Geography ETDs

Andrew Loerch

Publication Date

Summer 7-30-2016

Abstract

The model, “Remote Sensing Communication Model” (RSCM), which permits the estimation of the timeliness of remote sensing systems (RSS) is tested (Lippitt, Stow, & Clarke, 2014). This model conceptualizes RSS as having capacities that determine the timeliness of the systems, where a system is comprised of three segments, each with a capacity that determines the timeliness of that segment: acquisition capacity, transmission capacity, and receiver capacity (i.e., the capacity of a human and/or machine analyst to produce information) (Lippitt et al., 2014). Acquisition and transmission capacity analyses are run to aid in the optimization of a flexible time-sensitive remote sensing system being designed for emergency response in Bernalillo County, NM. Modeled timeliness is validated using empirical tests of airborne acquisitions, the model modified to improve fit, and then used for a variety of manned and unmanned platform and sensor combinations to infer the timeliness of data delivery to emergency managers, based on both currently available and potential airborne assets. In doing so, this research assesses the accuracy of capacity based estimates of timeliness for airborne RSSs and demonstrate a method for the optimization of platform, sensor, and transmission configurations for emergency response.

Degree Name

Geography

Department Name

Geography

Level of Degree

Masters

First Committee Member (Chair)

Lippitt, Christopher

Second Committee Member

Lippitt, Caitlin

Third Committee Member

Xiao, Danqinq

Document Type

Thesis

Project Sponsors

National Science Foundation Award # CMMI-1360041

Language

English

Keywords

Remote Sensing, Disaster, Emergency Management, RSCM, Remote Sensing Communication Model, Remote Sensing Systems

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