Multispectral remote sensing as a tool to support organic crop certification: assessment of the discrimination level between organic and conventional maize

Article

Denis, Antoine, Desclee, Baudouin, Migdall, Silke, Hansen, Herbert, Bach, Heike, Ott, Pierre, Kouadio, Amani Louis and Tychon, Bernard. 2021. "Multispectral remote sensing as a tool to support organic crop certification: assessment of the discrimination level between organic and conventional maize." Remote Sensing. 13 (1). https://doi.org/10.3390/rs13010117
Article Title

Multispectral remote sensing as a tool to support organic crop certification: assessment of the discrimination level between organic and conventional maize

ERA Journal ID201448
Article CategoryArticle
AuthorsDenis, Antoine (Author), Desclee, Baudouin (Author), Migdall, Silke (Author), Hansen, Herbert (Author), Bach, Heike (Author), Ott, Pierre (Author), Kouadio, Amani Louis (Author) and Tychon, Bernard
Journal TitleRemote Sensing
Journal Citation13 (1)
Article Number117
Number of Pages27
Year2021
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2072-4292
Digital Object Identifier (DOI)https://doi.org/10.3390/rs13010117
Web Address (URL)https://www.mdpi.com/2072-4292/13/1/117
Abstract

The annual certification of organic agriculture products includes an in situ inspection of the fields declared organic. This inspection is more difficult, time-consuming, and costly for large farms or in production regions located in remote areas. The global objective of this research is to assess how spatial remote sensing may support the organic crop certification process by developing a method that would enable certification bodies to target for priority in situ control crop fields declared as organic but that would show on satellite imagery an appearance closer to conventional fields. For this purpose, the ability of multispectral satellite images to discriminate between organic and conventional maize fields was assessed through the use of a set of four satellite images of different spatial and spectral resolutions acquired at different crop growth stages over a large number of maize fields (32) that are part of an operational farm in Germany. In support of this main objective, a set of in situ measurements (leaf hyperspectral reflectance, chlorophyll, and nitrogen content and dry matter percentage, crop canopy cover, height, wet biomass and dry matter percentage, soil chemical composition) was conducted to characterize the nature of the biochemical and biophysical differences between organic and conventional maize fields. The results of this research showed that highly significant biochemical and biophysical differences between a large number of organic and conventional maize fields may exist at identified crop growth stages and that these differences may be sufficiently pronounced to enable the complete discrimination between crop management modes using satellite images issued from quite common multispectral satellite sensors through the use of spectral or spatial heterogeneity indices. These results are very encouraging and suggest, for the first time, that satellite images could effectively support the organic maize certification process.

