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Open AccessArticle
Surface Soil Moisture Estimation from Time Series of RADARSAT Constellation Mission Compact Polarimetric Data for the Identification of Water-Saturated Areas
by
Igor Zakharov
Igor Zakharov 1,*,
Sarah Kohlsmith
Sarah Kohlsmith 2,
Jon Hornung
Jon Hornung 2,
François Charbonneau
François Charbonneau 3,
Pradeep Bobby
Pradeep Bobby 4 and
Mark Howell
Mark Howell 4
1
C-CORE, Ottawa, ON K2K 2A4, Canada
2
Suncor Energy Services Inc., Calgary, AB T2P 3E3, Canada
3
Canada Centre for Remote Sensing (CCRS), Canada Centre for Mapping and Earth Observation (CCMEO), 580 Booth Street, Ottawa, ON K1A 0E4, Canada
4
C-CORE, St. John’s, NL A1B 3X5, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(14), 2664; https://doi.org/10.3390/rs16142664 (registering DOI)
Submission received: 12 June 2024
/
Revised: 16 July 2024
/
Accepted: 18 July 2024
/
Published: 21 July 2024
Abstract
Soil moisture is one of the main factors affecting microwave radar backscatter from the ground. While there are other factors that affect backscatter levels (for instance, surface roughness, vegetation, and incident angle), relative variations in soil moisture can be estimated using space-based, medium resolution, multi-temporal synthetic aperture radar (SAR). Understanding the distribution and identification of water-saturated areas using SAR soil moisture can be important for wetland mapping. The SAR soil moisture retrieval algorithm provides a relative assessment and requires calibration over wet and dry periods. In this work, relative soil moisture indicators are derived from a time series of the RADARSAT Constellation Mission (RCM) SAR compact polarimetric (CP) data over reclaimed areas of an oil sands mine in Alberta, Canada. An evaluation of the soil moisture product is performed using in situ measurements showing agreement from June to September. The surface scattering component of m-chi CP decomposition and the RL SAR products demonstrated a good agreement with the field data (low RMSE values and a perfect alignment with field-identified wetlands).
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MDPI and ACS Style
Zakharov, I.; Kohlsmith, S.; Hornung, J.; Charbonneau, F.; Bobby, P.; Howell, M.
Surface Soil Moisture Estimation from Time Series of RADARSAT Constellation Mission Compact Polarimetric Data for the Identification of Water-Saturated Areas. Remote Sens. 2024, 16, 2664.
https://doi.org/10.3390/rs16142664
AMA Style
Zakharov I, Kohlsmith S, Hornung J, Charbonneau F, Bobby P, Howell M.
Surface Soil Moisture Estimation from Time Series of RADARSAT Constellation Mission Compact Polarimetric Data for the Identification of Water-Saturated Areas. Remote Sensing. 2024; 16(14):2664.
https://doi.org/10.3390/rs16142664
Chicago/Turabian Style
Zakharov, Igor, Sarah Kohlsmith, Jon Hornung, François Charbonneau, Pradeep Bobby, and Mark Howell.
2024. "Surface Soil Moisture Estimation from Time Series of RADARSAT Constellation Mission Compact Polarimetric Data for the Identification of Water-Saturated Areas" Remote Sensing 16, no. 14: 2664.
https://doi.org/10.3390/rs16142664
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