John Ralph Miller
Affiliations: | Earth and Space Science and Engineering | York University, Toronto, Ontario, Canada |
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Publications
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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 |