Evaluation of fractional green vegetation cover in residential area

Y. Yamagata, H. Seya, H. Bagan

研究成果: Conference article査読

1 被引用数 (Scopus)


Green vegetation plays rather important role in urban environment. Recently, re-vegetation in urban residential area is becoming important policy for urban planners from the view point of climate change measures. That is, by maintaining and regenerating green vegetation, both mitigation and adaptation can be achieved. In this regard, establishment of accurate assessment and evaluation methods for the green vegetation in urban environment is urgently needed. This research demonstrates such a method by using remote sensing technique and economic model with the case study of Tokyo metropolitan area. First, a high resolution green cover map is created by the classification of remotely sensed images (Landsat ETM+) using subspace method. Our past research have shown that the method performed better than conventional algorithms such as: Maximum Likelihood Classification (MLC), Self Organizing Map (SOM) neural network, and Support Vector Machine (SVM) methods. Then, we have projected the future distribution of green vegetation using a Computable Urban Economic (CUE) model developed recently. CUE model are often used for urban planning practitioners, but here we have developed a simplified CUE model focusing only on land-use changes but employing a higher ground resolution of the micro district level zones. This new model allows us to evaluate realistic/spatially finer green vegetation scenarios. We have created two extreme land-use scenarios: concentration and dispersion scenarios, and correspond changes as green cover map are created. The results show that the method demonstrated in this study has high applicability to the countries where conducting field survey of land cover is difficult.

ジャーナルInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
出版ステータスPublished - 2010
イベントISPRS Technical Commission VIII Symposium on Networking the World with Remote Sensing - Kyoto, Japan
継続期間: 2010 8月 92010 8月 12

ASJC Scopus subject areas

  • 情報システム
  • 地理、計画および開発


「Evaluation of fractional green vegetation cover in residential area」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。