Observing Sucrose Accumulation With Sentinel-1 Backscatter

Journal Article (2021)
Author(s)

Nadja den Besten (VanderSat B.V., TU Delft - Water Resources)

S.C. Steele-Dunne (TU Delft - Mathematical Geodesy and Positioning)

Benjamin Aouizerats (VanderSat B.V.)

Ariel Zajdband (TU Delft - Planet)

Richard De Jeu (VanderSat B.V.)

Pieter Van Der Zaag (TU Delft - Water Resources, IHE Delft Institute for Water Education)

Research Group
Water Resources
Copyright
© 2021 N.I. den Besten, S.C. Steele-Dunne, Benjamin Aouizerats, Ariel Zajdband, Richard de Jeu, P. van der Zaag
DOI related publication
https://doi.org/10.3389/frsen.2021.778691
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 N.I. den Besten, S.C. Steele-Dunne, Benjamin Aouizerats, Ariel Zajdband, Richard de Jeu, P. van der Zaag
Research Group
Water Resources
Volume number
2
Pages (from-to)
1-9
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Abstract

In this study the impact of sucrose accumulation in Sentinel-1 backscatter observations is presented and compared to Planet optical observations. Sugarcane yield data from a sugarcane plantation in Xinavane, Mozambique are used for this study. The database contains sugarcane yield of 387 fields over two seasons (2018-2019 and 2019-2020). The relation between sugarcane yield and Sentinel-1 VV and VH backscatter observation is analyzed by using the Normalized Difference Vegetation Index (NDVI) data as derived from Planet Scope optical imagery as a benchmark. The different satellite observations were compared over time to sugarcane yield to understand how the relation between the observations and yield evolves during the growing season. A negative correlation between yield and Cross Ratio (CR) from Sentinel-1 backscatter was found while a positive correlation between yield and Planet NDVI was observed. An additional modeling study on the dielectric properties of the crop revealed how the CR could be affected by sucrose accumulation during the growing season and supported the opposite correlations. The results shows CR contains information on sucrose content in the sugarcane plant. This sets a basis for further development of sucrose monitoring and prediction using a combination of radar and optical imagery.