Machine Learning Approach to LULC Forecasting

Abdelkader Riche,Riccardo Ricci,Farid Melgani, Ammar Drias,Boularbah Souissi

2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)（2024）

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摘要

This study explores the prediction of changes in Land Use and Land Cover (LULC) over the period of 2000 to 2040 in a region of Algeria. The research combines remote sensing data and machine learning techniques. Landsat image classification is applied to assess LULC changes for the years 2000 to 2020. In addition, a novel approach is employed to account for temporal factors influencing LULC changes in 2025, 2030, and 2040. Promising results are reported and discussed.

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关键词

LULC,Remote sensing,machine learning,novel approach,temporal factors

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