Remote Sensing

Journal

TitleRemote Sensing
ISSN2072-4292
PublisherMDPI

Outputs

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Trends of Aboveground Net Primary Productivity of Patagonian Meadows, the Omitted Ecosystem in Desertification Studies

A - Papers appearing in refereed journals
Curcio, M., Irisarri, G., Martinez, G. G. and Oesterheld, M. 2023. Trends of Aboveground Net Primary Productivity of Patagonian Meadows, the Omitted Ecosystem in Desertification Studies. Remote Sensing. 15 (10), p. 2531. https://doi.org/10.3390/rs15102531

A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery

A - Papers appearing in refereed journals
Fraccaro, P., Butt, J., Edwards, B., Freckleton, R. P., Childs, D. Z., Reusch, K. and Comont, D. 2022. A Deep Learning Application to Map Weed Spatial Extent from Unmanned Aerial Vehicles Imagery. Remote Sensing. 14 (17), p. 4197. https://doi.org/10.3390/rs14174197

Remotely Sensed Spatiotemporal Variation in Crude Protein of Shortgrass Steppe Forage

A - Papers appearing in refereed journals
Irisarri, G., Durante, M., Derner, J. D., Oesterheld, M. and Augustine, D. J. 2022. Remotely Sensed Spatiotemporal Variation in Crude Protein of Shortgrass Steppe Forage. Remote Sensing. 14 (4), p. 854. https://doi.org/10.3390/rs14040854

A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery

A - Papers appearing in refereed journals
Sadeghi-Tehran, P., Virlet, N. and Hawkesford, M. J. 2021. A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery. Remote Sensing. 13 (5), p. 898. https://doi.org/10.3390/rs13050898

Radiometric calibration of ‘Commercial off the shelf’ cameras for UAV-based high-resolution temporal phenotyping of reflectance and NDVI

A - Papers appearing in refereed journals
Holman, F. H., Riche, A. B., Castle, M., Wooster, M. J. and Hawkesford, M. J. 2019. Radiometric calibration of ‘Commercial off the shelf’ cameras for UAV-based high-resolution temporal phenotyping of reflectance and NDVI. Remote Sensing. 11 (14), p. 1657. https://doi.org/10.3390/rs11141657

Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery

A - Papers appearing in refereed journals
Khan, Z., Chopin, J., Cai, J., Rahimi-Fichi, V., Laga, H., Haefele, S. M. and Miklavcic, S. J. 2018. Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery. Remote Sensing. 10 (6), p. 950. https://doi.org/10.3390/rs10060950

High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing

A - Papers appearing in refereed journals
Holman, F. H., Riche, A. B., Michalski, A., Castle, M., Wooster, M. J. and Hawkesford, M. J. 2016. High throughput field phenotyping of wheat plant height and growth rate in field plot trials using UAV based remote sensing. Remote Sensing. 8 (12), p. 1031. https://doi.org/10.3390/rs8121031

Spatial prediction of coastal bathymetry based on multispectral satellite imagery and multibeam data

A - Papers appearing in refereed journals
Monteys, X., Harris, P., Caloca, S. and Cahalane, C. 2015. Spatial prediction of coastal bathymetry based on multispectral satellite imagery and multibeam data. Remote Sensing. 7 (10), pp. 13782-13806. https://doi.org/10.3390/rs71013782