Soil moisture mapping using ERS-1/SAR in the Zwalm catchment

Z. Su; Peter A. Troch; F. P. Troch; L. Nachtergale; B. Cosyn

doi:10.1117/12.227174

Soil moisture mapping using ERS-1/SAR in the Zwalm catchment

Z. Su^*, Peter A. Troch, F. P. Troch, L. Nachtergale, B. Cosyn

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

In this paper we present some results of surface soil moisture retrieval using data from ERS- 1/SAR collected in 1994. Concurrent to ERS-1/SAR overflights field data were collected over two subcatchments of the Zwalm catchment in Belgium. After presenting a data processing procedure we apply a theoretical backscattering model to the data set. By comparing the calculated backscattering coefficients to the observed ones, we conclude that the measurements of surface roughness parameters in current remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical backscattering models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ERS- 1/SAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

Original language	English
Pages	112-122
Number of pages	11
DOIs	https://doi.org/10.1117/12.227174
Publication status	Published - 24 Nov 1995
Externally published	Yes
Event	Remote Sensing for Agriculture, Forestry, and Natural Resources 1995 - Paris, France Duration: 26 Sep 1995 → 28 Sep 1995

Conference

Conference	Remote Sensing for Agriculture, Forestry, and Natural Resources 1995
Country/Territory	France
City	Paris
Period	26/09/95 → 28/09/95

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10.1117/12.227174

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title = "Soil moisture mapping using ERS-1/SAR in the Zwalm catchment",

abstract = "In this paper we present some results of surface soil moisture retrieval using data from ERS- 1/SAR collected in 1994. Concurrent to ERS-1/SAR overflights field data were collected over two subcatchments of the Zwalm catchment in Belgium. After presenting a data processing procedure we apply a theoretical backscattering model to the data set. By comparing the calculated backscattering coefficients to the observed ones, we conclude that the measurements of surface roughness parameters in current remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical backscattering models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ERS- 1/SAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.",

author = "Z. Su and Troch, {Peter A.} and Troch, {F. P.} and L. Nachtergale and B. Cosyn",

year = "1995",

month = nov,

day = "24",

doi = "10.1117/12.227174",

language = "English",

pages = "112--122",

note = "Remote Sensing for Agriculture, Forestry, and Natural Resources 1995 ; Conference date: 26-09-1995 Through 28-09-1995",

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T1 - Soil moisture mapping using ERS-1/SAR in the Zwalm catchment

AU - Su, Z.

AU - Troch, Peter A.

AU - Troch, F. P.

AU - Nachtergale, L.

AU - Cosyn, B.

PY - 1995/11/24

Y1 - 1995/11/24

N2 - In this paper we present some results of surface soil moisture retrieval using data from ERS- 1/SAR collected in 1994. Concurrent to ERS-1/SAR overflights field data were collected over two subcatchments of the Zwalm catchment in Belgium. After presenting a data processing procedure we apply a theoretical backscattering model to the data set. By comparing the calculated backscattering coefficients to the observed ones, we conclude that the measurements of surface roughness parameters in current remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical backscattering models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ERS- 1/SAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

AB - In this paper we present some results of surface soil moisture retrieval using data from ERS- 1/SAR collected in 1994. Concurrent to ERS-1/SAR overflights field data were collected over two subcatchments of the Zwalm catchment in Belgium. After presenting a data processing procedure we apply a theoretical backscattering model to the data set. By comparing the calculated backscattering coefficients to the observed ones, we conclude that the measurements of surface roughness parameters in current remote sensing campaigns are not accurate enough for retrieving soil moisture using theoretical backscattering models. A method based on simultaneous retrieval of surface roughness parameters and soil moisture using multiple ERS- 1/SAR measurements is hence proposed. Promising results on retrieved soil moisture confirm the validity of the proposed method.

UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1117/12.227174

U2 - 10.1117/12.227174

DO - 10.1117/12.227174

M3 - Paper

AN - SCOPUS:0029483689

SP - 112

EP - 122

T2 - Remote Sensing for Agriculture, Forestry, and Natural Resources 1995

Y2 - 26 September 1995 through 28 September 1995

ER -

Soil moisture mapping using ERS-1/SAR in the Zwalm catchment

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