Evaluating the spatial and temporal variations of aquatic weeds (Biomass) on Lower Volta River using multi-sensor Landsat Images and machine learning.

Autor: Nyamekye C; Department of Civil Engineering, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Ofosu SA; Department of Civil Engineering, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Arthur R; Department of Energy Systems Engineering, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Osei G; Department of Automotive Engineering, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Appiah LB; Department of Environmental Management and Technology, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Kwofie S; Department of Applied Statistics, Koforidua Technical University, P. O. Box KF981, Koforidua, Ghana., Ghansah B; Department of Geomatic Engineering, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana., Bryniok D; Hamm-Lippstadt University of Applied Sciences, Marker Allee 76-78, 59063 Hamm, Germany.

Publikováno v: Heliyon [Heliyon] 2021 May 19; Vol. 7 (5), pp. e07080. Date of Electronic Publication: 2021 May 19 (Print Publication: 2021).