Development of a method for building a landuse database using Web resources

2019 Fiscal Year Final Research Report

• Project/Area Number: 16K08136
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Environmental agriculture(including landscape science)
• Research Institution: National Agriculture and Food Research Organization
• Principal Investigator: Iwasaki Nobusuke 国立研究開発法人農業・食品産業技術総合研究機構, 農業環境変動研究センター, ユニット長 (70354016)
• Project Period (FY): 2016-04-01 – 2020-03-31
• Keywords: 土地利用図 / 旧版地形図 / 深層学習 / 地図タイル / 敵対的生成ネットワーク

Outline of Final Research Achievements

In this study, it is aimed to develope a method for building a landuse database using the Web available map resources. Today, varias formats of map data is available on the Web. In the meantime, it was decided to use Map tile data. And deep learning, which have developed rapidly in recent years, was used to generate landuse data from map tile, and it is developed a program for this object. The landuse data was building from map tile data derived from old topographic map published by Japanese MapWarper. In further research, it is required to determine optimal resolution of map tile and a coloration of map legend for constructing a highly accurate landuse database.

Free Research Field

地理情報学

Academic Significance and Societal Importance of the Research Achievements

本研究の成果を活用することにより，土地の歴史性を反映させた環境保全や土地利用計画の策定が可能となる。また、生物多様性の保護や伝統的農村が持っていた生態系サービスの評価等において重要な情報を提供できる。また、これまで主に背景画像として利用されてきた地図タイルを、深層学習に用いたことは、空間情報の活用に新たな展開をもたらすものであり、今後、様々な分野での活用が期待される。