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Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, Remote Sens. 2018, 10, 122.

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Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, Remote Sens. 2018, 10, 122., , , , , and . Remote Sensing, 11 (8): 939 (2019)Fusion of Landsat 8 OLI and Sentinel-2 MSI Data., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (7): 3885-3899 (2017)A Radiometric Block Adjustment Method for Unmanned Aerial Vehicle Images Considering the Image Vignetting., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Spatiotemporal variation in the terrestrial vegetation phenology of Iraq and its relation with elevation., , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA., and . Ecol. Informatics, 2 (2): 89-93 (2007)Relationship between herbicide concentration during the 1960s and 1970s and the contemporary MERIS Terrestrial Chlorophyll Index (MTCI) for southern Vietnam., and . Int. J. Geogr. Inf. Sci., 20 (8): 929-939 (2006)Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data., , and . Remote Sensing, 7 (7): 9390-9409 (2015)Potential of Automated Digital Hemispherical Photography and Wireless Quantum Sensors for Routine Canopy Monitoring and Satellite Product Validation., , , , , , , , , and 5 other author(s). IGARSS, page 53-56. IEEE, (2021)Evaluation of Envisat MERIS Terrestrial Chlorophyll Index-Based Models for the Estimation of Terrestrial Gross Primary Productivity., , , , , and . IEEE Geosci. Remote. Sens. Lett., 9 (3): 457-461 (2012)Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories., , , , , and . Remote. Sens., 10 (1): 122 (2018)