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

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

doi:https://doi.org/10.5194/essd-11-881-2019

Articles | Volume 11, issue 2

https://doi.org/10.5194/essd-11-881-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-11-881-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 2

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

Supplement

https://doi.org/10.5194/essd-11-881-2019-supplement

Data sets

A dataset of 30-meter annual vegetation phenology indicators (1985-2015) in urban areas of the conterminous United States X. Li, Y. Zhou, L. Meng, G. Asrar, C. Lu, and Q. Wu https://doi.org/10.6084/m9.figshare.7685645.v5

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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).