Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells

Hasi Bagan, Yoshiki Yamagata

研究成果: Article査読

65 被引用数 (Scopus)


Global urban expansion has created incentives to convert green spaces to urban/built-up area. Therefore, understanding the distribution and dynamics of the land-cover changes in cities is essential for better understanding of the cities' fundamental characteristics and processes, and of the impact of changing land-cover on potential carbon storage. We present a grid square approach using multi-temporal Landsat data from around 1985-2010 to monitor the spatio-temporal land-cover dynamics of 50 global cities. The maximum-likelihood classification method is applied to Landsat data to define the cities' urbanized areas at different points in time. Subsequently, 1 km2 grid squares with unique cell IDs are designed to link among land-cover maps for spatio-temporal land-cover change analysis. Then, we calculate land-cover category proportions for each map in 1 km2 grid cells. Statistical comparison of the land-cover changes in grid square cells shows that urban area expansion in 50 global cities was strongly negatively correlated with forest, cropland and grassland changes. The generated land-cover proportions in 1 km2 grid cells and the spatial relationships between the changes of land-cover classes are critical for understanding past patterns and the consequences of urban development so as to inform future urban planning, risk management and conservation strategies.

ジャーナルEnvironmental Research Letters
出版ステータスPublished - 2014 6 1

ASJC Scopus subject areas

  • 再生可能エネルギー、持続可能性、環境
  • 環境科学(全般)
  • 公衆衛生学、環境および労働衛生


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