Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil

Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agr...

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Autores principales: Elsy Ibrahim, Anne Gobin
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/98b41dd0c46243a8ab0325fea566c0fb
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spelling oai:doaj.org-article:98b41dd0c46243a8ab0325fea566c0fb2021-11-11T18:49:35ZSentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil10.3390/rs132141952072-4292https://doaj.org/article/98b41dd0c46243a8ab0325fea566c0fb2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4195https://doaj.org/toc/2072-4292Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.Elsy IbrahimAnne GobinMDPI AGarticlesoilagricultureSentinel-2artificial coverplastic mulchScienceQENRemote Sensing, Vol 13, Iss 4195, p 4195 (2021)
institution DOAJ
collection DOAJ
language EN
topic soil
agriculture
Sentinel-2
artificial cover
plastic mulch
Science
Q
spellingShingle soil
agriculture
Sentinel-2
artificial cover
plastic mulch
Science
Q
Elsy Ibrahim
Anne Gobin
Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
description Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.
format article
author Elsy Ibrahim
Anne Gobin
author_facet Elsy Ibrahim
Anne Gobin
author_sort Elsy Ibrahim
title Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
title_short Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
title_full Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
title_fullStr Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
title_full_unstemmed Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil
title_sort sentinel-2 recognition of uncovered and plastic covered agricultural soil
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/98b41dd0c46243a8ab0325fea566c0fb
work_keys_str_mv AT elsyibrahim sentinel2recognitionofuncoveredandplasticcoveredagriculturalsoil
AT annegobin sentinel2recognitionofuncoveredandplasticcoveredagriculturalsoil
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