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

Ouaadi, Nadia ; Jarlan, Lionel ; Ezzahar, Jamal ; Zribi, Mehrez ; Khabba, Said ; Bouras, Elhoussaine LU orcid and Frison, Pierre Louis (2020) 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 In 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings p.212-215
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... (More)

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.

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author
; ; ; ; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
backscattering coefficient, interferometric coherence, semi-arid area, Surface soil moisture, Water Cloud Model, wheat crops
host publication
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings
series title
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings
article number
9105282
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020
conference location
Tunis, Tunisia
conference dates
2020-03-09 - 2020-03-11
external identifiers
  • scopus:85086711430
ISBN
9781728121901
DOI
10.1109/M2GARSS47143.2020.9105282
language
English
LU publication?
no
additional info
Publisher Copyright: © 2020 IEEE.
id
88d04cb1-755b-475d-8ef9-74aaf0aa9c44
date added to LUP
2023-01-04 09:52:09
date last changed
2023-09-25 15:28:25
@inproceedings{88d04cb1-755b-475d-8ef9-74aaf0aa9c44,
  abstract     = {{<p>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 m<sup>3</sup>m<sup>3</sup>; bias =0.01 m<sup>3</sup>m<sup>3</sup>). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy.</p>}},
  author       = {{Ouaadi, Nadia and Jarlan, Lionel and Ezzahar, Jamal and Zribi, Mehrez and Khabba, Said and Bouras, Elhoussaine and Frison, Pierre Louis}},
  booktitle    = {{2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings}},
  isbn         = {{9781728121901}},
  keywords     = {{backscattering coefficient; interferometric coherence; semi-arid area; Surface soil moisture; Water Cloud Model; wheat crops}},
  language     = {{eng}},
  pages        = {{212--215}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium, M2GARSS 2020 - Proceedings}},
  title        = {{Surface Soil Moisture Retrieval over Irrigated Wheat Crops in Semi-Arid Areas using Sentinel-1 Data}},
  url          = {{http://dx.doi.org/10.1109/M2GARSS47143.2020.9105282}},
  doi          = {{10.1109/M2GARSS47143.2020.9105282}},
  year         = {{2020}},
}