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Proceedings Paper

Characterization of canola canopies using optical and SAR imagery
Author(s): Xianfeng Jiao; Heather McNairn; Mehdi Hosseini ; Saeid Homayouni
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Paper Abstract

Normalized Difference Vegetation Index (NDVI) values extracted from remotely sensed optical imagery are used ubiquitously to monitor crop condition. However, challenges in the operational use of optical imagery are well documented making it difficult to capture measures of crop condition during critical phenology stages when clouds obscure. This study investigates the integration of Synthetic Aperture Radar (SAR) and optical imagery to characterize the condition of crop canopies in order to deliver daily measures of NDVI during the entire growing season. Multitemporal C-band polarimetric RADARSAT-2 SAR data and RapidEye images were acquired in 2012 for a study site in western Canada. SAR polarimetric parameters and NDVI were extracted. The temporal variations in SAR polarimetric parameters and NDVI were interpreted with respect to the development of the canola canopy. Optical NDVI was statistically related with SAR polarimetric parameters over test canola fields. Significant correlations were documented between a number of SAR polarimetric parameters and optical NDVI, in particular with respect to HV backscatter, span, volume scattering of the Freeman Durden decomposition and the radar vegetation index, with R-values of 0.83, 0.72, 0.81 and 0.71 respectively. Based on the statistical analysis, SAR polarimetric parameters were calibrated to optical NDVI, creating a SAR-calibrated NDVI (SARc-NDVI)). A canopy structure dynamics model (CSDM) was fitted to the SARc-NDVI, providing a seasonal temporal vegetation index curve. The coupling of NDVI from optical and SAR imagery with a CSDM demonstrates the potential to derive daily measures of crop condition over the entire growing season.

Paper Details

Date Published: 18 September 2018
PDF: 8 pages
Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 1076704 (18 September 2018); doi: 10.1117/12.2321305
Show Author Affiliations
Xianfeng Jiao, Agriculture and Agri-Food Canada (Canada)
Heather McNairn, Agriculture and Agri-Food Canada (Canada)
Mehdi Hosseini , Carleton Univ. (Canada)
Saeid Homayouni, Ottawa Univ. (Canada)


Published in SPIE Proceedings Vol. 10767:
Remote Sensing and Modeling of Ecosystems for Sustainability XV
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)

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