Name
Abstract | ||
|---|---|---|
Urban areas are of paramount significance to both the individuals and communities at local and regional scales. However, the rapid growth of urban areas exerts effects on climate, biodiversity, hydrology, and natural ecosystems worldwide. Therefore, regular and up-to-date information related to urban extent is necessary to monitor the impacts of urban areas at local, regional, and potentially global scales. This study presents a new urban map of Eurasia at 500 m resolution using multi-source geospatial data, including Moderate Resolution Imaging Spectroradiometer (MODIS) data of 2013, population density of 2012, the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime lights of 2012, and constructed Impervious Surface Area (ISA) data of 2010. The Eurasian urban map was created using the threshold method for these data, combined with references of fine resolution Landsat and Google Earth imagery. The resultant map was compared with nine global urban maps and was validated using random sampling method. Results of the accuracy assessment showed high overall accuracy of the new urban map of 94%. This urban map is one product of the 20 land cover classes of the next version of Global Land Cover by National Mapping Organizations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1080/10095020.2017.1288418 | GEO-SPATIAL INFORMATION SCIENCE |
Keywords | Field | DocType |
Urban area mapping,population density,MODIS,data integration,accuracy assessment,Eurasia | Data integration,Geospatial analysis,Biodiversity,Impervious surface,Moderate-resolution imaging spectroradiometer,Fine resolution,Remote sensing,Multi-source,Mathematics,Cartography,Defense Meteorological Satellite Program | Journal |
Volume | Issue | ISSN |
20.0 | 1 | 1009-5020 |
Citations | PageRank | References |
2 | 0.36 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bayan Alsaaideh | 1 | 11 | 2.74 |
| Ryutaro Tateishi | 2 | 78 | 13.21 |
| Dong Xuan Phong | 3 | 2 | 0.36 |
| Hoan Nguyen Thanh | 4 | 17 | 2.71 |
| A. Al Hanbali | 5 | 60 | 3.63 |
| Bai Xiulian | 6 | 2 | 0.36 |