Social and Behavioral Sciences Commons^™

Seeing The Invisible: An Integrated Remote Sensing Approach To Mapping Buried Architecture At Las Colmenas, Virú Valley, Peru, Kayla C. Golay Lausanne

Electronic Thesis and Dissertation Repository

This thesis reports on the results of a survey project conducted in 2018 and 2019, intending to address two main research questions: (1) What remote sensing technique(s) worked best to identify buried features at Las Colmenas? (2) What combinations of techniques proved to be optimal for identifying buried features, and what are the benefits and limitations of the use of an integrated approach? This project incorporated two scales of analysis: macroscale optical and thermal Unmanned Aerial Vehicle (UAV) surveys and microscale Ground-Penetrating Radar (GPR), magnetic susceptibility, and magnetometry surveys. A side-by-side comparison proved the thermal UAV, GPR, and magnetic susceptibility …

Airborne Observations Of Thermal Anisotropy From Urban Residential Neighbourhoods In Salt Lake City, Utah, Samantha J. Claessens

Electronic Thesis and Dissertation Repository

Urban surface temperatures are important variables in urban climatological processes. This thesis examines the directional variability of remotely sensed urban surface temperatures (thermal anisotropy or Λ) for three vegetated residential neighbourhoods in Salt Lake City, Utah, USA. Airborne thermal remote sensing using a thermal imager sampled the directional brightness temperature (DBT) at three times within a day for each site. Results indicate that temporal variability over a 20 – 30-minute flight was not negligible. Average DBT were then extracted from atmospherically corrected images and plotted on polar plots. For low density residential neighbourhoods Λ is increased with increasing tree-canopy coverage …

Vegetation And Tree Species Classification Using Multidate And High-Resolution Satellite Imagery And Lidar Data, Matthew Roffey

Electronic Thesis and Dissertation Repository

Remote sensing can play a key role in understanding the makeup of urban forests. This thesis analyzes how high-resolution multispectral imagery, lidar point clouds, and multidate multispectral imagery allow for improved classification of London, Ontario’s urban forest. Chapter 2 uses object-based support vector machine classification (SVM) to classify five types of trees using features derived from Geoeye-1 imagery and lidar data. This results in an overall accuracy of 85.08% when features from both data sources are combined, compared with 77.73% when using only lidar features, and 71.85% when using only imagery features. Chapter 3 makes use of Planetscope and VENuS …

The Effect Of Sub-Facet Scale Geometry On Vertical Facet Temperatures In Urban Street Canyons, Rainer V.J. Hilland

Electronic Thesis and Dissertation Repository

Surface temperature plays a key role in many micro-scale urban processes. Walls comprise a significant percentage of the urban surface, yet are under-represented by many methods of thermal remote sensing and not considered in detail by micro-scale surface temperature mod- els. This thesis presents a novel method of mobile thermal observation performed in urban street canyons in London, ON that uses a thermal imager as well as a visual spectrum camera to provide dense spatial and temporal resolution of micro-scale wall temperature distributions. Images are manually classified by a series of nominal variables and the resulting data set discusses the …

Evaluation Of The Uav-Based Multispectral Imagery And Its Application For Crop Intra-Field Nitrogen Monitoring And Yield Prediction In Ontario, Yang Song

Electronic Thesis and Dissertation Repository

Unmanned Aerial Vehicle (UAV) has the capability of acquiring high spatial and temporal resolution images. This new technology fills the data gap between satellite and ground survey in agriculture. In addition, UAV-based crop monitoring and methods are new challenge of remote sensing application in agriculture.

First, in my thesis the potential of UAV-based imagery was investigated to monitor spatial and temporal variation of crop status in comparison with RapidEye. The correlation between red-edge indices and LAI and biomass are higher for UAV-based imagery than that of RapidEye. Secondly, the nitrogen weight and yield in wheat was predicted using the UAV-based …