Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model
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Lewis-Beck, C.; Walker, V.A.; Niemi, J.; Caragea, P.; Hornbuckle, B.K. Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model. Remote Sens. 2020, 12, 827. https://doi.org/10.3390/rs12050827
Lewis-Beck C, Walker VA, Niemi J, Caragea P, Hornbuckle BK. Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model. Remote Sensing. 2020; 12(5):827. https://doi.org/10.3390/rs12050827
Chicago/Turabian StyleLewis-Beck, Colin, Victoria A. Walker, Jarad Niemi, Petruţa Caragea, and Brian K. Hornbuckle. 2020. "Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model" Remote Sensing 12, no. 5: 827. https://doi.org/10.3390/rs12050827