Landscape element collection by using business intelligence (BI) tools

Abstract

This report focuses on business intelligence (BI) tools, which have been attracting attention in recent years and are being applied in our society. In particular, to discover the potential of BI tools in landscape urban planning, I examined the usefulness of a system for collecting landscape elements through machine learning. The results suggested that gathering information by using BI tools bridges multiple analytical tools and is particularly effective in terms of visualization. Object detection using machine learning, as applied in this report, resulted in a huge number of cropped images, so a framework for clearly classifying and organizing the results is necessary. Therefore, linking with a BI tool that can instantly store data seems to be an essential mechanism for creating a series of image collection systems. There were some obstacles, such as the need to spend a lot of time adjusting data storage at the stage of visualizing the results of the analysis. In the future, I intend to extract these individual issues and try to improve the system. I will also collect more information on BI tools in an effort to contribute to the social implementation of landscape research.