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| Hauptseite > Publikationsdatenbank > Soil Hydraulic Parameters and Surface Soil Moisture of a Tilled Bare Soil Plot Inversely Derived from L-Band Brightness Temperatures > print |
| Hauptseite > Publikationsdatenbank > Soil Hydraulic Parameters and Surface Soil Moisture of a Tilled Bare Soil Plot Inversely Derived from L-Band Brightness Temperatures > print |
| 001 | 150362 | ||
| 005 | 20220930130025.0 | ||
| 024 | 7 | _ | |a 10.2136/vzj2013.04.0075 |2 doi |
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| 037 | _ | _ | |a FZJ-2014-00432 |
| 082 | _ | _ | |a 550 |
| 100 | 1 | _ | |a Dimitrov, M. |0 P:(DE-Juel1)129445 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Soil Hydraulic Parameters and Surface Soil Moisture of a Tilled Bare Soil Plot Inversely Derived from L-Band Brightness Temperatures |
| 260 | _ | _ | |a Madison, Wis. |c 2014 |b SSSA |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1397044575_8373 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a article |2 DRIVER |
| 520 | _ | _ | |a L-band radiometers can be used to remotely monitor the microwave brightness temperature of land surfaces. We investigated how soil hydraulic properties and soil moisture contents of a bare soil plot can be inferred from L-band brightness temperatures using a coupled inversion approach.We coupled a radiative transfer model and a soil hydrologic model (HYDRUS 1D) with an optimization routine to derive soil hydraulic parameters, surface roughness, and soil moisture of a tilled bare soil plot using measured brightness temperatures at 1.4 GHz (L-band), rainfall, and potential soil evaporation. The robustness of the approach was evaluated using five 28-d data sets representing different meteorological conditions. We considered two soil hydraulic property models: the unimodal Mualem–van Genuchten and the bimodal model of Durner. Microwave radiative transfer was modeled by three different approaches: the Fresnel equation with depth-averaged dielectric permittivity of either 2- or 5-cm-thick surface layers and a coherent radiative transfer model (CRTM) that accounts for vertical gradients in dielectric permittivity. Brightness temperatures simulated by the CRTM and the 2-cm-layer Fresnel model fitted well to the measured ones. L-band brightness temperatures are therefore related to the dielectric permittivity and soil moisture in a 2-cm-thick surface layer. The surface roughness parameter that was derived from brightness temperatures using inverse modeling was similar to direct estimates from laser profiler measurements. The laboratory-derived water retention curve was bimodal and could be retrieved consistently for the different periods from brightness temperatures using inverse modeling. A unimodal soil hydraulic property function underestimated the hydraulic conductivity near saturation. Surface soil moisture contents simulated using retrieved soil hydraulic parameters were compared with in situ measurements. Depth-specific calibration relations were essential to derive soil moisture from near-surface installed sensors. |
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| 700 | 1 | _ | |a Vanderborght, J. |0 P:(DE-Juel1)129548 |b 1 |
| 700 | 1 | _ | |a Kostov, K. G. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Jadoon, K. Z. |0 P:(DE-Juel1)129476 |b 3 |
| 700 | 1 | _ | |a Weihermüller, L. |0 P:(DE-Juel1)129553 |b 4 |
| 700 | 1 | _ | |a Jackson, T. J. |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Bindlish, R. |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Pachepsky, Y. |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Schwank, M. |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Vereecken, H. |0 P:(DE-Juel1)129549 |b 9 |
| 773 | _ | _ | |a 10.2136/vzj2013.04.0075 |g Vol. 13, no. 1, p. 0 - |0 PERI:(DE-600)2088189-7 |n 1 |p 1-18 |t Vadose zone journal |v 13 |y 2014 |x 1539-1663 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/150362/files/FZJ-2014-00432.pdf |z Published final document. |y Restricted |
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