Towards marine bloom trajectory prediction for AUV mission planning

Jnaneshwar Das, Kanna Rajan, Sergey Frolov, Frederic Py, John Ryan, David A. Caron, Gaurav S. Sukhatme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

This paper presents an oceanographic toolchain that can be used to generate multi-vehicle robotic surveys for large-scale dynamic features in the coastal ocean. Our science application targets Harmful Algal Blooms (HABs) which have significant societal impact to coastal communities yet are poorly understood ecologically. Bloom patches can be large spatially (in kms) and unpredictable in their extent. To understand their ecology, we need to be able to bring back water samples from the 'right' places and times for lab analysis. In doing so, we target hotspots representative of intense biogeochemical activity for such sampling. Our approach uses remote sensing data to detect such hotspots using ocean color as a proxy, and advectively projects these patches spatio-temporally using surface current data from HF Radar stations. Experiments with satellite and Radar data sets are promising for large, coherent blooms. We show how these predictions can be used to select an appropriate sampling trajectory for an AUV.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Pages4784-4790
Number of pages7
DOIs
StatePublished - Aug 26 2010
Externally publishedYes
Event2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK, United States
Duration: May 3 2010May 7 2010

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2010 IEEE International Conference on Robotics and Automation, ICRA 2010
CountryUnited States
CityAnchorage, AK
Period5/3/105/7/10

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Towards marine bloom trajectory prediction for AUV mission planning'. Together they form a unique fingerprint.

  • Cite this

    Das, J., Rajan, K., Frolov, S., Py, F., Ryan, J., Caron, D. A., & Sukhatme, G. S. (2010). Towards marine bloom trajectory prediction for AUV mission planning. In 2010 IEEE International Conference on Robotics and Automation, ICRA 2010 (pp. 4784-4790). [5509930] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2010.5509930