Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers

Sandford, Macey W.; Thompson, David R.; Green, Robert O.; Kahn, Brian H.; Vitulli, Raffaele; Chien, Steve; Yelamanchili, Amruta; Olson-Duvall, Winston

doi:https://doi.org/10.5194/amt-13-7047-2020

Articles | Volume 13, issue 12

https://doi.org/10.5194/amt-13-7047-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-7047-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 12

Research article

|

22 Dec 2020

Research article |

| 22 Dec 2020

Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers

Macey W. Sandford, David R. Thompson, Robert O. Green, Brian H. Kahn, Raffaele Vitulli, Steve Chien, Amruta Yelamanchili, and Winston Olson-Duvall

Data sets

10- to 30-meter multispectral and hyperspectral data from the Earth Observing-1 (EO-1) Extended Mission (2000 to 2017) Earth Resources Observation and Science (EROS) Center https://doi.org/10.5066/P9JXHMO2

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We demonstrate an onboard cloud-screening approach to significantly reduce the amount of cloud-contaminated data transmitted from orbit. We have produced location-specific models that improve performance by taking into account the unique cloud statistics in different latitudes. We have shown that screening clouds based on their location or surface type will improve the ability for a cloud-screening tool to improve the volume of usable science data.