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Characterizing Agricultural Surface Roughness Using a Terrestrial Laser Scanner: Implications for Soil Moisture Retrieval from Remote Sensing Products

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Title: Characterizing Agricultural Surface Roughness Using a Terrestrial Laser Scanner: Implications for Soil Moisture Retrieval from Remote Sensing Products
Author: Chabot, Melanie
Department: Department of Geography
Program: Geography
Advisor: Berg, AaronLindsay, John
Abstract: Adequate descriptions of soil surface roughness are vital for the accurate retrieval of soil moisture maps from remote sensing products. Terrestrial laser scanners (TLSs) have the potential to offer a more comprehensive method of measuring surface roughness than traditional techniques but are underused in this application. This research examines the use of TLSs for measuring the surface roughness of bare agricultural fields in Elora, Ontario. Through the development and application of an innovative plug-in called Roughness from Point Could Profiles (RPCP), this research compares TLS surface roughness characterizations to those derived from a pin profiler. Discrepancies between pin profiler and TLS roughness characterizations can be partially explained by LiDAR shadowing in some cases but are likely caused by other factors such as de-trending techniques, profile length, and profile orientation. The results of this research illustrate roughness variations across fields and between roughness profile orientations according to tillage structures.
URI: http://hdl.handle.net/10214/9622
Date: 2016-05


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