Assimilation of Sentinel-2 Estimated LAI into a Crop Model: Influence of Timing and Frequency of Acquisitions on Simulation of Water Stress and Biomass Production of Winter Wheat Article Swipe
Andreas Tewes
,
Carsten Montzka
,
Manuel Nolte
,
Gunther Krauss
,
Holger Hoffmann
,
Thomas Gaiser
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy10111813
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/agronomy10111813
The Sentinel-2 (S2) Toolbox permits for the automated retrieval of leaf area index (LAI). LAI assimilation into crop simulation models could aid to improve the prediction accuracy for biomass at field level. We investigated if the combined effects of assimilation date and corresponding growth stage plus observational frequency have an impact on the crop model-based simulation of water stress and biomass production. We simulated winter wheat growth in nine fields in Germany over two years. S2 LAI estimations for each field were categorized into three phases, depending on the development stage of the crop at acquisition date (tillering, stem elongation, booting to flowering). LAI was assimilated in every possible combinational setup using the ensemble Kalman filter (EnKF). We evaluated the performance of the simulations based on the comparison of measured and simulated aboveground biomass at harvest. The results showed that the effects on water stress remained largely limited, because it mostly occurred after we stopped LAI assimilation. With regard to aboveground biomass, we found that the assimilation of only one LAI estimate from either the tillering or the booting to flowering stage resulted in simulated biomass values similar or closer to measured values than in those where more than one LAI estimate from the stem elongation phase were assimilated. LAI assimilation after the tillering phase might therefore be not necessarily required, as it may not lead to the desired improvement effect.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/agronomy10111813
- https://www.mdpi.com/2073-4395/10/11/1813/pdf?version=1605685030
- OA Status
- gold
- Cited By
- 14
- References
- 67
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3098439230
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3098439230Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/agronomy10111813Digital Object Identifier
- Title
-
Assimilation of Sentinel-2 Estimated LAI into a Crop Model: Influence of Timing and Frequency of Acquisitions on Simulation of Water Stress and Biomass Production of Winter WheatWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-11-18Full publication date if available
- Authors
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Andreas Tewes, Carsten Montzka, Manuel Nolte, Gunther Krauss, Holger Hoffmann, Thomas GaiserList of authors in order
- Landing page
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https://doi.org/10.3390/agronomy10111813Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4395/10/11/1813/pdf?version=1605685030Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4395/10/11/1813/pdf?version=1605685030Direct OA link when available
- Concepts
-
Leaf area index, Environmental science, Biomass (ecology), Data assimilation, Ensemble Kalman filter, Agronomy, Crop, Field experiment, Mathematics, Kalman filter, Meteorology, Biology, Extended Kalman filter, Physics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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14Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4, 2023: 3, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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67Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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