首页|Study Findings from University of Benin Broaden Understanding of Machine Learnin g (Exploring Google Earth Engine, Machine Learning, and GIS for Land Use Land Co ver Change Detection in the Federal Capital Territory, Abuja, between 2014 and 2 023)
Study Findings from University of Benin Broaden Understanding of Machine Learnin g (Exploring Google Earth Engine, Machine Learning, and GIS for Land Use Land Co ver Change Detection in the Federal Capital Territory, Abuja, between 2014 and 2 023)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Benin Cit y, Nigeria, by NewsRx journalists, research stated, “This study aims tovisualiz e various land use land cover (LULC) classes, estimate the net change in LULC ty pes between theyears 2014 and 2023, and use transition mapping to track LULC tr ansitions within waterbody, vegetation,bareland, and buildup to better understa nd how land use types change from one another.”
University of BeninBenin CityNigeriaAfricaCyborgsEmerging TechnologiesMachine Learning
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