[en] Readily available soil moisture data will help farmers to better optimize their irrigation scheduling and minimize water consumption. Consequently, there is a large and accelerating interest in using sensing technologies in precision agriculture worldwide. Among them, passive microwave sensing technology has been considered as the most accurate in retrieving soil moisture. This study compares the performance of an L-band radiometer system at two different platforms: airborne and near-surface (buggy). Field experiments have been conducted across an agricultural site in Tasmania, Australia for three consecutive days for. Ground sampling was also conducted in order to evaluate the accuracy of both L-band radiometer systems. Brightness temperature data from the buggy showed a larger temporal variation on individual days than the aircraft data, likely due to the irrigation activity during the longer period required for data collection by the buggy than for the aircraft. In terms of the relationship between brightness temperature and soil moisture, both platforms showed similar results while the buggy-based data showed a slightly better correlation with soil moisture.
Wu, Xiaoling; Department of Civil Engineering, Clayton Campus, Monash University, Australia
Ye, Nan; Department of Civil Engineering, Clayton Campus, Monash University, Australia
Walker, Jeffrey; Department of Civil Engineering, Clayton Campus, Monash University, Australia
Hills, James; Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia
Jonard, François ; Université de Liège - ULiège > Département de géographie ; Forschungszentrum Jülich GmbH, Institute of Bio- and Geosciences - Agrosphere, J lich, Germany
Pauwels, Valentijn; Department of Civil Engineering, Clayton Campus, Monash University, Australia
Language :
English
Title :
Multi-platform radiometer systems for surface soil moisture retrieval
Publication date :
2019
Event name :
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Event place :
Yokohama, Japan
Event date :
28-07-2019 => 02-08-2019
Audience :
International
Main work title :
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher :
Institute of Electrical and Electronics Engineers Inc.
IEEE. GRSS - Institute of Electrical and Electronics Engineers. Geoscience and Remote Sensing Society
Funding text :
This project has been funded by University of Tasmania, and ARC Linkage Infrastructure, Equipment and Facilities (LIEF) grants LE150100047 and LE0453434. Authors also would like to thank all volunteers involved in ground sampling.
T. J. Schmugge, T. J. Jackson, and H. L. McKim, "Survey of methods for soil moisture determination, " Water Resources Research, vol. 16, no. 6, pp. 961-979, 1980.
E. T. Engman, "Applications of microwave remote sensing of soil moisture for water resources and agriculture, " Remote Sensing of Environment, vol. 35, no. 2-3, pp. 213-226, 1991.
N. Baghdadi and M. Zribi, "Evaluation of radar backscatter models IEM, OH and Dubois using experimental observations, " International Journal of Remote Sensing, vol. 27, no. 18, pp. 3831-3852, 2006.
E. G. Njoku et al., "Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99, " IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 12, pp. 2659-2673, 2002.
Y. H. Kerr et al., "The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle, " Proceedings of the IEEE, vol. 98, no. 5, pp. 666-687, 2010.
R. Panciera, J. P. Walker, T. J. Jackson, et al, "The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission, " IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 490-507, 2014.
O. Merlin, J.P. Walker, R. Panciera, R. Young, J. D. Kalma, and E. J. Kim, 2007. "Calibration of a Soil Moisture Sensor in Heterogeneous Terrain with the National Airborne Field Experiment (NAFE) Data". In Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, pp. 2604-2610, December 2007.
