Improved land use and land cover classification and determination of the influence of land use and land cover on the water quality in an agriculture dominated watershed
Mercer, Andrew E.
Ambinakudige, Shrinidhi S.
Date of Degree
Original embargo terms
Visible MSU Only 2 Years||8/15/2021||8/15/2021
Graduate Thesis - Open Access
College of Arts and Sciences
Department of Geosciences
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.
United States Department of Agriculture (USDA) Award # 2017-67020-26375
Sanders, Scott Landon, "Improved land use and land cover classification and determination of the influence of land use and land cover on the water quality in an agriculture dominated watershed" (2019). Theses and Dissertations MSU. 2642.