Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 197–214, 2020
https://doi.org/10.5194/essd-12-197-2020
Earth Syst. Sci. Data, 12, 197–214, 2020
https://doi.org/10.5194/essd-12-197-2020

Data description paper 31 Jan 2020

Data description paper | 31 Jan 2020

ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products

Yuchuan Luo et al.

Viewed

Total article views: 10,509 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
9,731 744 34 10,509 193 43 60
  • HTML: 9,731
  • PDF: 744
  • XML: 34
  • Total: 10,509
  • Supplement: 193
  • BibTeX: 43
  • EndNote: 60
Views and downloads (calculated since 21 Aug 2019)
Cumulative views and downloads (calculated since 21 Aug 2019)

Viewed (geographical distribution)

Total article views: 8,032 (including HTML, PDF, and XML) Thereof 7,917 with geography defined and 115 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Jun 2021
Download
Short summary
For the first time, we generated a 1 km gridded-phenology product for three staple crops in China during 2000–2015, called ChinaCropPhen1km. Compared with the phenological observations from the agricultural meteorological stations, the dataset had high accuracy, with errors of retrieved phenological date of less than 10 d. The well-validated dataset is sufficiently reliable for many applications, including improving the agricultural-system or earth-system modeling over a large area.