Articles | Volume 11, issue 2
Earth Syst. Sci. Data, 11, 881–894, 2019
https://doi.org/10.5194/essd-11-881-2019
Earth Syst. Sci. Data, 11, 881–894, 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 et al.

Related authors

A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States
Xuecao Li, Yuyu Zhou, Zhengyuan Zhu, and Wenting Cao
Earth Syst. Sci. Data, 12, 357–371, https://doi.org/10.5194/essd-12-357-2020,https://doi.org/10.5194/essd-12-357-2020, 2020
Short summary

Related subject area

Data, Algorithms, and Models
A 1 km global cropland dataset from 10 000 BCE to 2100 CE
Bowen Cao, Le Yu, Xuecao Li, Min Chen, Xia Li, Pengyu Hao, and Peng Gong
Earth Syst. Sci. Data, 13, 5403–5421, https://doi.org/10.5194/essd-13-5403-2021,https://doi.org/10.5194/essd-13-5403-2021, 2021
Short summary
A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables
Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu
Earth Syst. Sci. Data, 13, 5087–5114, https://doi.org/10.5194/essd-13-5087-2021,https://doi.org/10.5194/essd-13-5087-2021, 2021
Short summary
SeaFlux: harmonization of air–sea CO2 fluxes from surface pCO2 data products using a standardized approach
Amanda R. Fay, Luke Gregor, Peter Landschützer, Galen A. McKinley, Nicolas Gruber, Marion Gehlen, Yosuke Iida, Goulven G. Laruelle, Christian Rödenbeck, Alizée Roobaert, and Jiye Zeng
Earth Syst. Sci. Data, 13, 4693–4710, https://doi.org/10.5194/essd-13-4693-2021,https://doi.org/10.5194/essd-13-4693-2021, 2021
Short summary
Nitrogen deposition in the UK at 1 km resolution from 1990 to 2017
Samuel J. Tomlinson, Edward J. Carnell, Anthony J. Dore, and Ulrike Dragosits
Earth Syst. Sci. Data, 13, 4677–4692, https://doi.org/10.5194/essd-13-4677-2021,https://doi.org/10.5194/essd-13-4677-2021, 2021
Short summary
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Joaquín Muñoz-Sabater, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego G. Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut
Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021,https://doi.org/10.5194/essd-13-4349-2021, 2021
Short summary

Cited articles

Aas, K., Aberg, N., Bachert, C., Bergmann, K., Bergmann, R., and Bonini, S.: Allergic disease as a public health problem in Europe, European allergy white paper, Brussel: UCB Insitute of Allergy, 1–46, 1997. 
Alberti, M., Correa, C., Marzluff, J. M., Hendry, A. P., Palkovacs, E. P., Gotanda, K. M., Hunt, V. M., Apgar, T. M., and Zhou, Y.: Global urban signatures of phenotypic change in animal and plant populations, P. Natl. Acad. Sci. USA, 114, 8951–8956, https://doi.org/10.1073/pnas.1606034114, 2017. 
Anenberg, S. C., Weinberger, K. R., Roman, H., Neumann, J. E., Crimmins, A., Fann, N., Martinich, J., and Kinney, P. L.: Impacts of oak pollen on allergic asthma in the United States and potential influence of future climate change, GeoHealth, 1, 80–92, 2017. 
Carrão, H., Gonçalves, P., and Caetano, M.: A nonlinear harmonic model for fitting satellite image time series: Analysis and prediction of land cover dynamics, IEEE Trans. Geosci. Remote Sens., 48, 1919–1930, 2010. 
Cong, N., Piao, S., Chen, A., Wang, X., Lin, X., Chen, S., Han, S., Zhou, G., and Zhang, X.: Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis, Agr. Forest Meteorol., 165, 104–113, https://doi.org/10.1016/j.agrformet.2012.06.009, 2012. 
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).