The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping
Airborne measurements of sun-induced chlorophyll fluorescence (SIF) are a promising tool for monitoring plant functioning on different scales. However, currently operational airborne imaging spectrometers for SIF measurements still have limited spatial resolution and pointing accuracy. This is chall...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421002725 |
| _version_ | 1817978461414752256 |
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| author | Julie Krämer Bastian Siegmann Thorsten Kraska Onno Muller Uwe Rascher |
| author_facet | Julie Krämer Bastian Siegmann Thorsten Kraska Onno Muller Uwe Rascher |
| author_sort | Julie Krämer |
| collection | DOAJ |
| description | Airborne measurements of sun-induced chlorophyll fluorescence (SIF) are a promising tool for monitoring plant functioning on different scales. However, currently operational airborne imaging spectrometers for SIF measurements still have limited spatial resolution and pointing accuracy. This is challenging in terms of the practical use of SIF maps for crop breeding and plant phenotyping. We developed and tested two spatial aggregation approaches to make airborne SIF data usable in experimental settings with a high number of small experimental plots. The two aggregation approaches generating representative SIF values for experimental plots demonstrated the potential to be used in crop phenotyping. The first aggregation approach (Approach A) aggregates pixel values directly on SIF maps, whereas the second approach (Approach B) aggregates at-sensor radiance before SIF retrieval. The statistical analysis showed that Approaches A and B led to significantly different SIF products for single experimental plots (p < 0.001). To evaluate the usability of the two approaches, aggregated SIF products were fitted against ground-based reference measurements. We found that Approach B provided a better representation of ground truth SIF760 (R2 = 0.61, p < 0.001) than Approach A (R2 = 0.55, p < 0.001) when combined with weighted averaging and robust outlier detection. Furthermore, our results suggest that a slight decrease in the spatial resolution of the image data improves accuracy of aggregation. |
| first_indexed | 2024-04-13T22:30:26Z |
| format | Article |
| id | doaj.art-3565eb753cec43cb9f5d32178036845b |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-13T22:30:26Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-3565eb753cec43cb9f5d32178036845b2022-12-22T02:26:57ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-12-01104102565The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotypingJulie Krämer0Bastian Siegmann1Thorsten Kraska2Onno Muller3Uwe Rascher4Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Germany; Corresponding author at: IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, GermanyFaculty of Agriculture, University of Bonn, Field Lab Campus Klein-Altendorf 1, 53359 Rheinbach, GermanyInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, GermanyInstitute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, GermanyAirborne measurements of sun-induced chlorophyll fluorescence (SIF) are a promising tool for monitoring plant functioning on different scales. However, currently operational airborne imaging spectrometers for SIF measurements still have limited spatial resolution and pointing accuracy. This is challenging in terms of the practical use of SIF maps for crop breeding and plant phenotyping. We developed and tested two spatial aggregation approaches to make airborne SIF data usable in experimental settings with a high number of small experimental plots. The two aggregation approaches generating representative SIF values for experimental plots demonstrated the potential to be used in crop phenotyping. The first aggregation approach (Approach A) aggregates pixel values directly on SIF maps, whereas the second approach (Approach B) aggregates at-sensor radiance before SIF retrieval. The statistical analysis showed that Approaches A and B led to significantly different SIF products for single experimental plots (p < 0.001). To evaluate the usability of the two approaches, aggregated SIF products were fitted against ground-based reference measurements. We found that Approach B provided a better representation of ground truth SIF760 (R2 = 0.61, p < 0.001) than Approach A (R2 = 0.55, p < 0.001) when combined with weighted averaging and robust outlier detection. Furthermore, our results suggest that a slight decrease in the spatial resolution of the image data improves accuracy of aggregation.http://www.sciencedirect.com/science/article/pii/S0303243421002725Sun-induced chlorophyll fluorescenceSIFAirborne remote sensingSpatial aggregationOutlier detectionHampel identifier |
| spellingShingle | Julie Krämer Bastian Siegmann Thorsten Kraska Onno Muller Uwe Rascher The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping International Journal of Applied Earth Observations and Geoinformation Sun-induced chlorophyll fluorescence SIF Airborne remote sensing Spatial aggregation Outlier detection Hampel identifier |
| title | The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping |
| title_full | The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping |
| title_fullStr | The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping |
| title_full_unstemmed | The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping |
| title_short | The potential of spatial aggregation to extract remotely sensed sun-induced fluorescence (SIF) of small-sized experimental plots for applications in crop phenotyping |
| title_sort | potential of spatial aggregation to extract remotely sensed sun induced fluorescence sif of small sized experimental plots for applications in crop phenotyping |
| topic | Sun-induced chlorophyll fluorescence SIF Airborne remote sensing Spatial aggregation Outlier detection Hampel identifier |
| url | http://www.sciencedirect.com/science/article/pii/S0303243421002725 |
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