2001
DOI: 10.1016/s0034-4257(00)00180-2
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The Application of Dielectric Retrieval Algorithms for Mapping Soil Salinity in a Tropical Coastal Environment Using Airborne Polarimetric SAR

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Cited by 49 publications
(22 citation statements)
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“…The dielectric constant is a complex number consisting of a real part, which is related to soil moisture, and an imaginary part, which is related to salinity. Using inverse modelling, the imaginary part can be calculated and calibrated with soil salinity (Bell et al, 2001;Taylor et al, 1996;Yun et al, 2003). Soil salinity classes have been successfully derived on a local scale (b500 km 2 ) with the C-, P-, and L-bands of airborne and spaceborne radar systems; best results are obtained using L-band data because long wavelengths penetrate soil and vegetation to a greater extent than higher frequencies (Bell et al, 2001;Lasne et al, 2008;Taylor et al, 1996).…”
Section: Soil Salinitymentioning
confidence: 99%
“…The dielectric constant is a complex number consisting of a real part, which is related to soil moisture, and an imaginary part, which is related to salinity. Using inverse modelling, the imaginary part can be calculated and calibrated with soil salinity (Bell et al, 2001;Taylor et al, 1996;Yun et al, 2003). Soil salinity classes have been successfully derived on a local scale (b500 km 2 ) with the C-, P-, and L-bands of airborne and spaceborne radar systems; best results are obtained using L-band data because long wavelengths penetrate soil and vegetation to a greater extent than higher frequencies (Bell et al, 2001;Lasne et al, 2008;Taylor et al, 1996).…”
Section: Soil Salinitymentioning
confidence: 99%
“…Due to limited amount of sampling sites (only 68 sites were sampled) and available funds and labor, the sampling might not be a good representation for large areas. Remote sensing technology, on the other hand, provides a viable alternative to traditional field work due to its large area coverage, multiple spectra information and nearly constant observation (Bell et al, 2001;Bierwirth and Brodie, 2008;Douaoui et al, 2006;Farifteh et al, 2007;Metternicht and Zinck, 2003;Mulder et al, 2011;Taghizadeh-Mehrjardi et al, 2014). This is especially true since higher resolution imageries become readily available.…”
Section: Introductionmentioning
confidence: 99%
“…Засоленность почв может быть оценена по данным дистанционного гиперспектрального зондирования и наземных измерений электропроводности почвы на тестовых участках [6]. Предложен алгоритм определения почвенной засоленности, основанный на измерении значений мнимой части комплексной диэлектрической проницаемости почвы [7].…”
Section: Doi 1014258/izvasu(2017)4-09unclassified