This paper evaluates the ability of two machine learning algorithms, Random Forest (RF)
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …

Up-to-date and accurate land use and land cover (LULC) maps are vital for monitoring
various environmental and natural resources management. In this study, we evaluate …

Technical and mechanical development over time has a great impact on human life, as
researchers are continuously working to increase facility, and comfort and add fun to …

The Amazon rainforest has faced extensive deforestation for decades due to urban growth,
agricultural expansion, logging and mining. Mining however has been relatively …

Challenges exist in monitoring artisanal and small-scale mining (ASM) activities, given their
dynamic and often informal nature. ASM takes form through various techniques and scales …

ABSTRACT A study of land use and land cover (LULC) mapping using satellite data was
conducted in the Congo Basin rainforest in the Sangha area of the northern Congo …

Indonesia possesses many open-pit mining that require monitoring. This study aims to map
open pit mining in Central Bangka Regency, Bangka Belitung Islands Province, Indonesia …

The purpose of this study is to build an Artificial Intelligence Remote Sensing model for
Open-pit Mining Detection in the Tropical Environment of Indonesia. This is done based on …

Land reclamation and revegetation of post-mines need to be monitored regularly to ensure
their progress. The drone is potential due to its high resolution and simplicity in operation …