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Terrestrial Carbon Sinks for the United States Predicted from MODIS Satellite Data and Ecosystem Modeling

, , , and . Earth Interactions, (2007)

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Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina)., , and . Remote Sensing, 6 (6): 4723-4740 (2014)An Integrated Field and Remote Sensing Method for Mapping Seagrass Species, Cover, and Biomass in Southern Thailand., , , and . Remote Sensing, 8 (4): 292 (2016)Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites., , , , , , , , and . Remote. Sens., 12 (15): 2494 (2020)Spatio-Temporal Variation of the Urban Heat Island in Santiago, Chile during Summers 2005-2017., , , , , , , and . Remote. Sens., 12 (20): 3345 (2020)Mangrove Phenology and Water Influences Measured with Digital Repeat Photography., , , and . Remote. Sens., 13 (2): 307 (2021)Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China., , , , and . Remote. Sens., 10 (1): 134 (2018)Effects of Tropical Forest Degradation on Amazon Forest Phenology., , , , , and . IGARSS, page 4516-4519. IEEE, (2020)The Melbourne epidemic thunderstorm asthma event 2016: an investigation of environmental triggers, effect on health services, and patient risk factors, , , , , , , , , and 46 other author(s). The Lancet Planetary Health, 2 (6): e255--e263 (June 2018)An application of airborne hyperspectral and EO-1 Hyperion data for inter-sensor calibration of vegetation indices for regional-scale monitoring., , , and . IGARSS, page 3118-3120. IEEE, (2002)Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8., , , , , and . Remote. Sens., 12 (8): 1339 (2020)