Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-709-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-709-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
15 Feb 2017
Development and technical paper |
| 15 Feb 2017
Spatio-temporal approach to moving window block kriging of satellite data v1.0
Department of Global Ecology, Carnegie Institution for Science,
Stanford, CA 94305, USA
Xuemei Qiu
Department of Global Ecology, Carnegie Institution for Science,
Stanford, CA 94305, USA
Scot Miller
Department of Global Ecology, Carnegie Institution for Science,
Stanford, CA 94305, USA
Anna M. Michalak
Department of Global Ecology, Carnegie Institution for Science,
Stanford, CA 94305, USA
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Latest update: 24 Apr 2025
Short summary
We developed a new method to create contiguous maps from sparse and/or noisy satellite observations. This approach could be used to produce retroactive or real-time estimates of environmental data observed by satellites which exhibit spatio-temporal autocorrelations. The method could be applied in a standalone mode or as part of a broader satellite data processing package. Maps produced in this way could then be incorporated into physical and biogeochemical models of the Earth system.
We developed a new method to create contiguous maps from sparse and/or noisy satellite...
