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Impact of acquisition date on the prediction performance of topsoil organic carbon from single date or multidate Sentinel-2 images

Abstract : The implementation of information technology solutions in agriculture is required, particularly in the area of sensing and mapping systems to provide critical data for decision support and help different stakeholders (agricultural producers and researchers) to evaluate the status of soil and propose soil management strategies in the context of climate change. New sensor technologies allow collecting fine-scale information to provide spatial and temporal variability related data on soil, crop and environmental factors. Over the last few decades, visible and near infrared (visNIR) spectroscopy provided a high through put tool to carry out large sample quantities. This enables the efficient assessment of soil property patterns such as C, N, clay content. Furthermore, technology development and information management systems (e.g., geographic information systems, photogrammetry and remote sensing techniques, global positioning systems, sensors and communication devices for real-time soil sensing and monitoring) have been advanced to deal with agricultural soil sustainability and productivity. The purpose of the session is to present the current knowledge on relevant methodologies and techniques concerning soil diagnostics and crop monitoring by using remote sensing techniques at short–medium term.
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https://hal.inrae.fr/hal-02788304
Contributor : Migration Prodinra <>
Submitted on : Friday, June 5, 2020 - 3:19:23 AM
Last modification on : Tuesday, June 15, 2021 - 2:57:21 PM

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  • HAL Id : hal-02788304, version 1
  • PRODINRA : 471489

Citation

Emmanuelle Vaudour, Cécile Gomez, Leila Ali, Thomas Loiseau, Philippe Lagacherie, et al.. Impact of acquisition date on the prediction performance of topsoil organic carbon from single date or multidate Sentinel-2 images. EGU, European Geosciences Union, General Assembly 2019, Apr 2019, Vienne, Austria. ⟨hal-02788304⟩

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