Comparison of Machine Learning Land Use-Land Cover Supervised Classifiers Performance on Satellite Imagery Sentinel 2 using Lazy Predict Library

Comparison of Machine Learning Land Use-Land Cover Supervised Classifiers Performance on Satellite Imagery Sentinel 2 using Lazy Predict Library

The utilisation of various supervised classifier algorithms in classifying land use and land cover (LULC) from satellite imagery has been widely used worldwide, yet the implementation using lazy predict library remained unexplored. This study aims to create the LULC supervised classifier model for...

Full description

Bibliographic Details
Main Authors: Muhamad Iqbal Januadi Putra, Vincent Alexander
Format: Article
Language:Indonesian
Published: Yocto Brain 2023-12-01
Series:Indonesian Journal of Data and Science
Subjects:
Classification
Machine Learning
Lazy Predict Library
LULC
Remote Sensing
Online Access:https://jurnal.yoctobrain.org/index.php/ijodas/article/view/102

Internet

https://jurnal.yoctobrain.org/index.php/ijodas/article/view/102

Similar Items