Observing Sucrose Accumulation With Sentinel-1 Backscatter
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-12-01
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| Series: | Frontiers in Remote Sensing |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frsen.2021.778691/full |
| _version_ | 1797968414955798528 |
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| author | Nadja den Besten Nadja den Besten Susan Steele-Dunne Benjamin Aouizerats Ariel Zajdband Richard de Jeu Pieter van der Zaag Pieter van der Zaag |
| author_facet | Nadja den Besten Nadja den Besten Susan Steele-Dunne Benjamin Aouizerats Ariel Zajdband Richard de Jeu Pieter van der Zaag Pieter van der Zaag |
| author_sort | Nadja den Besten |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T02:46:32Z |
| format | Article |
| id | doaj.art-60c7ee49ac8b4ee28b185077f43ba093 |
| institution | Directory Open Access Journal |
| issn | 2673-6187 |
| language | English |
| last_indexed | 2024-04-11T02:46:32Z |
| publishDate | 2021-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Remote Sensing |
| spelling | doaj.art-60c7ee49ac8b4ee28b185077f43ba0932023-01-02T17:49:11ZengFrontiers Media S.A.Frontiers in Remote Sensing2673-61872021-12-01210.3389/frsen.2021.778691778691Observing Sucrose Accumulation With Sentinel-1 BackscatterNadja den Besten0Nadja den Besten1Susan Steele-Dunne2Benjamin Aouizerats3Ariel Zajdband4Richard de Jeu5Pieter van der Zaag6Pieter van der Zaag7VanderSat B.V., Agri, Food, and Commodity unit, Haarlem, NetherlandsDepartment of Water Management, Delft University of Technology, Delft, NetherlandsDepartment of Geoscience and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, NetherlandsVanderSat B.V., Agri, Food, and Commodity unit, Haarlem, NetherlandsPlanet, San Francisco, CA, United StatesVanderSat B.V., Agri, Food, and Commodity unit, Haarlem, NetherlandsDepartment of Water Management, Delft University of Technology, Delft, NetherlandsIHE Delft Institute for Water Education, Delft, NetherlandsIn 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.https://www.frontiersin.org/articles/10.3389/frsen.2021.778691/fullcross ratiosucrose accumulationsugarcanesentinel-1yield predictionplanet NDVI |
| spellingShingle | Nadja den Besten Nadja den Besten Susan Steele-Dunne Benjamin Aouizerats Ariel Zajdband Richard de Jeu Pieter van der Zaag Pieter van der Zaag Observing Sucrose Accumulation With Sentinel-1 Backscatter Frontiers in Remote Sensing cross ratio sucrose accumulation sugarcane sentinel-1 yield prediction planet NDVI |
| title | Observing Sucrose Accumulation With Sentinel-1 Backscatter |
| title_full | Observing Sucrose Accumulation With Sentinel-1 Backscatter |
| title_fullStr | Observing Sucrose Accumulation With Sentinel-1 Backscatter |
| title_full_unstemmed | Observing Sucrose Accumulation With Sentinel-1 Backscatter |
| title_short | Observing Sucrose Accumulation With Sentinel-1 Backscatter |
| title_sort | observing sucrose accumulation with sentinel 1 backscatter |
| topic | cross ratio sucrose accumulation sugarcane sentinel-1 yield prediction planet NDVI |
| url | https://www.frontiersin.org/articles/10.3389/frsen.2021.778691/full |
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