15 citations as recorded by crossref.

1. Toward More Integrated Utilizations of Geostationary Satellite Data for Disaster Management and Risk Mitigation A. Higuchi 10.3390/rs13081553
2. 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
3. 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
4. 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
5. 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
6. Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data M. Li et al. 10.3390/rs14164027
7. GOES-R land surface products at Western Hemisphere eddy covariance tower locations D. Losos et al. 10.1038/s41597-024-03071-z
8. 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
9. 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
10. 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
11. 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
12. 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
13. Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
14. Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
15. Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology J. Lu et al. 10.3390/rs16122173