Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data

Nadia Ouaadi; Lionel Jarlan; Jamal Ezzahar; Mehrez Zribi; Said Khabba; Elhoussaine Bouras; Pierre Louis Frison

doi:10.1109/M2GARSS47143.2020.9105282

Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data

Nadia Ouaadi, Lionel Jarlan, Jamal Ezzahar, Mehrez Zribi, Said Khabba, Elhoussaine Bouras, Pierre Louis Frison

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

The sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from C-band Sentinel-1. Results show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture (SSM) changes. A new method to retrieve SSM combining the interferometric coherence and C-band backscattering coefficient acquired by Sentinel-1 is tested over two irrigated wheat plots during two growth seasons around Marrakech city (center of Morocco). It is shown that SSM can be estimated with a reasonable accuracy from sowing to harvest (R=0.65; RMSE =0.07 m³m³; bias =0.01 m³m³). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy.

Original language	English
Title of host publication	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	212-215
Number of pages	4
ISBN (Electronic)	9781728121901
DOIs	https://doi.org/10.1109/M2GARSS47143.2020.9105282
Publication status	Published - 2020 Mar
Externally published	Yes
Event	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Tunis, Tunisia Duration: 2020 Mar 9 → 2020 Mar 11

Publication series

Name	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

Conference

Conference	2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020
Country/Territory	Tunisia
City	Tunis
Period	2020/03/09 → 2020/03/11

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Subject classification (UKÄ)

Soil Science

Free keywords

backscattering coefficient
interferometric coherence
semi-arid area
Surface soil moisture
Water Cloud Model
wheat crops

Access to Document

10.1109/M2GARSS47143.2020.9105282

Cite this

Ouaadi, N., Jarlan, L., Ezzahar, J., Zribi, M., Khabba, S., Bouras, E., & Frison, P. L. (2020). Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data. In 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings (pp. 212-215). Article 9105282 (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/M2GARSS47143.2020.9105282

Ouaadi, Nadia ; Jarlan, Lionel ; Ezzahar, Jamal et al. / Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data. 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. pp. 212-215 (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings).

@inproceedings{88d04cb1755b475d8ef974aaf0aa9c44,

title = "Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data",

abstract = "The sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from C-band Sentinel-1. Results show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture (SSM) changes. A new method to retrieve SSM combining the interferometric coherence and C-band backscattering coefficient acquired by Sentinel-1 is tested over two irrigated wheat plots during two growth seasons around Marrakech city (center of Morocco). It is shown that SSM can be estimated with a reasonable accuracy from sowing to harvest (R=0.65; RMSE =0.07 m3m3; bias =0.01 m3m3). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy.",

keywords = "backscattering coefficient, interferometric coherence, semi-arid area, Surface soil moisture, Water Cloud Model, wheat crops",

author = "Nadia Ouaadi and Lionel Jarlan and Jamal Ezzahar and Mehrez Zribi and Said Khabba and Elhoussaine Bouras and Frison, {Pierre Louis}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 ; Conference date: 09-03-2020 Through 11-03-2020",

year = "2020",

month = mar,

doi = "10.1109/M2GARSS47143.2020.9105282",

language = "English",

series = "2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

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Ouaadi, N, Jarlan, L, Ezzahar, J, Zribi, M, Khabba, S, Bouras, E & Frison, PL 2020, Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data. in 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings., 9105282, 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 212-215, 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020, Tunis, Tunisia, 2020/03/09. https://doi.org/10.1109/M2GARSS47143.2020.9105282

Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data. / Ouaadi, Nadia; Jarlan, Lionel; Ezzahar, Jamal et al.
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. p. 212-215 9105282 (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data

AU - Ouaadi, Nadia

AU - Jarlan, Lionel

AU - Ezzahar, Jamal

AU - Zribi, Mehrez

AU - Khabba, Said

AU - Bouras, Elhoussaine

AU - Frison, Pierre Louis

PY - 2020/3

Y1 - 2020/3

N2 - The sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from C-band Sentinel-1. Results show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture (SSM) changes. A new method to retrieve SSM combining the interferometric coherence and C-band backscattering coefficient acquired by Sentinel-1 is tested over two irrigated wheat plots during two growth seasons around Marrakech city (center of Morocco). It is shown that SSM can be estimated with a reasonable accuracy from sowing to harvest (R=0.65; RMSE =0.07 m3m3; bias =0.01 m3m3). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy.

AB - The sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from C-band Sentinel-1. Results show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture (SSM) changes. A new method to retrieve SSM combining the interferometric coherence and C-band backscattering coefficient acquired by Sentinel-1 is tested over two irrigated wheat plots during two growth seasons around Marrakech city (center of Morocco). It is shown that SSM can be estimated with a reasonable accuracy from sowing to harvest (R=0.65; RMSE =0.07 m3m3; bias =0.01 m3m3). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy.

KW - backscattering coefficient

KW - interferometric coherence

KW - semi-arid area

KW - Surface soil moisture

KW - Water Cloud Model

KW - wheat crops

U2 - 10.1109/M2GARSS47143.2020.9105282

DO - 10.1109/M2GARSS47143.2020.9105282

M3 - Paper in conference proceeding

AN - SCOPUS:85086711430

T3 - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

SP - 212

EP - 215

BT - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020

Y2 - 9 March 2020 through 11 March 2020

ER -

Ouaadi N, Jarlan L, Ezzahar J, Zribi M, Khabba S, Bouras E et al. Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data. In 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc. 2020. p. 212-215. 9105282. (2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings). doi: 10.1109/M2GARSS47143.2020.9105282

Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data

Abstract

Publication series

Conference

Bibliographical note

Subject classification (UKÄ)

Free keywords

Access to Document

Fingerprint

Cite this