References

• Agriculture and Agri-Food Canada. 2020. “Annual Space-Based Crop Inventory for Canada, 2009–2020.” Agroclimate, Geomatics and Earth Observation Division, Science and Technology Branch. https://open.canada.ca/data/en/dataset/ba2645d5-4458-414d-b196-6303ac06c1c9.
   Google Scholar
• Ballester-Berman, J.D., and Lopez-Sanchez, J.M. 2012. “Time series of hybrid-polarity parameters over agricultural crops.” IEEE Geoscience and Remote Sensing Letters, Vol. 9(No. 1): pp. 139–143. doi:10.1109/LGRS.2011.2162312.
   Web of Science ®Google Scholar
• Boryan, C., Yang, A., Mueller, R., and Craig, M. 2011. “Monitoring US agriculture: The US department of agriculture, national agricultural statistics service, cropland data layer program.” Geocarto International, Vol. 26(No. 5): pp. 341–358. doi:10.1080/10106049.2011.562309.
   Web of Science ®Google Scholar
• Bouchemakh, L., Smara, Y., Boutarfa, S., and Hamadache, Z. 2008. “A comparative study of speckle filtering in polarimetric radar SAR images.” IEEE Proceedings of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications ICTTA’08, Damascus, Syria, 1–6 May 2008. doi:10.1109/ICTTA.2008.4530040.
   Google Scholar
• Breiman, L. 2001. “Random Forests.” Machine Learning, Vol. 45(No. 1): pp. 5–32. doi:10.1023/A:1010933404324.
   Web of Science ®Google Scholar
• Brisco, B., Li, K., Tedford, B., Charbonneau, F., Yun, S., and Murnaghan, K. 2013. “Compact polarimetry assessment for rice and wetland mapping.” International Journal of Remote Sensing, Vol. 34(No. 6): pp. 1949–1964. doi:10.1080/01431161.2012.730156.
   Web of Science ®Google Scholar
• Charbonneau, F.J., Brisco, B., Raney, R.K., McNairn, H., Liu, C., Vachon, P.W., Shang, J., et al. 2010. “Compact polarimetry overview and applications assessment.” Canadian Journal of Remote Sensing, Vol. 36(No. sup2): pp. S298–S315. doi:10.5589/m10-062.
   Web of Science ®Google Scholar
• Chirakkal, S., Haldar, D., and Misra, A. 2017. “Evaluation of hybrid polarimetric decomposition techniques for winter crop discrimination.” Progress in Electromagnetics Research M, Vol. 55: pp. 73–84. doi:10.2528/PIERM17011603.
   Web of Science ®Google Scholar
• Cloude, S.R., Goodenough, D.G., and Chen, H. 2012. “Compact decomposition theory.” IEEE Geoscience and Remote Sensing Letters, Vol. 9(No. 1): pp. 28–32. doi:10.1109/LGRS.2011.2158983.
   Web of Science ®Google Scholar
• Cloude, S.R., and Pottier, E. 1996. “A review of target decomposition theorems in radar polarimetry.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 34(No. 2): pp. 498–518. doi:10.1109/36.485127.
   Web of Science ®Google Scholar
• Collett, E. 2005. Field Guide to Polarization. Bellingham, WA: SPIE Press.
   Google Scholar
• Dasari, K., and Lokam, A. 2018. “Exploring the capability of compact polarimetry (hybrid pol) C band RISAT-1 data for land cover classification.” IEEE Access., Vol. 6: pp. 57981–57993. doi:10.1109/ACCESS.2018.2873348.
   Web of Science ®Google Scholar
• Dave, V.A., Haldar, D., Dave, R., Misra, A., and Pandey, V. 2017. “Cotton crop biophysical parameter study using hybrid/compact polarimetric RISAT-1 SAR data.” Progress in Electromagnetics Research M, Vol. 57: pp. 185–196. doi:http://doi.org/10.2528/PIERM16121903.
   Web of Science ®Google Scholar
• Davidson, A. M., Fisette, T., McNairn, H., and Daneshfar, B. 2017. Detailed crop mapping using remote sensing data (Crop Data Layers). In Handbook on remote sensing for agricultural statistics (Chapter 4), edited by J. Delincé. Rome: Handbook of the Global Strategy to Improve Agricultural and Rural Statistics (GSARS).
   Google Scholar
• De, S., Kumar, V., and Rao, Y. 2014. “Crop classification using RISAT-1 hybrid polarimetric SAR Data.” Eursar 2014, p. 5.
   Google Scholar
• Deschamps, B., McNairn, H., Shang, J., and Jiao, X. 2012. “Towards operational radar-only crop type classification: Comparison of a traditional decision tree with a random forest classifier.” Canadian Journal of Remote Sensing, Vol. 38(No. 1): pp. 60–68. doi:10.5589/m12-012.
