Relevance of Sentinel-2 satellite images for monitoring manure and digestate spreadings on annual crops and grasslands over a farm (Nouzilly, France) - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Poster De Conférence Année : 2023

Relevance of Sentinel-2 satellite images for monitoring manure and digestate spreadings on annual crops and grasslands over a farm (Nouzilly, France)

Résumé

In order to mitigate the nitrate pollution, application of exogeneous organic matter (EOM) shall be monitored in compliance with the “fertilizer closed periods” of the European Union. Spectral indices in the visible, near-infrared and shortwave infrared domain such as EOMI2 proposed by Dodin et al. (2021) enabled the detection of spreading events through field measurements and bidate comparisons, and their use shall be temporally extrapolated and tested for winter periods. The difficulty in identifying EOM application lies in their ephemerous spreading over the soil surface, in conjunction with the underlying soil characteristics, and possible interference with soil management practices such as manure burying. A proof of concept is proposed here, based on both Sentinel-2 and some well characterized fields of the experimental INRAE farm of Nouzilly (France) for which the EOM types, quantities and precise dates of their spreading were known over the 2018-2022 period. Over the experimental fields in this farm, spectral measurements were carried out on emerging wheat in March-April 2022 (Dodin et al., 2022). This study relies on the Sentinel-2 time series of spectral indices (EOMI2, NDVI, S2WI, NBR2) and the temporal sequence of farmer’s works for seven large fields. The focus is set on the differences in values of image pairs, between and after spreading, and an ascending hierarchical classification of indices values, consolidated by a thorough description of the agricultural practices of EOM spreading, crop rotations and tillage operations following spreading events. A large part of the spreading events was marked by spectral changes for which the spectral index EOMI2 did enable to detect a change, despite low rates of application. About the three quarters of spreading events were detected from the considered Sentinel-2 time series. A systematic search of small variations remains to be further carried out in order to detect spreading events amidst a time series. References Dodin, M., Smith, .D., Levavasseur, F., Hadjar, D., Houot, S., Vaudour, E., 2021. Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland 13 1616. doi :10.3390/rs13091616 Dodin, M., Levavasseur, F., Savoie, A., Martin, L., Staub, C., Foulon, J., Vaudour, E., 2022. Potential of Sentinel-2 Satellite Images for Monitoring Digestate and Slurry spreading in Temperate Cropland, SOM 2022 Seoul, South Korea, oral presentation.
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Dates et versions

hal-04100855 , version 1 (18-05-2023)

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  • HAL Id : hal-04100855 , version 1

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Emmanuelle Vaudour, Maxence Dodin, Antoine Savoie, Lucie Martin, Christophe Staub, et al.. Relevance of Sentinel-2 satellite images for monitoring manure and digestate spreadings on annual crops and grasslands over a farm (Nouzilly, France). Soil Mapping for a Sustainable Future. 2nd joint Workshop of the IUSS Working Groups Digital Soil Mapping and Global Soil Map, Feb 2023, Orléans (FRA), France. 2023. ⟨hal-04100855⟩
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