Zola Adjei, Brigham Young University
Engineering
The research project is aimed at developing a tool to monitor the progress of rehabilitation efforts in Lake Malheur in Harney count, Oregon. The application of remote sensing techniques, which will be used to detect chlorophyll-a distribution from water algae growth in the lake. Concentrations of chlorophyll-a act as an indicator for algal blooms, which compete for nutrients and oxygen and can have significant detrimental effects on a body of water. To better identify the trend in growth activities of algal colonies, remote sensing will be effective in developing a model to map the path and region of high activities of algal growth and subsequently monitoring fish habitation on the entire Malheur Lake. The method uses satellite images which measure the reflectance of pigment concentrations, which can then be quantified as concentrations of chlorophyll-a using appropriate software and algorithms. The algorithms are based on relationships between the chlorophyll-a concentration measured in-situ and the reflectance measured in the satellite images. The algorithm that would be tested relies on the ratio of suitable bands in the electromagnetic spectrum. The Oregon Fish and Wildlife services have set preliminary actions by taking chlorophyll measurements earlier this year that will be used to help draw the relationship between the measured and satellite derived chlorophyll-a concentrations. There exists a research group in the Civil and Environmental engineering department that have employed this process on the Deer Creek lake in Utah and other surrounding water bodies which has shown successful outcomes in monitoring these lake’s water quality parameters including chlorophyll-a to help support the survival of fishes, restore their habitats and preserve cultural history. There will be a comparison done to the performance of remote sensing models in a large, shallow lake in Oregon, compared to models developed in deep, narrow lakes.