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Utilizing sUAS-Based Remote Sensing ...

Kinder, Isaac C.,

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Utilizing sUAS-Based Remote Sensing for Sustainable Outdoor Recreational Trail Design and Monitoring /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Utilizing sUAS-Based Remote Sensing for Sustainable Outdoor Recreational Trail Design and Monitoring // Isaac C Kinder.
作者:	Kinder, Isaac C.,
面頁冊數:	1 electronic resource (41 pages)
附註:	Source: Masters Abstracts International, Volume: 86-03.
Contained By:	Masters Abstracts International86-03.
標題:	Software. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31359883
ISBN:	9798384339465

Utilizing sUAS-Based Remote Sensing for Sustainable Outdoor Recreational Trail Design and Monitoring /
Kinder, Isaac C.,

Utilizing sUAS-Based Remote Sensing for Sustainable Outdoor Recreational Trail Design and Monitoring /Isaac C Kinder. - 1 electronic resource (41 pages)

Source: Masters Abstracts International, Volume: 86-03.

This study utilizes sUAS-based remote sensing and hydrologic models to analyze and predict locations susceptible to water-based trail erosion. Erosion is frequently cited as the most significant environmental impact of trails and often requires costly design and management considerations. A professionally designed trail totaling 4 km in length was segmented based on presence or absence of water-based erosion for analyses and then flown with sUAS technology. Three Logistic regression (LR) models were generated utilizing several hydrologic terrain models of varying resolutions to determine the effects of spatial resolution on the models' predictive accuracies. Receiver operator characteristics, kappa, and overall accuracy assessments all indicated better predictive accuracy for the highest resolution sUAS-based data. The LR model for the sUAS-based data identified areas with high total catchment area and low profile curvature values as having higher probability for erosion. This study offers guidelines for novel approaches to sustainable trail design and monitoring.

English

ISBN: 9798384339465Subjects--Topical Terms:

619355
Software.

Utilizing sUAS-Based Remote Sensing for Sustainable Outdoor Recreational Trail Design and Monitoring /
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