Articles | Volume 11, issue 2
https://doi.org/10.5194/essd-11-881-2019
https://doi.org/10.5194/essd-11-881-2019
Data description paper
 | 
21 Jun 2019
Data description paper |  | 21 Jun 2019

A dataset of 30 m annual vegetation phenology indicators (1985–2015) in urban areas of the conterminous United States

Xuecao Li, Yuyu Zhou, Lin Meng, Ghassem R. Asrar, Chaoqun Lu, and Qiusheng Wu

Viewed

Total article views: 6,936 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,207 1,635 94 6,936 783 92 106
  • HTML: 5,207
  • PDF: 1,635
  • XML: 94
  • Total: 6,936
  • Supplement: 783
  • BibTeX: 92
  • EndNote: 106
Views and downloads (calculated since 14 Feb 2019)
Cumulative views and downloads (calculated since 14 Feb 2019)

Viewed (geographical distribution)

Total article views: 6,936 (including HTML, PDF, and XML) Thereof 5,854 with geography defined and 1,082 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 2024
Download
Short summary
We generated a long-term (1985–2015) and medium-resolution (30 m) product of phenology indicators in urban domains in the conterminous US using Landsat satellite observations. The derived phenology indicators agree well with in situ observations and provide more spatial details in complex urban areas compared to the existing coarse resolution phenology products (e.g., MODIS). The published data are of great use for urban phenology studies (e.g., pollen-induced respiratory allergies).
Altmetrics
Final-revised paper
Preprint