International Journal of Scientific and Research Publications

IJSRP, Volume 10, Issue 12, December 2020 Edition [ISSN 2250-3153]


Coal Pit Mapping with Random Forest-Based Ensemble Machine Learning at Lower Benue Trough
      Okeke Francis Ifeanyi, Ibrahim Adesina Adekunle, Echeonwu Emmanuel Chinyere
Abstract: This work entails identifying areas of all coal pits in and around a part of Lower Benue trough where coal exploitation had taken place in the past, using random forest machine learning technique with out-of-bag (OOB) estimate of generalization error. Training sites were selected from the Landsat image covering the area of interest using QGIS image processing software. Two well-known exploited sites were selected as coal training sites while few other ones also identified were reserved for validation. Some other areas known to be different than coal sites were selected and classed as non-coal areas.

Reference this Research Paper (copy & paste below code):

Okeke Francis Ifeanyi, Ibrahim Adesina Adekunle, Echeonwu Emmanuel Chinyere (2020); Coal Pit Mapping with Random Forest-Based Ensemble Machine Learning at Lower Benue Trough; International Journal of Scientific and Research Publications (IJSRP) 10(12) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.10.12.2020.p10851
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