Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weather events.

MLA

Qiu, Tong, et al. “Understanding the Continuous Phenological Development at Daily Time Step with a Bayesian Hierarchical Space-Time Model: Impacts of Climate Change and Extreme Weather Events.” Remote Sensing of Environment, vol. 247, Sept. 2020, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.rse.2020.111956.

APA

Qiu, T., Song, C., Clark, J. S., Seyednasrollah, B., Rathnayaka, N., & Li, J. (2020). Understanding the continuous phenological development at daily time step with a Bayesian hierarchical space-time model: impacts of climate change and extreme weather events. Remote Sensing of Environment, 247, N.PAG. https://doi.org/10.1016/j.rse.2020.111956

Chicago

Qiu, Tong, Conghe Song, James S. Clark, Bijan Seyednasrollah, Nuvan Rathnayaka, and Junxiang Li. 2020. “Understanding the Continuous Phenological Development at Daily Time Step with a Bayesian Hierarchical Space-Time Model: Impacts of Climate Change and Extreme Weather Events.” Remote Sensing of Environment 247 (September): N.PAG. doi:10.1016/j.rse.2020.111956.