Date Approved

12-7-2017

Embargo Period

12-13-2017

Document Type

Thesis

Degree Name

MS Civil Engineering

Department

Civil & Environmental Engineering

College

Henry M. Rowan College of Engineering

First Advisor

Nazari, Rouzbeh

Second Advisor

Everett, Jess

Third Advisor

Romanov, Peter

Subject(s)

Remote sensing--Mathematics; Ice on rivers, lakes, etc.

Disciplines

Civil and Environmental Engineering

Abstract

Satellite remote sensing of snow and ice has a long history. The traditional method for many snow and ice detection algorithms has been the use of the Normalized Difference Snow Index (NDSI). This manuscript is composed of two parts. Chapter 1, Development of a Mid-Infrared Sea and Lake Ice Index (MISI) using the GOES Imager, discusses the desirability, development, and implementation of alternative index for an ice detection algorithm, application of the algorithm to the detection of lake ice, and qualitative validation against other ice mapping products; such as, the Ice Mapping System (IMS). Chapter 2, Application of Dynamic Threshold in a Lake Ice Detection Algorithm, continues with a discussion of the development of a method that considers the variable viewing and illumination geometry of observations throughout the day. The method is an alternative to Bidirectional Reflectance Distribution Function (BRDF) models. Evaluation of the performance of the algorithm is introduced by aggregating classified pixels within geometrical boundaries designated by IMS and obtaining sensitivity and specificity statistical measures.

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