Trent University Graduate Thesis Collection

Item Description
Identifier
tula:etd
Type
Collection
Language
eng
Extent
1 item
Rights
Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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Modelling Submerged Coastal Environments: Remote Sensing Technologies, Techniques, and Comparative Analysis

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Year: 2016, 2016
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Dillon, Chris, Thesis advisor (ths): Ponce Hernandex, Raul, Degree committee member (dgc): Franklin, Steven E., Degree committee member (dgc): Dodd, David, Degree granting institution (dgg): Trent University
Abstract: <p>Built upon remote sensing and GIS littoral zone characterization methodologies of the past decade, a series of loosely coupled models aimed to test, compare and synthesize multi-beam SONAR (MBES), Airborne LiDAR Bathymetry (ALB), and satellite based optical data sets in the Gulf of St. Lawrence, Canada, eco-region. Bathymetry and relative intensity metrics for the MBES and ALB data sets… more
Full Text: MODELLING SUBMERGED COASTAL ENVIRONMENTS: REMOTE SENSING TECHNOLOGIES, TECHNIQUES, AND COMPARATIVE ANALYSIS A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfillment of the Requirements for the Degree of Master of Science in the …

A methodological framework for the assessment and monitoring of forest degradation under the REDD+ programme based on remote sensing techniques and field data

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Year: 2015, 2015
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Romero Sanchez, Martin Enrique, Thesis advisor (ths): Ponce Hernandez, Raul, Degree committee member (dgc): Franklin, Steven E., Degree committee member (dgc): Gibson, Carey, Degree granting institution (dgg): Trent University
Abstract: <p>In this thesis, a methodological framework for the assessment and monitoring of forest degradation based on remote sensing techniques and field data, as part of the REDD+ programme, is presented. The framework intends to support the implementation of a national Monitoring, Verification and Report (MRV) system in developing countries. The framework proposed an operational definition of… more
Full Text: A methodological framework for the assessment and monitoring of forest degradation under the REDD+ programme based on remote sensing techniques and field data. A Thesis submitted to the Committee on Graduate Studies in Partial Fulfillment of the …