Articles | Volume 18, issue 13
https://doi.org/10.5194/bg-18-4117-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-4117-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Reviews and syntheses
| 
12 Jul 2021
Reviews and syntheses |
| 12 Jul 2021
| 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
Nelson Institute for Environmental Studies, University of Wisconsin – Madison, Madison, WI, USA
Paul C. Stoy
Nelson Institute for Environmental Studies, University of Wisconsin – Madison, Madison, WI, USA
Department of Biological Systems Engineering, University of Wisconsin – Madison, Madison, WI, USA
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin – Madison, Madison, WI, USA
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, USA
James T. Douglas
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, USA
Martha Anderson
Hydrology and Remote Sensing Laboratory, ARS USDA, Beltsville, MD, USA
George Diak
Space Sciences and Engineering Center, University of Wisconsin –
Madison, Madison, WI, USA
Jason A. Otkin
Space Sciences and Engineering Center, University of Wisconsin –
Madison, Madison, WI, USA
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin – Madison, Madison, WI, USA
Christopher Hain
Short-term Prediction Research and Transition Center, NASA Marshall
Space Flight Center, Earth Science Branch, Huntsville, AL, USA
Elizabeth M. Rehbein
Department of Electrical and Computer Engineering, Montana State
University, Bozeman, MT, USA
Joel McCorkel
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
18 citations as recorded by crossref.
- Detection of vegetation drying signals using diurnal variation of land surface temperature: Application to the 2018 East Asia heatwave Y. Yamamoto et al. 10.1016/j.rse.2023.113572
- Multi‐Sensor Approach for High Space and Time Resolution Land Surface Temperature A. Desai et al. 10.1029/2021EA001842
- New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave X. Li et al. 10.1126/sciadv.adi0775
- Intraseasonal interactive effects of successive typhoons characterize canopy damage of forests in Taiwan: A remote sensing-based assessment J. Peereman et al. 10.1016/j.foreco.2022.120430
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Characteristics and time-series monitoring by GOES-17 of volcano flume on 15 January 2022 from Tonga submarine volcanic eruption K. Nam et al. 10.1186/s40677-023-00232-x
- Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J. Kong et al. 10.1016/j.agrformet.2022.108878
- Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton 10.3390/s24113488
- Detecting forest response to droughts with global observations of vegetation water content A. Konings et al. 10.1111/gcb.15872
- Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS Y. Shen et al. 10.1016/j.rse.2023.113972
- Análise sinótica e termodinâmica dos complexos convectivos de mesoescala no nordeste brasileiro em 2017 M. Arruda Lyra et al. 10.26848/rbgf.v17.4.p2190-2203
- The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring P. Stoy et al. 10.1371/journal.pone.0265243
- Sub-daily live fuel moisture content estimation from Himawari-8 data X. Quan et al. 10.1016/j.rse.2024.114170
- GOES-R land surface products at Western Hemisphere eddy covariance tower locations D. Losos et al. 10.1038/s41597-024-03071-z
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
- The Diurnal Dynamics of Gross Primary Productivity Using Observations From the Advanced Baseline Imager on the Geostationary Operational Environmental Satellite‐R Series at an Oak Savanna Ecosystem A. Khan et al. 10.1029/2021JG006701
- A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies S. Gao et al. 10.1016/j.rse.2024.114407
- Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
18 citations as recorded by crossref.
- Detection of vegetation drying signals using diurnal variation of land surface temperature: Application to the 2018 East Asia heatwave Y. Yamamoto et al. 10.1016/j.rse.2023.113572
- Multi‐Sensor Approach for High Space and Time Resolution Land Surface Temperature A. Desai et al. 10.1029/2021EA001842
- New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during 2020 western U.S. heatwave X. Li et al. 10.1126/sciadv.adi0775
- Intraseasonal interactive effects of successive typhoons characterize canopy damage of forests in Taiwan: A remote sensing-based assessment J. Peereman et al. 10.1016/j.foreco.2022.120430
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- Characteristics and time-series monitoring by GOES-17 of volcano flume on 15 January 2022 from Tonga submarine volcanic eruption K. Nam et al. 10.1186/s40677-023-00232-x
- Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J. Kong et al. 10.1016/j.agrformet.2022.108878
- Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton 10.3390/s24113488
- Detecting forest response to droughts with global observations of vegetation water content A. Konings et al. 10.1111/gcb.15872
- Analyzing GOES-R ABI BRDF-adjusted EVI2 time series by comparing with VIIRS observations over the CONUS Y. Shen et al. 10.1016/j.rse.2023.113972
- Análise sinótica e termodinâmica dos complexos convectivos de mesoescala no nordeste brasileiro em 2017 M. Arruda Lyra et al. 10.26848/rbgf.v17.4.p2190-2203
- The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring P. Stoy et al. 10.1371/journal.pone.0265243
- Sub-daily live fuel moisture content estimation from Himawari-8 data X. Quan et al. 10.1016/j.rse.2024.114170
- GOES-R land surface products at Western Hemisphere eddy covariance tower locations D. Losos et al. 10.1038/s41597-024-03071-z
- A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
- The Diurnal Dynamics of Gross Primary Productivity Using Observations From the Advanced Baseline Imager on the Geostationary Operational Environmental Satellite‐R Series at an Oak Savanna Ecosystem A. Khan et al. 10.1029/2021JG006701
- A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies S. Gao et al. 10.1016/j.rse.2024.114407
- Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. 10.1016/j.rse.2022.113365
Latest update: 18 Nov 2024
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.
Remote sensing has played an important role in the study of land surface processes....
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