This study is the case study which verifies usefulness of the methodology we have developed to score changes in sequential riverscape. We extracted 24 riverbanks worth being part of waterscape viewed from the water surface and riverbank, located in the urban area of Osaka City, created a sequential 2D image of each riverscape, identified important elements of and open spaces, and then scored them in accordance with their features relevant to sequential changes. Through the scoring, the study found that the sequential views from the water surface were categorized into four types, ranging from the richest in scenery variation to the least changeable monotonous type. Furthermore, it discovered that the middle type was divided into two subgroups by the amount of green coverage space in variation, that is, whether it serves as the basis for landscape changes or solely appears as a frequent accent. Our scoring method made it easy to grasp contributors to landscape attractiveness, including a sequence of changes and scenic spot components, as well as human viewing locations along each river. This technique has thus been proved useful in understanding the characteristics of rivers when riverfront improvement is designed and planned.
