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Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network.

, , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)

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Validating GCOM-C Terrestrial Ecology Products: How Should In-Situ Observation Be Performed at Satellite Scale?, , , , , , , , , and 4 other author(s). IGARSS, page 9196-9199. IEEE, (2019)Evaluating land surface phenology from the Advanced Himawari Imager using observations from MODIS and the Phenological Eyes Network., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)The variability and seasonality in the ratio of photosynthetically active radiation to solar radiation: A simple empirical model of the ratio., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Challenges in Improving the Reliability of Various Radiation Parameters at a Japanese Satellite Observation Validation Site., , , and . IGARSS, page 4314-4315. IEEE, (2022)Accuracy Assessment of Photochemical Reflectance Index (PRI) and Chlorophyll Carotenoid Index (CCI) Derived from GCOM-C/SGLI with In Situ Data., , , , , , and . Remote. Sens., 14 (21): 5352 (2022)A cost-effective monitoring method using digital time-lapse cameras for detecting temporal and spatial variations of snowmelt and vegetation phenology in alpine ecosystems., and . Ecol. Informatics, (2013)Use of digital cameras for phenological observations., and . Ecol. Informatics, 5 (5): 339-347 (2010)