the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 30-meter resolution national urban land-cover dataset of China, 2000–2015
Abstract. Accurate urban land-cover datasets are essential for mapping urban environments. However, a series of national urban land-cover data covering more than 15 years that characterizes urban environments is relatively rare. Here we propose a hierarchical principle on remotely sensed urban land-use/cover classification for mapping intra-urban structure/component dynamics. China's Land Use/cover Dataset (CLUD) is updated, delineating the imperviousness, green surface, waterbody and bare land conditions in cities. A new data subset called CLUD-Urban is created from 2000 to 2015 at five-year intervals with a medium spatial resolution (30 m). The first step is a prerequisite to extract the vector boundaries covered with urban areas from CLUD. A new method is then proposed using logistic regression between urban impervious surface area (ISA) and the annual maximum Normalized Difference Vegetation Index (NDVI) value retrieved from Landsat images based on a big-data platform with Google Earth Engine. National ISA and urban green space (UGS) fraction datasets for China are generated at 30-meter resolution with five-year intervals from 2000 to 2015. The overall classification accuracy of national urban areas is 92 %. The root mean square error values of ISA and UGS fractions are 0.10 and 0.14, respectively. The datasets indicate that the total urban area of China was 6.28 × 104 km2 in 2015, with average fractions of 70.70 % and 26.54 % for ISA and UGS, respectively. The ISA and UGS increased between 2000 and 2015 with unprecedented annual rates of 1,311.13 km2/yr and 405.30 km2/yr, respectively. CLUD-Urban can be used to enhance our understanding of urbanization impacts on ecological and regional climatic conditions and urban dwellers' environments. CLUD-Urban can be applied in future researches on urban environmental research and practices in the future. The datasets can be downloaded from https://doi.org/10.5281/zenodo.2644932.>
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SC1: 'urban climate', Rafiq Hamdi, 12 Sep 2019
- AC1: 'Response to Comment from Rafiq Hamdi', Wenhui Kuang, 08 Nov 2019
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RC1: 'Some comments on the manuscript and the dataset', Anonymous Referee #1, 13 Sep 2019
- AC2: 'Response to Anonymous Referee #1’s Comments', Wenhui Kuang, 08 Nov 2019
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RC2: 'Comments for the manuscript on urban land cover mapping', Anonymous Referee #2, 04 Oct 2019
- AC3: 'Response to Anonymous Referee #2’s Comments', Wenhui Kuang, 08 Nov 2019
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RC3: 'Questions to authors', Anonymous Referee #3, 10 Oct 2019
- AC4: 'Response to Anonymous Referee #3’s Comments', Wenhui Kuang, 08 Nov 2019
-
SC1: 'urban climate', Rafiq Hamdi, 12 Sep 2019
- AC1: 'Response to Comment from Rafiq Hamdi', Wenhui Kuang, 08 Nov 2019
-
RC1: 'Some comments on the manuscript and the dataset', Anonymous Referee #1, 13 Sep 2019
- AC2: 'Response to Anonymous Referee #1’s Comments', Wenhui Kuang, 08 Nov 2019
-
RC2: 'Comments for the manuscript on urban land cover mapping', Anonymous Referee #2, 04 Oct 2019
- AC3: 'Response to Anonymous Referee #2’s Comments', Wenhui Kuang, 08 Nov 2019
-
RC3: 'Questions to authors', Anonymous Referee #3, 10 Oct 2019
- AC4: 'Response to Anonymous Referee #3’s Comments', Wenhui Kuang, 08 Nov 2019
Data sets
A national urban land use/cover change dataset (CLUD-Urban) in China, 2000-2015 W. Kuang, S. Zhang, X. Li, and D. Lu https://doi.org/10.5281/zenodo.2644932
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Cited
3 citations as recorded by crossref.
- Comparison of surface radiation and turbulent heat fluxes in Olympic Forest Park and on a building roof in Beijing, China W. Kuang et al. 10.1016/j.uclim.2019.100562
- Carbon Sequestration and Landscape Influences in Urban Greenspace Coverage Variability: A High-Resolution Remote Sensing Study in Luohe, China J. Huang et al. 10.3390/f15111849
- Dynamic Changes of Local Climate Zones in the Guangdong–Hong Kong–Macao Greater Bay Area and Their Spatio-Temporal Impacts on the Surface Urban Heat Island Effect between 2005 and 2015 Y. Lu et al. 10.3390/su13116374