   Web of Science ®Google Scholar
• Dingle Robertson, L., Davidson, A. M., McNairn, H., Hosseini, M., and Mitchell, S. 2019. "Compact polarimetry for agricultural mapping and inventory: Preparation for RADARSAT constellation mission." IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 5851–5854, 28 July–2 August 2019. doi:10.1109/IGARSS.2019.8898631.
   Google Scholar
• Dingle Robertson, L., Davidson, A.M., McNairn, H., Hosseini, M., Mitchell, S., De Abelleyra, D., Verón, S., and Cosh, M.H. 2020a. “Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping.” International Journal of Remote Sensing, Vol. 41(No. 18): pp. 7112–7144. doi:10.1080/01431161.2020.1754494.
   Web of Science ®Google Scholar
• Dingle Robertson, L., Davidson, A.M., McNairn, H., Hosseini, M., Mitchell, S., De Abelleyra, D., Verón, S., et al. 2020b. “C-band synthetic aperture radar (SAR) imagery for the classification of diverse cropping systems.” International Journal of Remote Sensing, Vol. 41(No. 24): pp. 9628–9649. doi:10.1080/01431161.2020.1805136.
   Web of Science ®Google Scholar
• Doyon, M., Smyth, J., Kroupnik, G., Carrie, C., Sauvageau, M., Levesque, J.-F., Babiker, F., et al. 2018. “RADARSAT CONSTELLATION MISSION: Toward launch and operations.” 15th International Conference on Space Operations, May 2018. doi:10.2514/6.2018-2605.
   Google Scholar
• Fisette, T., McNairn, H., and Davidson, A. M. 2015. An operational annual space-based crop inventory based on the integration of optical and microwave remote sensing data: Protocol document. Ottawa: Agriculture and Agri-Food Canada Publication.
   Google Scholar
• Freeman, S., and Durden, L.A. 1998. “Three-component scattering model for polarimetric SAR Data.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 36(No. 3): pp. 963–973. doi:10.1109/36.673687.
   Web of Science ®Google Scholar
• Gagnon, L., and Jouan, A. 1997. “Speckle filtering of SAR images - A comparative study between complex-wavelet-based and standard filters.” SPIE Proceedings. #3169, “Wavelet Applications in Signal and Image Processing V,” San Diego. doi:10.1117/12.279681.
   Google Scholar
• Hu, Y., Tao, V., and Croitoru, A. 2004. “Understanding the rational function model: methods and applications.” Environmental Science. ISPRS.org, Corpus ID: 2702825. ISC.ca, https://www.isc.ca/signedinhome/help/land/pages/landdescriptions.aspx (downloaded December 2021).
   Google Scholar
• Magagi, R., Berg, A.A., Goïta, K., Bélair, S., Jackson, T.J., Toth, B.M., Walker, A.S., et al. 2013. “Canadian experiment for soil moisture in 2010 (CanEx-SM10): Overview and preliminary results.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 51(No. 1): pp. 347–363. doi:10.1109/TGRS.2012.2198920.
   Web of Science ®Google Scholar
• Mahdianpari, M., Mohammadimanesh, F., McNairn, H., Davidson, A.M., Rezaee, B., Salehi, S., and Homayouni, S. 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): pp. 1582–1608. doi:10.3390/rs11131582.
   Web of Science ®Google Scholar
• McNairn, H., Shang, J., Jiao, X., and Champagne, C. 2009. “The Contribution of ALOS PALSAR Multi-polarization and Polarimetric Data to Crop Classification.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 47(No. 12): pp. 3981–3992. doi:10.1109/TGRS.2009.2026052.
   Web of Science ®Google Scholar
• McNairn, H., and Shang, J. 2016. “Multitemporal remote sensing: Methods and applications.” In A review of multitemporal synthetic aperture radar (SAR) for crop monitoring, edited by Y. Ban, vol. 20, 317–340. Cham: Springer. doi:10.1007/978-3-319-47037-5_15.
   Google Scholar
• Meier, U. 2001. Growth stages of mono-and dicotyledonous plants: BBCH monograph. Oxford, UK: Federal Biological Research Centre for Agriculture and Forestry.
   Google Scholar
• Millard, K., and Richardson, M. 2015. “On the importance of training data sample selection in random forest image classification: A case study in peatland ecosystem mapping.” Remote Sensing, Vol. 7(No. 7): pp. 8489–8515. doi:10.3390/rs70708489.
   Web of Science ®Google Scholar
• Natural Resources Canada, Canada Centre for Mapping and Earth Observation. 2020. “Earth observation data management system SAR toolbox.” https://www.nrcan.gc.ca/earthobservation (accessed 2020).
