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Article Dans Une Revue Remote Sensing Letters Année : 2021

Investigating operational country-level crop monitoring with Sentinel~1 and~2 imagery

Résumé

In this paper, we propose an operational solution for the yearly classification of crop parcels at national scale (namely France) for Land Parcel Identification System updating, under the Common Agricultural Policy (CAP) open-source framework and fed with both time series of Sentinel-1 radar and Sentinel-2 optical images, with complementary contributions. Three conceivable scenarios are investigated with two sets of nomenclatures (17 and 43 classes): early, on-line, and late classifications. Experiments performed on 2017 show very satisfactory results (82–97%), locally almost on-par with state-of-the-art deep-based methods. We can conclude our framework offers a strong basis for country-scale operational deployment for 2020+CAP.
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Dates et versions

hal-03312443 , version 1 (02-08-2021)

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  • HAL Id : hal-03312443 , version 1

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Nicolas David, Sébastien Giordano, Clément Mallet. Investigating operational country-level crop monitoring with Sentinel~1 and~2 imagery. Remote Sensing Letters, 2021, 12 (10), pp.970-982. ⟨hal-03312443⟩
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