Compact Polarimetry for Agricultural Mapping and Inventory: Preparation for Radarsat Constellation Mission
Agriculture and Agri-Food Canada (AAFC) has combined RADARSAT-2 C-band dual polarization data with optical imagery to map crop types across the agricultural extent of Canada yearly since 2009. In preparation for the launch of the RADARSAT Constellation Mission (RCM) primary research has been focused on incorporating similar-mode dual polarization RCM data in the operational system. The availability of the compact polarimetry (CP) mode with continuous coverage has important implications for crop mapping and inventory. CP mode on RCM has a circular transmit and two orthogonal linear receive structure and maintains phase information. The addition of CP data to AAFC's operational crop type mapping will expand the information that the current dual polarization Synthetic Aperture Radar (SAR) component provides. This will increase the SAR contribution from the simple intensity of backscatter to capturing the scattering characteristics of the target. There are many parameters and decompositions that can be derived from CP data. Many of these parameters are highly correlated or may not provide information that are important for crop type identification. The goal of this research was to derive twenty-four CP parameters and decompositions for a growing season of SAR imagery and to assess the importance and contribution of these features to an overall classification of crops in southern Manitoba, Canada.
|Keywords||agriculture, compact polarimetry, RADARSAT Constellation Mission, RADARSAT-2, Random Forest|
|Conference||39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019|
Robertson, L.D. (Laura DIngle), Davidson, A. (Andrew), McNairn, H. (Heather), Hosseini, M. (Mehdi), & Mitchell, S. (2019). Compact Polarimetry for Agricultural Mapping and Inventory: Preparation for Radarsat Constellation Mission. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5851–5854). doi:10.1109/IGARSS.2019.8898631