Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Dash, Padmanava

Committee Member

Mercer, Andrew E.

Committee Member

Ambinakudige, Shrinidhi S.

Date of Degree

8-9-2019

Original embargo terms

Visible MSU Only 2 Years

Document Type

Graduate Thesis - Open Access

Major

Geospatial science

Degree Name

Master of Science

College

College of Arts and Sciences

Department

Department of Geosciences

Abstract

Classification of remotely sensed imagery for reliable land use and land cover (LULC) change information remains a challenge in areas where spectrally similar LULC features occur. Dissolved organic matter (DOM) influences the biogeochemistry of aquatic environments and its quantity and quality are due, in large part, to the surrounding LULC. Thus, objectives were to improve the accuracy of LULC classification and quantify seasonal variations of water quality in a watershed dominated by agriculture and determine the controls for the variations in water quality. Support vector machine classification scheme with post classification correction yielded highest accuracy for LULC classifications and four distinct DOM components were found that changed seasonally and were controlled by hydrology and LULC. The microbial component was the main fraction of the DOM pool due in large part to agricultural practices. This DOM can influence the water quality significantly as it moves downstream and causes increased biological activity.

URI

https://hdl.handle.net/11668/14595

Sponsorship

United States Department of Agriculture (USDA) Award # 2017-67020-26375

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