QUANTIFYING THE ADDED VALUE OF AGILE VIEWING RELATIVE TO NON-AGILE VIEWING TO INCREASE THE INFORMATION CONTENT OF SYNTHETIC SATELLITE RETRIEVALS

dc.contributor.advisorForman, Barton Aen_US
dc.contributor.authorMcLaughlin, Colinen_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2022-06-15T05:45:37Z
dc.date.available2022-06-15T05:45:37Z
dc.date.issued2022en_US
dc.description.abstractSatellite sensors typically employ a “non-agile” viewing strategy in which the boresight angle between the sensor and the observed portion of Earth’s surface remains static throughout operation. With a non-agile viewing strategy, it is relatively straightforward to predict where observations will be collected in the future. However, non-agile viewing is limited because the sensor is unable to vary its boresight angle as a function of time. To mitigate this limitation, this project develops an algorithm to model agile viewing strategies to explore how adding agile pointing into a sensor platform can increase desired information content of satellite retrievals. The synthetic retrievals developed in this project are ultimately used in an observing system simulation experiment (OSSE) to determine how agile pointing has the potential to improve the characterization of global freshwater resources.en_US
dc.identifierhttps://doi.org/10.13016/nnqz-ae3y
dc.identifier.urihttp://hdl.handle.net/1903/28790
dc.language.isoenen_US
dc.subject.pqcontrolledRemote sensingen_US
dc.subject.pqcontrolledWater resources managementen_US
dc.subject.pquncontrolledAgileen_US
dc.subject.pquncontrolledSatelliteen_US
dc.subject.pquncontrolledSchedulingen_US
dc.subject.pquncontrolledSensoren_US
dc.subject.pquncontrolledSimulationen_US
dc.subject.pquncontrolledWateren_US
dc.titleQUANTIFYING THE ADDED VALUE OF AGILE VIEWING RELATIVE TO NON-AGILE VIEWING TO INCREASE THE INFORMATION CONTENT OF SYNTHETIC SATELLITE RETRIEVALSen_US
dc.typeThesisen_US

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