Comparing Machine Learning Algorithms in Land Use Land Cover Classification of Landsat 8 (OLI) Imagery
O. J. Aigbokhan, O. J. Pelemo, O. M. Ogoliegbune, N. E. Essien, A. A. Ekundayo, S. I. Adamu
Asian Research Journal of Mathematics · pp. 62–74 · Published 9 Apr 2022
10.9734/arjom/2022/v18i330367Abstract
In recent times, there have been increased rates at which researchers are searching for advanced ways of carrying out land-use land-cover (LULC) mapping, especially in developing countries. Four machine-learning algorithms, namely Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbour (K-NN), and Gaussian Mixture Models (GMM) were examined. This study also attempted to validate the various models using the index-based validation method. Accuracy assessment was performed by using the Kappa coefficient. The results of the LULC showed that RF classified 23% of the study area as bare land, SVM has 24% of the study area classified as bare land, K-NN also allotted 24% to bare land, while that of GMM classifier was 30%. The overall accuracy of RF, SVM, K-NN and GMM were 0.9840, 0.9780, 0.9641 and 0.9421 respectively. The Kappa Coefficient of the various classifiers were RF (0.9695), SVM (0.9580), K-NN (0.9319) and GMM (0.8916). This study showed that though all the algorithms performed relatively very well, RF performed better than the other classifiers. It suffices to state that, there is a need for further studies since other extraneous environmental variables may be underpinning these conclusions.
Cited by 14
Deus Michael, Ray Singh Meena, Brijesh Kumar · Remote Sensing in Earth Systems Sciences · 2024
Nattapong Puttanapong, Nithima Nuengjumnong, JoJinda SaeJung · Geography and Sustainability · 2025
Sitthisak Moukomla, Wijitbusaba Marome · Urban Science · 2025
Lucas Berio Fortini, Qi Chen, Yoko Uyehara · International Journal of Remote Sensing · 2024
Rim Missaoui, Bilel Abdelkarim, Kaouther Ncibi · Euro-Mediterranean Journal for Environmental Integration · 2023
Deus Michael, Ray Singh Meena, Brijesh Kumar · South African Geographical Journal · 2025
Eskinder Gidey, Paidamwoyo Mhangara · Remote Sensing · 2023
Norman Karimazondo, Narissara Nuthammachot, Warangkana Jutidamrongphan · Journal of the Indian Society of Remote Sensing · 2026
Tahir Sattar, Nigar Fatima Mirza, Muhammad Asif Javed · Environmental Monitoring and Assessment · 2025
Showing 9 of 14 known citations — external sources report more than can currently be individually listed.
Related research
- Taxonomy of the Rhizobia: Current Perspectives — shares topic coverage
- Mathematical Analysis of a Class of Surface-Tension Driven Flows — shares topic coverage
- Experiments on the Use of Machine Learning Classification Methods in Online Crime Text Filtering and Classification — shares topic coverage
- A Novel Approach to Predict the Performance of Student and Knowledge Discovery Based on Previous Record — shares topic coverage
- Community Based Study of Cerebrovascular Risk Factors in Tripoli-Libya (North Africa) — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
14
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.