Keywordsspatial remote sensing; multispectral satellite image; organic crop certification; organic agriculture; conventional agriculture; maize; biochemical and biophysical maize properties; discrimination
ANZSRC Field of Research 2020300206. Agricultural spatial analysis and modelling
300202. Agricultural land management
Byline AffiliationsUniversity of Liege, Belgium
KEYOBS SA, Belgium
Vista, Germany
Ecocert, France
Centre for Applied Climate Sciences
University of Liege, Belgium
Institution of OriginUniversity of Southern Queensland
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Kouadio, Louis and Newlands, Nathaniel K.. 2015. "Building capacity for assessing spatial-based sustainability metrics in agriculture." Decision Analytics. 2 (2). https://doi.org/10.1186/s40165-015-0011-9
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El Jarroudi, Moussa, Kouadio, Louis, Beyer, Marco, Junk, Jurgen, Hoffmann, Lucien, Tychon, Bernard, Maraite, Henri, Bock, Clive H. and Delfosse, Philippe. 2015. "Economics of a decision–support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg." Field Crops Research. 172, pp. 32-41. https://doi.org/10.1016/j.fcr.2014.11.012
Disease Severity Estimates-Effects of Rater Accuracy and Assessment Methods for Comparing Treatments
Bock, C. H., El Jarroudi, M., Kouadio, L. A., Mackels, C., Chiang, K.-S. and Delfosse, P.. 2015. "Disease Severity Estimates-Effects of Rater Accuracy and Assessment Methods for Comparing Treatments." Plant Disease. 99 (8), pp. 1104-1112. https://doi.org/10.1094/PDIS-09-14-0925-RE
Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale
Kouadio, Louis, Newlands, Nathaniel K., Davidson, Andrew, Zhang, Yinsuo and Chipanshi, Aston. 2014. "Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale." Remote Sensing. 6 (10), pp. 10193-10214. https://doi.org/10.3390/rs61010193
Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system
El Jarroudi, Moussa, Kouadio, Louis, Giraud, Frederic, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system." Environmental Science and Pollution Research. 21 (7), pp. 4809-4818. https://doi.org/10.1007/s11356-014-2557-9
Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe and Tychon, Bernard. 2014. "Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions." Environmental Science and Pollution Research. 21 (7), pp. 4797-4808. https://doi.org/10.1007/s11356-013-2463-6
An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty
Newlands, Nathaniel K., Zamar, David S., Kouadio, Louis A., Zhang, Yinsuo, Chipanshi, Aston, Potgieter, Andries, Toure, Souleymane and Hill, Harvey S. J.. 2014. "An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty." Frontiers in Environmental Science. 2, pp. 1-21. https://doi.org/10.3389/fenvs.2014.00017
A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing
Bock, Clive, El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Chiang, Kuo-Szu and Delfosse, Philippe. 2014. "A comparison of raters and disease assessment methods for estimating disease severity for purposes of hypothesis testing." Phytopathology: International Journal of the American Phytopathological Society. 104 (11), pp. 15-16.
Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates
Kouadio, Louis, Djaby, Bakary, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Importance of a well-distributed frequency of measurements in the senescence monitoring of winter wheat and yield estimates." Journal of Agricultural Science and Technology . 2 (12), pp. 1203-1213.
Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]
Kouadio, Amani Louis, Djaby, Bakary, Duveiller, Gregory, El Jarroudi, Moussa and Tychon, Bernard. 2012. "Estimating winter wheat yield through the decreasing phase of its green area [Cinetique de decroissance de la surface verte et estimation du rendement du ble d'hiver]." Biotechnology, Agronomy, Society and Environment. 16 (2), pp. 179-191.
Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg
El Jarroudi, Moussa, Kouadio, Louis, Delfosse, Philippe, Giraud, Frederic, Junk, Jurgen, Hoffmann, Lucien, Maraite, Henri and Tychon, Bernard. 2012. "Typology of the main fungal diseases affecting winter wheat in the Grand Duchy of Luxembourg." Journal of Agricultural Science and Technology . 2 (12), pp. 1386-1399.
Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system
Djaby, Bakary, de Wit, Allard, Kouadio, Louis, El Jarroudi, Moussa and Tychon, Bernard. 2013. "Spatial distribution of calibrated WOFOST parameters and their influence on the performances of a regional yield forecasting system." Sustainable Agriculture Research. 2 (4), pp. 12-29. https://doi.org/10.5539/sar.v2n4p12
Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat
El Jarroudi, Moussa, Kouadio, Louis, Mackels, Christophe, Tychon, Bernard, Delfosse, Philippe and Bock, Clive H.. 2014. "Disease severity assessment in epidemiological studies: accuracy and reliability of visual estimates of Septoria leaf blotch (SLB) in winter wheat." 2014 APS-CPS Joint Meeting. Minneapolis, United States of America 09 - 13 Aug 2014 United States. American Phytopathological Society. https://doi.org/10.1094/PHYTO-104-11-S3.1
Profitability of using warning system for foliar disease of wheat in the Grand-Duchy of Luxembourg
El Jarroudi, M., Kouadio, L., Beyer, M., Tychon, B. and Delfosse, P.. 2013. "Profitability of using warning system for foliar disease of wheat in the Grand-Duchy of Luxembourg." 2013 APS-MSA Joint Meeting. United States 10 - 14 Aug 2013 United States. American Phytopathological Society. https://doi.org/10.1094/PHYTO-103-6-S2.1