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Title

Thermal Remote Sensing of Jensen Lake: Investigating Spatial Heterogeneity of Water Surface Temperature

Presentation Type

Poster Presentation

Keywords

Water temperature--Iowa--Hardin County--Measurement; Drone aircraft--Scientific applications; Remote sensing--Equipment and supplies;

Abstract

This study focuses on the use of a thermal camera on an eBee fixed wing Unmanned Aerial System (UAS) to measure the surface temperature of Jensen Lake located east of Iowa Falls, Iowa. At the bottom of the lake are two aerators that are used to circulate the water prevent freezing in the winter. During warm months, these aerators bring cold water from below the thermocline to the surface, thus affecting surface temperature. Tile feeds from surrounding farm land drain into the lake as well, also affecting surface temperature. The thermal data provided a means to visualize and quantify the local temperature variations across the lake surface. Using the Hot Spot Analysis (Getis-Ord Gi*) tool in ArcGIS, high clusters of high temperatures were found on the western portion of the lake as well as shallow areas. High clusters of low temperatures were found in areas that were shaded, surround the aerators, and at the locations of the tile feeds.

Start Date

4-4-2017 11:00 AM

End Date

4-4-2017 1:30 PM

Faculty Advisor

Patrick Pease

Department

Department of Geography

Comments

Location: Maucker Union Ballroom

Embargo Date

4-4-2017

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Apr 4th, 11:00 AM Apr 4th, 1:30 PM

Thermal Remote Sensing of Jensen Lake: Investigating Spatial Heterogeneity of Water Surface Temperature

This study focuses on the use of a thermal camera on an eBee fixed wing Unmanned Aerial System (UAS) to measure the surface temperature of Jensen Lake located east of Iowa Falls, Iowa. At the bottom of the lake are two aerators that are used to circulate the water prevent freezing in the winter. During warm months, these aerators bring cold water from below the thermocline to the surface, thus affecting surface temperature. Tile feeds from surrounding farm land drain into the lake as well, also affecting surface temperature. The thermal data provided a means to visualize and quantify the local temperature variations across the lake surface. Using the Hot Spot Analysis (Getis-Ord Gi*) tool in ArcGIS, high clusters of high temperatures were found on the western portion of the lake as well as shallow areas. High clusters of low temperatures were found in areas that were shaded, surround the aerators, and at the locations of the tile feeds.