Articles | Volume 18, issue 13
Biogeosciences, 18, 4117–4141, 2021
https://doi.org/10.5194/bg-18-4117-2021
Biogeosciences, 18, 4117–4141, 2021
https://doi.org/10.5194/bg-18-4117-2021

Reviews and syntheses 12 Jul 2021

Reviews and syntheses | 12 Jul 2021

Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites

Anam M. Khan et al.

Data sets

GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document for Cloud and Moisture Imagery Product (CMIP) T. Schmit, M. Gunshor, G. Fu, T. Rink, K. Bah, W. Zhang, and W. Wolf https://registry.opendata.aws/noaa-goes/

Algorithm Theoretical Basis Document ABI Cloud Mask, NOAA NESDIS Center for Satellite Applications and Research A. Heidinger and W. C. Straka https://github.com/anmikhan/envirogoes.git

MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V006 C. Schaaf and Z. Wang https://doi.org/10.5067/MODIS/MCD43A4.006

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Short summary
Remote sensing has played an important role in the study of land surface processes. Geostationary satellites, such as the GOES-R series, can observe the Earth every 5–15 min, providing us with more observations than widely used polar-orbiting satellites. Here, we outline current efforts utilizing geostationary observations in environmental science and look towards the future of GOES observations in the carbon cycle, ecosystem disturbance, and other areas of application in environmental science.
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