Integrated Method for Classifying Medium Resolution Satellite Remotely Sensed Imagery into Land Use Map

Authors : Abdulazeez Onotu ALİYU, Ebenezer Ayobami AKOMOLAFE, Adamu BALA, Terwase YOUNGU, Hassan MUSA, Swafiyudeen BAWA

Pages : 135-144

Doi:10.30897/ijegeo.1150436

View : 48 | Download : 59

Publication Date : 2023-06-15

Article Type : Research Paper

Abstract :There are several remotely sensed images of varied resolutions available. As a result, several classification techniques exist, which are roughly classified as pixel-based and object-based classification methods. Based on the foregoing, this study provided an integrated method of deriving land use from a coarse satellite image. Location coordinates of the land uses were acquired with a handheld Global Positioning System insert ignore into journalissuearticles values(GPS); instrument as primary data. The study classified the image quantitatively insert ignore into journalissuearticles values(pixel-based); into built-up, water, riparian, cultivated, and uncultivated land cover classes with no mixed pixels, and then qualitatively into educational, commercial, health, residential, and security land use classes that were conflicting due to spectral similarity. The total accuracy and kappa coefficient of the pixel-based land cover classification were 92.5% and 94% respectively. The results showed that residential land use occupied an area of 5500.01ha, followed by educational insert ignore into journalissuearticles values(2800.69ha);; security insert ignore into journalissuearticles values(411.27ha);; health insert ignore into journalissuearticles values(133.88ha);; and commercial insert ignore into journalissuearticles values(109.01ha); respectively. The integrated method produces a crisp-appearance like the object-based image classification method. It eliminates the \`salt and pepper\` appearance that a traditional pixel-based classification would have. The output can be a vector or raster model depending on the purpose for which it is created.
Keywords : Land use, Land cover, pixel based classification, integrated method, spectral similarity