Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment
This study is aimed to evaluate the utility of Sentinel-2 imagery for monitoring exogenous organic matter (EOM) applied on winter wheat crop, using two spatial scales: proximal and satellite. From proximal sensing, multi-temporal spectral field measurements were taken on experimental fields consisti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10106049.2023.2245371 |
| _version_ | 1827814560996786176 |
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| author | Maxence Dodin Florent Levavasseur Antoine Savoie Lucie Martin Jean Foulon Emmanuelle Vaudour |
| author_facet | Maxence Dodin Florent Levavasseur Antoine Savoie Lucie Martin Jean Foulon Emmanuelle Vaudour |
| author_sort | Maxence Dodin |
| collection | DOAJ |
| description | This study is aimed to evaluate the utility of Sentinel-2 imagery for monitoring exogenous organic matter (EOM) applied on winter wheat crop, using two spatial scales: proximal and satellite. From proximal sensing, multi-temporal spectral field measurements were taken on experimental fields consisting of three treatments (cattle slurry, liquid and raw digestates) and a control throughout 46 days. From Sentinel-2 satellites, images were analysed before and after EOM application. For both sensing scales, EOM and vegetation indices were used. On any scale of observation, the digestates spread on emerging wheat were easily detectable in late winter, in contrast to spring spreading events which were hindered by the developed vegetation. The agglomerative hierarchical clustering from the EOM indices divided by EVI achieved to discriminate digestates at early and medium stages of vegetation growth. Our findings did not apply for cattle slurry, presumably because of both lower organic and dry matter contents. |
| first_indexed | 2024-03-11T23:46:50Z |
| format | Article |
| id | doaj.art-2f15a50fd9be43b5a6f7f37d60c83a57 |
| institution | Directory Open Access Journal |
| issn | 1010-6049 1752-0762 |
| language | English |
| last_indexed | 2024-03-11T23:46:50Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj.art-2f15a50fd9be43b5a6f7f37d60c83a572023-09-19T09:13:18ZengTaylor & Francis GroupGeocarto International1010-60491752-07622023-12-0138110.1080/10106049.2023.22453712245371Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experimentMaxence Dodin0Florent Levavasseur1Antoine Savoie2Lucie Martin3Jean Foulon4Emmanuelle Vaudour5Université Paris-Saclay, INRAE, AgroParisTech, UMR EcoSysUniversité Paris-Saclay, INRAE, AgroParisTech, UMR EcoSysINRAE, UE PAOUniversité Paris-Saclay, INRAE, AgroParisTech, UMR EcoSysINRAE, UE PAOUniversité Paris-Saclay, INRAE, AgroParisTech, UMR EcoSysThis study is aimed to evaluate the utility of Sentinel-2 imagery for monitoring exogenous organic matter (EOM) applied on winter wheat crop, using two spatial scales: proximal and satellite. From proximal sensing, multi-temporal spectral field measurements were taken on experimental fields consisting of three treatments (cattle slurry, liquid and raw digestates) and a control throughout 46 days. From Sentinel-2 satellites, images were analysed before and after EOM application. For both sensing scales, EOM and vegetation indices were used. On any scale of observation, the digestates spread on emerging wheat were easily detectable in late winter, in contrast to spring spreading events which were hindered by the developed vegetation. The agglomerative hierarchical clustering from the EOM indices divided by EVI achieved to discriminate digestates at early and medium stages of vegetation growth. Our findings did not apply for cattle slurry, presumably because of both lower organic and dry matter contents.http://dx.doi.org/10.1080/10106049.2023.2245371remote sensingexogenous organic matterspectral measurementorganic fertilizerwinter wheat |
| spellingShingle | Maxence Dodin Florent Levavasseur Antoine Savoie Lucie Martin Jean Foulon Emmanuelle Vaudour Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment Geocarto International remote sensing exogenous organic matter spectral measurement organic fertilizer winter wheat |
| title | Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment |
| title_full | Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment |
| title_fullStr | Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment |
| title_full_unstemmed | Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment |
| title_short | Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment |
| title_sort | sentinel 2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop a field spectroscopy experiment |
| topic | remote sensing exogenous organic matter spectral measurement organic fertilizer winter wheat |
| url | http://dx.doi.org/10.1080/10106049.2023.2245371 |
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