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Summary of Proposal LAN2999

TitleThe identificationand analysis of soil moisture effects from SAR and InSAR processing overagricultural areas using the integration of C- and X-band data
Investigator Iannacone, Jean Pascal - TRE Canada Inc., N/A
Team Member
Project Manager Falorni, Giacomo - TRE Canada Inc., N/A
Pre-processing Manag Bianchi, Marco - TRE , N/A
Dr. Born, Katrin - Spatial Business Integration ,
MSc Kawsar, Riazuddin - Spatial Business Integration , Remote Sensing
SummaryOBJECTIVES •To investigate interferometric phase artefacts introduced by soil moisture variations as identified from advanced InSAR processing of C- and X-band data; •To separate the contributions of ground deformation and soil moisture to the SAR phase and amplitude signals by: oAnalyzing signal phase variations and comparing the signal response for the C-band and X-band data stacks; oAnalyzing signal amplitude variations by performing change detection analyses on stacks of SAR data to identify variations between the C- and X-band data. •To use in-situ soil moisture data and optical data over agricultural test sites and compare this information to the observed phase signal variations. •To enhance InSAR processing over agricultural lands by characterizing phase response to variations in soil moisture content. •To study the commercial potential of this enhanced InSAR processing method and to study the commercial potential of using the derived soil moisture information for improved agricultural monitoring products. METHODOLOGY The general thrust of the analysis is based on the following approaches 1) InSAR triplets, as tested by De Zan (2014), 2) InSAR data stack processing and 3) SAR amplitude analysis. 1)The phase triplet approach assumes that in normal conditions, given three SAR images, the triple difference phase, Φ1,2,3of the corresponding three interferograms is expected to be small (Equation 1): Φ1,2,3 = Φ1,2 +Φ2,3 – Φ1,3 (1) IfΦ1,2,3is significantly larger than zero and no other factors are affecting the interferometric phase, it assumed that the triple difference is due to a soil moisture variation. Both, X- and C-band phase triplets will be processed and analyzed first independently and then conjunctly. The physical model proposed by De Zan (2014) will be inverted to estimate the soil moisture where phase variations due to soil moisture are identified. 2) InSAR data stack processing will be used toto systematically analyze the Δφsignal before and after the removal of Δφatm+noise. This will potentially allow areas of motion to be isolated from areas with variation in soil moisture over time. Individual phase components will be analyzed in both the X- and C-band data to identify any spatial and temporal correlation, both as single band and as a cross frequency analysis controlled with the ancillary data (optical images and in-situ measurements). 3)The magnitude of the SAR backscatter coefficient σ0 is related to soil moisture through the dielectric constant of the soil. Variation of σ0 will be exploited to identify correlations with soil moisture. Since σ0 may be more sensitive to surface roughness than to soil moisture, the use of multi-temporal SAR data sets will minimize the influence of roughness and maximize sensitivity to soil moisture changes. The use of multi-band data sets will further help characterize soil moisture variations, by exploiting the different sensitivity to surface roughness of X- and C-band data. DATA REQUIREMENTS RADARSAT-2 Ultra-Fine and TerraSAR-X datasets over Ladner, BC, will provide a preliminary study site for the development of the co-acquired C- and X-band data stack analytical procedures while new data is being collected over the Manitoba and German sites. For the active monitoring site (carman, MB), RADARSAT and TerraSAR-X data would be collected with similar parameters, including pixel resolution, orbit geometry and beam angle. In particular, 95archived TSX(02/2008 to 07/2015) and 64 newTSXacquisition will be required, in bothSSC and MDG format. DELIVERABLES progress reports will present the activities, progress and challenges encountered EVERY 6 months. The final report will summarize all project activities and results. TRE will also deliver any future publications related to the work performed under this project to CSA/DLR

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