TY - GEN
T1 - SAR-image derived soil moisture enhancement using GPR data
AU - Nottebaere, M.
AU - Ardekani, M. R.
AU - Lambot, S.
AU - Neyt, X.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Measuring the spatial distribution of soil moisture is important for agricultural, hydrological, meteorological and climatological research and applications. In this study, a new technique is developed to create soil moisture maps, based on the inversion of SAR measurements (RADARSAT-2, fine quad polarization) combined with GPR measurements. The Integral Equation Model is used to invert the SAR measurements, assuming a constant surface roughness and correlation length for the entire field, while the GPR data are inverted using a full wave inversion method. High resolution GPR measurements taken at different times under different land and weather conditions are used to generate a relative soil moisture landscape. We assume that these soil moisture difference patterns show little variation over time. By combining the inverted SAR data with a transformation of the soil moisture difference landscape, a high resolution soil moisture map is generated. The high resolution soil moisture maps show good agreement with the measured GPR soil moisture maps. The advantage of this technique is that once the relative soil moisture difference landscape is created, it allows the creation of new high resolution soil moisture maps later, by only taking a SAR image.
AB - Measuring the spatial distribution of soil moisture is important for agricultural, hydrological, meteorological and climatological research and applications. In this study, a new technique is developed to create soil moisture maps, based on the inversion of SAR measurements (RADARSAT-2, fine quad polarization) combined with GPR measurements. The Integral Equation Model is used to invert the SAR measurements, assuming a constant surface roughness and correlation length for the entire field, while the GPR data are inverted using a full wave inversion method. High resolution GPR measurements taken at different times under different land and weather conditions are used to generate a relative soil moisture landscape. We assume that these soil moisture difference patterns show little variation over time. By combining the inverted SAR data with a transformation of the soil moisture difference landscape, a high resolution soil moisture map is generated. The high resolution soil moisture maps show good agreement with the measured GPR soil moisture maps. The advantage of this technique is that once the relative soil moisture difference landscape is created, it allows the creation of new high resolution soil moisture maps later, by only taking a SAR image.
KW - GPR
KW - Inversion
KW - SAR
KW - soil moisture retrieval
UR - http://www.scopus.com/inward/record.url?scp=84919682642&partnerID=8YFLogxK
U2 - 10.1109/ICGPR.2014.6970418
DO - 10.1109/ICGPR.2014.6970418
M3 - Conference contribution
AN - SCOPUS:84919682642
T3 - Proceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014
SP - 223
EP - 226
BT - Proceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014
A2 - Lambot, Sebastien
A2 - Giannopoulos, Antonis
A2 - Pajewski, Lara
A2 - Andre, Frederic
A2 - Slob, Evert
A2 - Craeye, Christophe
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Ground Penetrating Radar, GPR 2014
Y2 - 30 June 2014 through 4 July 2014
ER -