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Massachusetts Institute of Technology

Adaptive sampling of transient environmental phenomena with autonomous mobile platforms

Abstract

dc:description.abstract

In the environmental and earth sciences, hypotheses about transient phenomena have been universally investigated by collecting physical sample materials and performing ex situ analysis. Although the gold standard, logistical challenges limit the overall efficacy: the number of samples are limited to what can be stored and transported, human experts must be able to safely access or directly observe the target site, and time in the field and subsequently the laboratory, increases overall campaign expense. As a result, the temporal detail and spatial diversity in the samples may fail to capture insightful structure of the phenomenon of interest. The development of in situ instrumentation allows for near real-time analysis of physical phenomenon through observational strategies (e.g., optical), and in combination with unmanned mobile platforms, has considerably impacted field operations in the sciences.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Joint Program in Applied Ocean Physics and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Preston, Victoria Lynn.
Advisor dc:contributor.advisor
  • Anna Michel and Nicholas Roy.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/124212
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/124212

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Preston, Victoria Lynn.. Adaptive sampling of transient environmental phenomena with autonomous mobile platforms. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124212