Multispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize

Type de document
journalArticle
Langue source
Anglais
Titre français
Titre anglais
Multispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize
Auteur(s)
  • DENIS Antoine
  • DESCLEE Baudouin
  • MIGDALL Silke
  • HANSEN Herbert
  • BACH Heike
  • OTT Pierre
  • KOUADIO Amani Louis
  • TYCHON Bernard
Editeur(s)
Autre(s)
Id
XBY7UKVB
Version
1952
Date ajout
15 janvier 2021 23:33
Date modification
15 janvier 2021 23:33
Résumé anglais
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.
Note
None
CRAW tags
  • AB - Spécifique
  • FREDO technologie et innovation
  • GEO Allemagne
  • GEO Belgique
  • GEO France
  • certification
  • comparaison
  • maïs
WEB tags
  • biochemical and biophysical maize properties
  • conventional agriculture
  • discrimination
  • maize
  • multispectral satellite image
  • organic agriculture
  • organic crop certification
  • spatial remote sensing
Titre de la publication
Remote Sensing
Volume
13
Pages
117
Date caractères
2021/1
Date publication
24 janvier 2021
Doi
10.3390/rs13010117 Le DOI est une URL unique de référencement d'une publication. Il est donc plus fiable et permanent qu'une URL classique