• DocumentCode
    2688567
  • Title

    How do People Perceive the City´s Green Space? A View from Satellite Imagery (In Hanoi, Vietnam)

  • Author

    Pham, Thi Thanh Hien ; He, Dong-Chen

  • Author_Institution
    Dept. de geomatique Appl., Univ. de Sherbrooke, Sherbrooke, QC
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In urban design and management green space is one of the most important components concerning the satisfaction degree of the urban inhabitants. In such a circumstance, it is crucial for land managers and urbanites to know which type of green space the people living in cities prefer. However, this question has not been studied in developing countries in Asia. In this paper we verify the relation between the vegetation density of different green space types (extracted from a satellite image) and people´s satisfaction in Hanoi city, Viet Nam. We conducted Quickbird satellite image segmentations and classifications by using image color, geometric and contextual information in the software Definiens 5.0. We then calculated the vegetation density based on administrative units. To evaluate the correlation between the mapped vegetation densities with inhabitants´ satisfaction we carried out Spearman statistical tests. With a precision of 79% of image classification, we obtained four types of green space: agriculture, park trees, street-side trees and isolated trees. The results show that people are the mostly satisfied with the green space where street-side trees are the most popular green type.
  • Keywords
    environmental management; geophysics computing; image classification; image colour analysis; image segmentation; vegetation; Asia; Definiens 5.0 software; Hanoi; Quickbird satellite; Vietnam; city green space; image classifications; image color; image contextual information; image geometric information; image segmentation; satellite imagery; urban design; urban management; vegetation density; Asia; Cities and towns; Data mining; Helium; Image segmentation; Pixel; Quality management; Satellites; Testing; Vegetation mapping; Quickbird; green space; object-oriented classification; people´s satisfaction; urban;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779579
  • Filename
    4779579