Combining data collection from unmanned surface vehicles with geospatial analysis: Tools for improving surface water sampling, monitoring, and assessment

Andrew F. Casper, Michael L. Hall, Barnali Dixon, Eric T. Steimle

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

Abstract

Tidal rivers and accompanying coastal environments represent critical links between the open estuary and the local tributary and watershed. In Florida, these coastal ecosystems are multi-use systems. They are often a primary source of water for agricultural, industrial, and human consumption all while functioning as commercial and recreational shipping thoroughfares and receiving storm water runoff and NPDES discharges. In addition to their importance for those direct human uses, their quality and characteristics directly affect the spawning, nursery, and juvenile habitats for numerous commercial and sport fisheries. Thus monitoring and assessment, especially identifying spatial patterns or trends in water chemistry (e.g. temperature, conductivity, salinity, turbidity, chlorophyll, dissolved organic matter and dissolved gasses), of these tidal environments can represent a complex sampling and analysis challenge. There is a perception that sampling and analyzing parameters at regularly spaced intervals over the surface area of a river system will be representative of general trends. However, standard sampling strategy assumes both that parameters will change in a consistent longitudinal and downstream manner and that the average of a parameter is the level where negative impacts occur. Using an innovative combination of unmanned surface vehicles (USV) and geospatial analytical techniques, we will show that this perception is not an entirely accurate or complete view.

Original languageEnglish (US)
Title of host publicationOceans 2007 MTS/IEEE Conference
DOIs
StatePublished - Dec 1 2007
EventOceans 2007 MTS/IEEE Conference - Vancouver, BC, Canada
Duration: Sep 29 2007Oct 4 2007

Publication series

NameOceans Conference Record (IEEE)
ISSN (Print)0197-7385

Other

OtherOceans 2007 MTS/IEEE Conference
CountryCanada
CityVancouver, BC
Period9/29/0710/4/07

Fingerprint

surface water
sampling
monitoring
shipping
intertidal environment
sport
dissolved organic matter
water chemistry
river system
coastal zone
turbidity
tributary
analytical method
chlorophyll
spawning
conductivity
surface area
fishery
estuary
watershed

ASJC Scopus subject areas

  • Oceanography

Cite this

Casper, A. F., Hall, M. L., Dixon, B., & Steimle, E. T. (2007). Combining data collection from unmanned surface vehicles with geospatial analysis: Tools for improving surface water sampling, monitoring, and assessment. In Oceans 2007 MTS/IEEE Conference [4449189] (Oceans Conference Record (IEEE)). https://doi.org/10.1109/OCEANS.2007.4449189

Combining data collection from unmanned surface vehicles with geospatial analysis : Tools for improving surface water sampling, monitoring, and assessment. / Casper, Andrew F.; Hall, Michael L.; Dixon, Barnali; Steimle, Eric T.

Oceans 2007 MTS/IEEE Conference. 2007. 4449189 (Oceans Conference Record (IEEE)).

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

Casper, AF, Hall, ML, Dixon, B & Steimle, ET 2007, Combining data collection from unmanned surface vehicles with geospatial analysis: Tools for improving surface water sampling, monitoring, and assessment. in Oceans 2007 MTS/IEEE Conference., 4449189, Oceans Conference Record (IEEE), Oceans 2007 MTS/IEEE Conference, Vancouver, BC, Canada, 9/29/07. https://doi.org/10.1109/OCEANS.2007.4449189
Casper, Andrew F. ; Hall, Michael L. ; Dixon, Barnali ; Steimle, Eric T. / Combining data collection from unmanned surface vehicles with geospatial analysis : Tools for improving surface water sampling, monitoring, and assessment. Oceans 2007 MTS/IEEE Conference. 2007. (Oceans Conference Record (IEEE)).
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