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

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

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.

Originele taal-2Engels
TitelIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers Inc.
Pagina's1069-1072
Aantal pagina's4
ISBN van elektronische versie9781665403696
DOI's
StatusGepubliceerd - 2021
Evenement2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, België
Duur: 12 jul. 202116 jul. 2021

Publicatie series

NaamInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2021-July

Congres

Congres2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Land/RegioBelgië
StadBrussels
Periode12/07/2116/07/21

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