Articles | Volume 18, issue 6
https://doi.org/10.5194/bg-18-1971-2021
© 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-18-1971-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2021
Research article |
| 19 Mar 2021
| 19 Mar 2021
Improving the monitoring of deciduous broadleaf phenology using the Geostationary Operational Environmental Satellite (GOES) 16 and 17
Department of Earth and Environment, Boston University, Boston, MA,
02215, USA
Michael C. Dietze
Department of Earth and Environment, Boston University, Boston, MA,
02215, USA
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Cited
16 citations as recorded by crossref.
- Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation A. Higuchi 10.3390/rs13081553
- Plugging the Gaps in the Global PhenoCam Monitoring of Forests—The Need for a PhenoCam Network across Indian Forests K. Jose et al. 10.3390/rs15245642
- Using Multi-Temporal Satellite Data to Analyse Phenological Responses of Rubber (Hevea brasiliensis) to Climatic Variations in South Sumatra, Indonesia F. Azizan et al. 10.3390/rs13152932
- PhenoCam: An evolving, open-source tool to study the temporal and spatial variability of ecosystem-scale phenology A. Richardson 10.1016/j.agrformet.2023.109751
- Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations Y. Shen et al. 10.1016/j.rse.2023.113729
- Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data M. Li et al. 10.3390/rs14164027
- GOES-R land surface products at Western Hemisphere eddy covariance tower locations D. Losos et al. 10.1038/s41597-024-03071-z
- Evaluating the potential of H8/AHI geostationary observations for monitoring vegetation phenology over different ecosystem types in northern China Y. Zhao et al. 10.1016/j.jag.2022.102933
- Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites A. Khan et al. 10.5194/bg-18-4117-2021
- 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
- Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology Y. Shen et al. 10.3390/rs13214465
- 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
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Rapid changes in terrestrial carbon dioxide uptake captured in near-real time from a geostationary satellite: The ALIVE framework D. Losos et al. 10.1016/j.rse.2025.114759
- Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
- Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology J. Lu et al. 10.3390/rs16122173
16 citations as recorded by crossref.
- Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation A. Higuchi 10.3390/rs13081553
- Plugging the Gaps in the Global PhenoCam Monitoring of Forests—The Need for a PhenoCam Network across Indian Forests K. Jose et al. 10.3390/rs15245642
- Using Multi-Temporal Satellite Data to Analyse Phenological Responses of Rubber (Hevea brasiliensis) to Climatic Variations in South Sumatra, Indonesia F. Azizan et al. 10.3390/rs13152932
- PhenoCam: An evolving, open-source tool to study the temporal and spatial variability of ecosystem-scale phenology A. Richardson 10.1016/j.agrformet.2023.109751
- Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations Y. Shen et al. 10.1016/j.rse.2023.113729
- Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data M. Li et al. 10.3390/rs14164027
- GOES-R land surface products at Western Hemisphere eddy covariance tower locations D. Losos et al. 10.1038/s41597-024-03071-z
- Evaluating the potential of H8/AHI geostationary observations for monitoring vegetation phenology over different ecosystem types in northern China Y. Zhao et al. 10.1016/j.jag.2022.102933
- Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites A. Khan et al. 10.5194/bg-18-4117-2021
- 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
- Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology Y. Shen et al. 10.3390/rs13214465
- 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
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Rapid changes in terrestrial carbon dioxide uptake captured in near-real time from a geostationary satellite: The ALIVE framework D. Losos et al. 10.1016/j.rse.2025.114759
- Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
- Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology J. Lu et al. 10.3390/rs16122173
Latest update: 09 May 2025
Short summary
Monitoring leaf phenology (i.e., seasonality) allows for tracking the progression of climate change and seasonal variations in a variety of organismal and ecosystem processes. Recent versions of the Geostationary Operational Environmental Satellites allow for the monitoring of a phenological-sensitive index at a high temporal frequency (5–10 min) throughout most of the western hemisphere. Here we show the high potential of these new data to measure the phenology of deciduous forests.
Monitoring leaf phenology (i.e., seasonality) allows for tracking the progression of climate...
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