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

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.

Originalsprache	Englisch
Titel	IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	1069-1072
Seitenumfang	4
ISBN (elektronisch)	9781665403696
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9555163
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgien Dauer: 12 Juli 2021 → 16 Juli 2021

Publikationsreihe

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

Konferenz

Konferenz	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Land/Gebiet	Belgien
Ort	Brussels
Zeitraum	12/07/21 → 16/07/21

Zugriff auf Dokument

10.1109/IGARSS47720.2021.9555163

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

SARSAR: AUTOMATIC REDEVELOPMENT SITES MONITORING USING SAR AND OPTICAL IMAGES
Neyt, X. (Leitende(r) Forscher/-in) & Stasolla, M. (Forschende)
1/12/18 → 30/06/21
Projekt: Forschung › Research

Dieses zitieren

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 (S. 1069-1072). (International Geoscience and Remote Sensing Symposium (IGARSS); Band 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. S. 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",

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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), Bd. 2021-July, Institute of Electrical and Electronics Engineers Inc., S. 1069-1072, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgien, 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. S. 1069-1072 (International Geoscience and Remote Sensing Symposium (IGARSS); Band 2021-July).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

AU - Wellens, Joost

AU - Stasolla, Mattia

AU - Sall, Mor Talla

AU - Tychon, Bernard

AU - Neyt, Xavier

PY - 2021

Y1 - 2021

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.

KW - Crop model

KW - Crop phenology

KW - Sentinel-1

KW - Sugarcane

KW - Time series analysis

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AN - SCOPUS:85126044489

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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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. S. 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

Publikationsreihe

Konferenz

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

SARSAR: AUTOMATIC REDEVELOPMENT SITES MONITORING USING SAR AND OPTICAL IMAGES

Dieses zitieren