TR32-Database: Database of Transregio 32

[730] - Mapping field scale soil moisture with L-band radiometer and Ground-Penetrating Radar Over Bare Soil

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Citation
Jonard, F., Weihermüller, L., Jadoon, K. Z., Schwank, M., Vereecken, H., Lambot, S., 2011. Mapping field scale soil moisture with L-band radiometer and Ground-Penetrating Radar Over Bare Soil. IEEE Transaction on Geoscience and remote Sensing, 49 (8), 2863 - 2875. DOI: 10.1109/TGRS.2011.2114890.
Identification
Title(s):Main Title: Mapping field scale soil moisture with L-band radiometer and Ground-Penetrating Radar Over Bare Soil
Description(s):Abstract: Accurate estimates of surface soil moisture are essential in many research fields, including agriculture, hydrology and meteorology. The objective of this study was to evaluate two remote-sensing methods for mapping the soil moisture of a bare soil, namely L-band radiometry using brightness temperature and off-ground ground-penetrating radar (GPR) using surface reflection inversion. Invasive time-domain reflectometry (TDR) measurements were used as a reference. A field experiment was performed in which these three methods were used to map soil moisture after heterogeneous irrigation that ensured a wide range of water content. The heterogeneous irrigation pattern was reasonably well reproduced by both remote-sensing techniques. However, significant differences in the absolute moisture values retrieved were observed. This discrepancy was attributed to different sensing depths and areas, and different sensitivities to soil surface roughness. For GPR, the effect of roughness was excluded by operating at low frequencies (0.2-0.8 GHz) that were not sensitive to the field surface roughness. The root mean square (RMS) error between soil moisture measured by GPR and TDR was 0.038 m3 m¡3. For the radiometer, the RMS error decreased from 0.062 (horizontal polarization) and 0.054 (vertical polarization) to 0.020 m3 m¡3 after accounting for roughness using an empirical model that required calibration with reference TDR measurements. Monte Carlo simulations showed that around 20 % of the reference data were required to obtain a good roughness calibration for the entire field. It was concluded that relatively accurate measurements were possible with both methods, although accounting for surface roughness was essential for radiometry.
Identifier(s):DOI: 10.1109/TGRS.2011.2114890
Responsible Party
Creator(s):Author: Francois Jonard
Author: Lutz Weihermüller
Author: Khan Zaib Jadoon
Author: Mike Schwank
Author: Harry Vereecken
Author: Sebastien Lambot
Publisher:IEEE
Topic
TR32 Topic:Remote Sensing
Subject(s):CRC/TR32 Keywords: Remote Sensing, Digital Soil Mapping, GPR, Microwave Radiometer, Surface Roughness
File Details
File Name:2011_Jonard_GRSL.pdf
Data Type:Text
Size(s):13 Pages
File Size:1095 kB (1.069 MB)
Date(s):Date Accepted: 2011-01-30
Issued: 2011-04-19
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:50.8730306
East:6.4591534
South:50.8621968
West:6.4419872
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Article
Article Type:Journal
Source:IEEE Transaction on Geoscience and remote Sensing
Issue:8
Volume:49
Number Of Pages:13
Page Range:2863 - 2875
Metadata Details
Metadata Creator:Heye Bogena
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Subproject:Z3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:167
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
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