Document quand l'auteur est "McNairn, Heather"

Ghosh, Swarnendu Sekhar; Dey, Subhadip; Bhogapurapu, Narayanarao; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; Bhattacharya, Avik et McNairn, Heather (2022). Gaussian Process Regression Model for Crop Biophysical Parameter Retrieval from Multi-Polarized C-Band SAR Data. Remote Sensing , vol. 14 , nº 4. p. 934. DOI: 10.3390/rs14040934.

Bahrami, Hazhir; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; McNairn, Heather; Hosseini, Mehdi et Mahdianpari, Masoud (2022). Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data./ Caractérisation régionale des cultures à l’aide de données d’observations de la Terre multitemporelles optiques et celles d’un radar à synthèse d’ouverture. Canadian Journal of Remote Sensing , vol. 48 , nº 2. pp. 258-277. DOI: 10.1080/07038992.2021.2011180.

Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Robertson, Laura Dingle; Davidson, Andrew; Ahmadian, Nima; Bhattacharya, Avik; Borg, Erik; Conrad, Christopher; Dabrowska-Zielinska, Katarzyna; de Abelleyra, Diego; Gurdak, Radoslaw; Kumar, Vineet; Kussul, Nataliia; Mandal, Dipankar; Rao, Y. S.; Saliendra, Nicanor; Shelestov, Andrii; Spengler, Daniel; Verón, Santiago R.; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 et Becker-Reshef, Inbal (2021). A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index. Remote Sensing , vol. 13 , nº 7. p. 1348. DOI: 10.3390/rs13071348.

Dey, Subhadip; Bhogapurapu, Narayanarao; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; Bhattacharya, Avik et McNairn, Heather (2021). Unsupervised Classification of Crop Growth Stages with Scattering Parameters from Dual-Pol Sentinel-1 SAR Data. Remote Sensing , vol. 13 , nº 21. p. 4412. DOI: 10.3390/rs13214412.

Reisi-Gahrouei, Omid; McNairn, Heather; Hosseini, Mehdi et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2020). Estimation of Crop Biomass and Leaf Area Index from Multitemporal and Multispectral Imagery Using Machine Learning Approaches. Canadian Journal of Remote Sensing , vol. 46 , nº 1. pp. 84-99. DOI: 10.1080/07038992.2020.1740584.

Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Robertson, Laura Dingle; Davidson, Andrew et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2020). Integration of synthetic aperture radar and optical satellite data for corn biomass estimation. MethodsX , vol. 7 . p. 100857. DOI: 10.1016/j.mex.2020.100857.

Reisi-Gahrouei, Omid; Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356; McNairn, Heather; Hosseini, Mehdi et Safari, Abdolreza (2019). Crop biomass estimation using multi regression analysis and neural networks from multitemporal L-band polarimetric synthetic aperture radar data. International Journal of Remote Sensing , vol. 40 , nº 17. pp. 6822-6840. DOI: 10.1080/01431161.2019.1594436.

Mahdianpari, Masoud; Mohammadimanesh, Fariba; McNairn, Heather; Davidson, Andrew; Rezaee, Mohammad; Salehi, Bahram et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2019). Mid-season Crop Classification Using Dual-, Compact-, and Full-polarization in Preparation for the Radarsat Constellation Mission (RCM). Remote Sensing , vol. 11 , nº 13. p. 1582. DOI: 10.3390/rs11131582.

Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Dingle Robertson, Laura; Davidson, Andrew et Homayouni, Saeid ORCID: https://orcid.org/0000-0002-0214-5356 (2019). Synthetic aperture radar and optical satellite data for estimating the biomass of corn. International Journal of Applied Earth Observation and Geoinformation , vol. 83 . p. 101933. DOI: 10.1016/j.jag.2019.101933.