John Ralph Miller

Earth and Space Science and Engineering York University, Toronto, Ontario, Canada 
"John Miller"
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Mohammed GH, Colombo R, Middleton EM, et al. (2019) Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sensing of Environment. 231
Ko C, Sohn G, Remmel TK, et al. (2014) Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data Remote Sensing. 6: 11225-11243
Narayanan R, Sohn G, Kim HB, et al. (2011) Soft classification of mixed seabed objects based on fuzzy clustering analysis using airborne LIDAR bathymetry data Journal of Applied Remote Sensing. 5: 53534-53534
Moorthy I, Miller JR, Berni JAJ, et al. (2011) Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data Agricultural and Forest Meteorology. 151: 204-214
Simic A, Chen JM, Freemantle JR, et al. (2010) Improving clumping and LAI algorithms based on multiangle airborne imagery and ground measurements Ieee Transactions On Geoscience and Remote Sensing. 48: 1742-1759
Pisek J, Chen JM, Miller JR, et al. (2010) Mapping forest background reflectance in a boreal region using multiangle compact airborne spectrographic imager data Ieee Transactions On Geoscience and Remote Sensing. 48: 499-510
Liu J, Pattey E, Miller JR, et al. (2010) Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model Remote Sensing of Environment. 114: 1167-1177
Fan W, Hu B, Miller J, et al. (2009) Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data Journal of Remote Sensing. 30: 2951-2962
Zarco-Tejada PJ, Berni JAJ, Suárez L, et al. (2009) Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection Remote Sensing of Environment. 113: 1262-1275
Hu B, Miller JR, Zarco-Tejada P, et al. (2008) Boreal Forest Mapping at the BOREAS Study Area Using Seasonal Optical Indices Sensitive to Plant Pigment Content Canadian Journal of Remote Sensing. 34
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