   Google Scholar
• Quinlan, J.R. 1990. “Decision trees and decision making.” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 20(No. 2): pp. 339–346. doi:10.1109/21.52545.
   Web of Science ®Google Scholar
• Raney, R.K. 2006. “Dual-polarized SAR and Stokes parameters.” IEEE Geoscience and Remote Sensing Letters, Vol. 3(No. 3): pp. 317–319. doi:10.1109/LGRS.2006.871746.
   Web of Science ®Google Scholar
• Raney, R.K. 2007. “Hybrid-polarity SAR architecture.” IEEE Transactions on Geoscience and Remote Sensing, Vol. 45(No. 11): pp. 3397–3404. doi:10.1109/TGRS.2007.895883.
   Web of Science ®Google Scholar
• Raney, R.K. 2019. “Hybrid dual-polarization synthetic aperture radar.” Remote Sensing, Vol. 11(No. 13): pp. 1521. doi:10.3390/rs11131521.
   Web of Science ®Google Scholar
• Raney, R. K., Cahill, J. T. S., Patterson, G. W., and Bussey, D. B. J. 2012. “The m-chi decomposition of hybrid dual-polarimetric radar data.” IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22–27. doi:10.1029/2011JE003986.
   Google Scholar
• Raney, R.K., Brisco, B., Dabboor, M., and Mahdianpari, M. 2021. “RADARSAT constellation mission’s operational polarimetric modes: A user-driven radar architecture.” Canadian Journal of Remote Sensing, Vol. 47(No. 1): pp. 1–16. doi:10.1080/07038992.2021.1907566.
   Web of Science ®Google Scholar
• Saskatchewan Ministry of Agriculture, Annual Report for 2020–2021. n.d. https://publications.saskatchewan.ca/api/v1/products/113765/formats/128171/download (downloaded February 2022).
   Google Scholar
• Shang, J., McNairn, H., Champagne, C., and Jiao, X. 2009. “Advances in geoscience and remote sensing.” In Application of multi-frequency synthetic aperture radar (SAR) in crop classification, edited by G. Jedlovec, 557–568. Rijeka, Croatia: InTech.
   Google Scholar
• Shook, K., Pomeroy, J.W., Spence, C., and Boychuk, L. 2013. “Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization.” Hydrological Processes, Vol. 27(No. 13): pp. 1875–1889. doi:10.1002/hyp.9867.
   Web of Science ®Google Scholar
• Sun, S., Liu, R., Yang, C., Zhou, H., Zhao, J., and Ma, J. 2016. “Comparative study on the speckle filters for the very high-resolution polarimetric synthetic aperture radar imagery.” Journal of Applied Remote Sensing, Vol. 10(No. 4): pp. 045014. doi:10.1117/1.JRS.10.045014.
   Google Scholar
• Tetlock, E., Toth, B., Berg, A., Rowlandson, T., and Ambadan, J.T. 2019. “An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada.” Earth System Science Data, Vol. 11(No. 2): pp. 787–796. doi:10.5194/essd-11-787-2019.
   Web of Science ®Google Scholar
• Touzi, R., Lapointe, M., Nedelcu, S., Fobert, M. A., and Cote, S. 2021. “Assessment and calibration of RCM compact.” 42 Canadian Symposium on Remote Sensing, Virtual Presentation, Yellowknife, NWT, June 22–24, 2021.
   Google Scholar
• Uppala, D., Venkata, R.K., Poloju, S., Sai, S., Rama, M.V., and Dadhwal, V.K. 2016. “Discrimination of maize crop with hybrid polarimetric RISAT1 data.” International Journal of Remote Sensing, Vol. 37(No. 11): pp. 2641–2652. doi:10.1080/01431161.2016.1184353.
   Web of Science ®Google Scholar
• Waldner, F., De Abelleyra, D., Verón, S.R., Zhang, M., Wu, B., Bartalev, P.D., Lavreniuk, S., et al. 2016. “Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity.” International Journal of Remote Sensing, Vol. 37(No. 14): pp. 3196–3231. doi:10.1080/01431161.2016.1194545.
   Web of Science ®Google Scholar
• Wang, H., Zhou, Z., Turnbull, J., Song, Q., and Qi, F. 2015. “Three-component decomposition based on stokes vector for compact polarimetric SAR.” Sensors, Vol. 15(No. 9): pp. 24087–24108. doi:10.1109/EuRAD.2015.7346240.
   PubMed Web of Science ®Google Scholar
• Xie, L., Zhang, H., Li, H., and Wang, C. 2015. “A unified framework for crop classification in southern China using fully polarimetric, dual polarimetric, and compact polarimetric SAR data.” International Journal of Remote Sensing, Vol. 36(No. 14): pp. 3798–3818. doi:10.1080/01431161.2015.1070319.
   Web of Science ®Google Scholar