Remote sensing of soil moisture using EMAC/ESAR data

Z. Su; P. A. Troch; F. P. De Troch

doi:10.1109/IGARSS.1996.516644

Remote sensing of soil moisture using EMAC/ESAR data

Z. Su^*, P. A. Troch, F. P. De Troch

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

In this paper we present first results of surface soil moisture retrieval using data from the European Multisensor Airborne Campaign / Experimental Synthetic Aperture Radar (EMAC/ESAR) collected on April 9, 1994 in the Zwalm catchment, Belgium. We apply a theoretical backscattering model to investigate the sensitivity of EMAC/ESAR backscattering coefficients to surface parameters. By comparing the predicted backscattering coefficients to the observed ones, we can conclude that current measurement techniques for surface roughness parameters in remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ESAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

Original language	English
Title of host publication	IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium
Place of Publication	Lincoln
Publisher	IEEE
Pages	1303-1305
Number of pages	3
ISBN (Print)	0-7803-3068-4
DOIs	https://doi.org/10.1109/IGARSS.1996.516644
Publication status	Published - 31 May 1996
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1996 - Lincoln, United States Duration: 28 May 1996 → 31 May 1996

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1996
Abbreviated title	IGARSS 1996
Country/Territory	United States
City	Lincoln
Period	28/05/96 → 31/05/96

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10.1109/IGARSS.1996.516644

Cite this

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title = "Remote sensing of soil moisture using EMAC/ESAR data",

abstract = "In this paper we present first results of surface soil moisture retrieval using data from the European Multisensor Airborne Campaign / Experimental Synthetic Aperture Radar (EMAC/ESAR) collected on April 9, 1994 in the Zwalm catchment, Belgium. We apply a theoretical backscattering model to investigate the sensitivity of EMAC/ESAR backscattering coefficients to surface parameters. By comparing the predicted backscattering coefficients to the observed ones, we can conclude that current measurement techniques for surface roughness parameters in remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ESAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.",

author = "Z. Su and Troch, {P. A.} and {De Troch}, {F. P.}",

year = "1996",

month = may,

day = "31",

doi = "10.1109/IGARSS.1996.516644",

language = "English",

isbn = "0-7803-3068-4",

pages = "1303--1305",

booktitle = "IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

address = "United States",

note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1996, IGARSS 1996 ; Conference date: 28-05-1996 Through 31-05-1996",

}

TY - GEN

T1 - Remote sensing of soil moisture using EMAC/ESAR data

AU - Su, Z.

AU - Troch, P. A.

AU - De Troch, F. P.

PY - 1996/5/31

Y1 - 1996/5/31

N2 - In this paper we present first results of surface soil moisture retrieval using data from the European Multisensor Airborne Campaign / Experimental Synthetic Aperture Radar (EMAC/ESAR) collected on April 9, 1994 in the Zwalm catchment, Belgium. We apply a theoretical backscattering model to investigate the sensitivity of EMAC/ESAR backscattering coefficients to surface parameters. By comparing the predicted backscattering coefficients to the observed ones, we can conclude that current measurement techniques for surface roughness parameters in remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ESAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

AB - In this paper we present first results of surface soil moisture retrieval using data from the European Multisensor Airborne Campaign / Experimental Synthetic Aperture Radar (EMAC/ESAR) collected on April 9, 1994 in the Zwalm catchment, Belgium. We apply a theoretical backscattering model to investigate the sensitivity of EMAC/ESAR backscattering coefficients to surface parameters. By comparing the predicted backscattering coefficients to the observed ones, we can conclude that current measurement techniques for surface roughness parameters in remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ESAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

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DO - 10.1109/IGARSS.1996.516644

M3 - Conference contribution

AN - SCOPUS:0029698477

SN - 0-7803-3068-4

SP - 1303

EP - 1305

BT - IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium

PB - IEEE

CY - Lincoln

T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1996

Y2 - 28 May 1996 through 31 May 1996

ER -

Remote sensing of soil moisture using EMAC/ESAR data

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