Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

IF value: 9.197
IF9.197
IF 5-year value: 9.612
IF 5-year
9.612
CiteScore value: 12.5
CiteScore
12.5
SNIP value: 3.137
SNIP3.137
IPP value: 9.49
IPP9.49
SJR value: 4.532
SJR4.532
Scimago H <br class='widget-line-break'>index value: 48
Scimago H
index
48
h5-index value: 35
h5-index35
Preprints
https://doi.org/10.5194/essd-2019-65
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-65
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Jul 2019

25 Jul 2019

Review status
This preprint was under review for the journal ESSD but the revision was not accepted.

A 30-meter resolution national urban land-cover dataset of China, 2000–2015

Wenhui Kuang1, Shu Zhang1,2, Xiaoyong Li1,2, and Dengsheng Lu3 Wenhui Kuang et al.
  • 1Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China
  • 3College of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China

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.

Wenhui Kuang et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Wenhui Kuang et al.

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

Wenhui Kuang et al.

Viewed

Total article views: 1,395 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,156 199 40 1,395 40 49
  • HTML: 1,156
  • PDF: 199
  • XML: 40
  • Total: 1,395
  • BibTeX: 40
  • EndNote: 49
Views and downloads (calculated since 25 Jul 2019)
Cumulative views and downloads (calculated since 25 Jul 2019)

Viewed (geographical distribution)

Total article views: 1,175 (including HTML, PDF, and XML) Thereof 1,163 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 21 Sep 2020
Download
Short summary
Urban land use/cover dynamics datasets play a vital role in urban planning and management. However, a series of national urban land-cover data covering more than 15 years is relatively rare. Here we developed a new data subset called CLUD-Urban from 2000 to 2015 at five-year intervals with a 30 m resolution. The total urban area of China was 62800 km2 in 2015, with average fractions of 70.70 % and 26.54 % for ISA and UGS, respectively. CLUD-Urban will be useful in urban environment.
Urban land use/cover dynamics datasets play a vital role in urban planning and management....
Citation