ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE

Joost Wellens; Mattia Stasolla; Mor Talla Sall; Bernard Tychon; Xavier Neyt

doi:10.1109/IGARSS47720.2021.9555163

ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE

Joost Wellens, Mattia Stasolla, Mor Talla Sall, Bernard Tychon, Xavier Neyt

Remote Sensing

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

Abstract

The “Compagnie Sucrière Sénégalaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for assimilation in AquaCrop. Field-specific emergence dates, varying from 10 to 45 days after planting, were assimilated in AquaCrop. Simulated sugarcane biomass had an R² of 0.7 and an RMSE of 6.4%. The improved management support system was also able to identify potential irrigation mismanagements.

Original language	English
Title of host publication	IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1069-1072
Number of pages	4
ISBN (Electronic)	9781665403696
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9555163
Publication status	Published - 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2021-July

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

Keywords

Crop model
Crop phenology
Sentinel-1
Sugarcane
Time series analysis

Access to Document

10.1109/IGARSS47720.2021.9555163

Cite this

Wellens, J., Stasolla, M., Sall, M. T., Tychon, B., & Neyt, X. (2021). ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1069-1072). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS47720.2021.9555163

Wellens, Joost ; Stasolla, Mattia ; Sall, Mor Talla et al. / ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL : CASE OF SUGARCANE. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1069-1072 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{848bbdc01401420c835e517cbcb5c944,

title = "ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE",

abstract = "The “Compagnie Sucri{\`e}re S{\'e}n{\'e}galaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for assimilation in AquaCrop. Field-specific emergence dates, varying from 10 to 45 days after planting, were assimilated in AquaCrop. Simulated sugarcane biomass had an R2 of 0.7 and an RMSE of 6.4\%. The improved management support system was also able to identify potential irrigation mismanagements.",

keywords = "Crop model, Crop phenology, Sentinel-1, Sugarcane, Time series analysis",

author = "Joost Wellens and Mattia Stasolla and Sall, \{Mor Talla\} and Bernard Tychon and Xavier Neyt",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9555163",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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

pages = "1069--1072",

booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",

}

Wellens, J, Stasolla, M, Sall, MT, Tychon, B & Neyt, X 2021, ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE. in IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2021-July, Institute of Electrical and Electronics Engineers Inc., pp. 1069-1072, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9555163

ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE. / Wellens, Joost; Stasolla, Mattia; Sall, Mor Talla et al.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1069-1072 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021-July).

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

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AU - Stasolla, Mattia

AU - Sall, Mor Talla

AU - Tychon, Bernard

AU - Neyt, Xavier

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N2 - The “Compagnie Sucrière Sénégalaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for assimilation in AquaCrop. Field-specific emergence dates, varying from 10 to 45 days after planting, were assimilated in AquaCrop. Simulated sugarcane biomass had an R2 of 0.7 and an RMSE of 6.4%. The improved management support system was also able to identify potential irrigation mismanagements.

AB - The “Compagnie Sucrière Sénégalaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for assimilation in AquaCrop. Field-specific emergence dates, varying from 10 to 45 days after planting, were assimilated in AquaCrop. Simulated sugarcane biomass had an R2 of 0.7 and an RMSE of 6.4%. The improved management support system was also able to identify potential irrigation mismanagements.

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ER -

Wellens J, Stasolla M, Sall MT, Tychon B, Neyt X. ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE. In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1069-1072. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS47720.2021.9555163

ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

SARSAR: AUTOMATIC REDEVELOPMENT SITES MONITORING USING SAR AND OPTICAL IMAGES

Cite this

ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SARSAR: AUTOMATIC REDEVELOPMENT SITES MONITORING USING SAR AND OPTICAL IMAGES

Cite this