Digital soil mapping in Chile can help improve resource management by creating detailed maps of different soil types and properties. By using predictive models and pedotransfer functions, researchers can estimate unknown soil variables based on known properties. This approach combines terrain data with soil samples to validate the accuracy of the models. The goal is to address the lack of detailed soil studies in specific ecosystems like highlands, wetlands, and remote regions, providing valuable information for ecological and environmental purposes.