2023
DOI: 10.1007/s12518-023-00489-9
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Soil moisture modeling over agricultural fields using C-band synthetic aperture radar and modified Dubois model

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Cited by 6 publications
(3 citation statements)
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“…The integration of Sentinel-1 and -2 (SAR and MSI) data proves beneficial at a local to regional scale, yielding enhanced outcomes when compared to relying solely on the optical sensor. Sentinel-1 and -2 sensors are available for free and have successfully monitored water resources separately [125]. However, it was found that their complete potential has not been fully utilized in the evaluation and monitoring of water resources.…”
Section: Discussionmentioning
confidence: 99%
“…The integration of Sentinel-1 and -2 (SAR and MSI) data proves beneficial at a local to regional scale, yielding enhanced outcomes when compared to relying solely on the optical sensor. Sentinel-1 and -2 sensors are available for free and have successfully monitored water resources separately [125]. However, it was found that their complete potential has not been fully utilized in the evaluation and monitoring of water resources.…”
Section: Discussionmentioning
confidence: 99%
“…Remotely sensed data are quite often used as covariates in precision agriculture applications, since they can be correlated as proxies of key soil-forming factors [39][40][41][42]. Quite often used covariates are vegetation indices such as the normalized difference vegetation index (NDVI) [43][44][45], and recently, Synthetic Aperture Radar (SAR) was also correlated as a covariate for geostatistical modeling in water-soil sciences [46][47][48].…”
Section: Ndvi and Sar Mosaic Derivation From Sentinel-1 And -2mentioning
confidence: 99%
“…Certainly, the cloud and ground surface-penetration capacity and irrelevance of ambient lighting conditions (day and night imaging possible, optical shadows not a problem) make SAR an attractive choice in some situations. However, SAR data are generally more difficult to interpret and process [66], require soil surface roughness and incident angle data for model calibration [67], and may only be used for a limited range of soil MC [68]. There are also a number of independent, compelling, arguments for the development of new and improved soil MC prediction algorithms based on visible and NIR data.…”
Section: Why Use Vis-nir Data When Sar Is Available?mentioning
confidence: 99%