Land Use and Land Cover Simulation

Abstract

It is important to consider the dynamics of Land Use and Land Cover (LULC) patterns and how they affect society and the environment. Traditional LULC change evaluation methods can be inaccurate and require a lot of manual labor. However, AI techniques like deep learning and machine learning have shown a lot of promise for improving and automating LULC simulation processes. In this chapter, the importance of applying AI to LULC simulation is emphasized, along with the precision, efficacy, and scalability it offers. The importance of AI-based LULC simulation for making well-informed decisions in a variety of fields, including urban planning, agriculture, and natural resource management, is highlighted in the abstract’s conclusion. AI-based methods have shown great promise in LULC analysis, producing accurate classification results and paving the way for subsequent simulations. These findings demonstrate the importance. These results highlight the significance of utilizing AI approaches to assist sustainable development, solve environmental issues, and influence land management choices.