Article

Influence of socioeconomic drivers on land use and cover changes using Remote sensing and GIS in Dar es Salaam, Tanzania

2023-05-31

Abstract excerpt

Understanding human interactions demands modelling human-environment interactions. This study uses remote sensing and machine learning to evaluate land use and land cover (LULC) changes over 27 years in Dar es Salaam Metropolitan City, Tanzania, and the spatially varying relationships between LULC changes and socioeconomic driving factors. LULC change values and factors are retrieved from data points generated by...

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Literature Corpus work: dda998fa-1f39-51ff-93f7-49d343f9bc34
DOI: 10.22541/au.168553094.44765884/v1

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