Comparing landcover patterns in Tokyo, Kyoto, and Taipei using ALOS multispectral images
Journal
Landscape and Urban Planning
Journal Volume
97
Journal Issue
2
Pages
132-145
Date Issued
2010
Author(s)
Abstract
Understanding the landcover pattern in a region is essential for landuse planning and resources management. In this study ALOS multispectral images were used to compare landcover patterns in three study areas, namely Tokyo, Kyoto, and Taipei, of different degrees of urbanization. From the results of landuse/landcover classification, Shannon diversity index at cell level was used for landcover pattern analysis. Existing landcover pattern of the three study areas were also compared by investigating cell distribution in a landcover coverage-ratio space. Both the landcover type richness and evenness are low in the Tokyo study area and built-up is the single dominant landcover type in almost all cells. In comparison, landcover patterns of the Kyoto and Taipei study areas are more diversified, with significant amount of cells having mixed and non-dominant landcover types. Kyoto is least urbanized and enjoys a good mixture of different landcover types. It was found that cell-average NDVI alone can be used for delineating areas of certain dominant landcover types. Implementation of such method does not require an a priori LULC classification, and thus is particularly useful when good training data for LULC classification are not available. An urbanization index which integrates the coverage ratio of built-up landcover type and the cell-average NDVI was proposed and used to explore the spatial variation of degree of urbanization. Area-average urbanization indices of the Tokyo, Kyoto, and Taipei study areas were calculated to be 0.91, 0.55, and 0.72, respectively. Such results are consistent with the results of qualitative evaluation using different landscape metrics. © 2010 Elsevier B.V.
Subjects
Landcover pattern; NDVI; Remote sensing; Shannon diversity index; Urbanization index
SDGs
Other Subjects
Apriori; Cell distribution; Cell levels; Classification ,; Coverage ratio; Land cover; Land-cover types; Land-use planning; Landcover pattern; Landscape metrics; Multispectral images; Pattern analysis; Qualitative evaluations; Resources management; Shannon diversity; Spatial variations; Study areas; Training data; Planning; Quality control; Remote sensing; Space optics; Landforms; ALOS; diversity index; land cover; land use planning; multispectral image; NDVI; remote sensing; resource management; spatial variation; urbanization; Honshu; Japan; Kanto; Kinki; Kyoto; Taipei; Taiwan; Tokyo [Kanto]; Tokyo [Tokyo (PRF)]
Type
journal article