Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells
Bibliographic Data
| ID | 15547613 |
|---|---|
| Authors | Hasi Bagan (0000-0002-0471-7135, National Institute for Environmental Studies, corresponding author), Yoshiki Yamagata (0000-0001-5111-8912, National Institute for Environmental Studies) |
| Year | 2014 |
| Volume | 9 |
| Issue | 6 |
| Pages | 064015-064015 |
| Publication date | 2014-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/9/6/064015 |
| OpenAlex | W1984110224 |
| Language | EN |
| Citations received | 16 |
| References cited | 29 |
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 km ^2 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 km ^2 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 km ^2 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
Cover (algebra · Environmental resource management · Geography · Grassland · Grid · Grid cell · Land cover · Land use · Land use, land-use change and forestry · Physical geography · Remote sensing · Urban area · Environmental Science · Land Use and Ecosystem Services · Urban Green Space and Health · Urban Heat Island Mitigation · Ecology
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| Unique citing works | 16 |
|---|---|
| Citations per year | 1,45 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |