NEW DATE!)

Manuscripts may be submitted here: https://www.editorialmanager.com/rses/default.aspx

Author instructions: https://www.springer.com/journal/41976/submission-guidelines