Agritrop
Home

Integrating SPOT-5 time series, crop growth modeling and expert knowledge for monitoring agricultural practices. The case of sugarcane harvest on Reunion Island

El Hajj Mahmoud, Bégué Agnès, Guillaume Serge, Martiné Jean-François. 2009. Integrating SPOT-5 time series, crop growth modeling and expert knowledge for monitoring agricultural practices. The case of sugarcane harvest on Reunion Island. Remote Sensing of Environment, 113 (10) : pp. 2052-2061.

Journal article ; Article de revue à facteur d'impact
[img] Published version - Anglais
Access restricted to CIRAD agents
Use under authorization by the author or CIRAD.
document_550711.pdf

Télécharger (689kB)

Quartile : Q1, Sujet : REMOTE SENSING / Quartile : Q1, Sujet : IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY / Quartile : Q1, Sujet : ENVIRONMENTAL SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Abstract : Time series of optical satellite images acquired at high spatial resolution is a potentially useful source of information for monitoring agricultural practices. However, the information extracted from this source is often hampered by missing acquisitions or uncertain radiometric values. This paper presents a novel approach that addresses this issue by combining time series of satellite images with information from crop growth modeling and expert knowledge. In a fuzzy framework, a decision support system that combines multi-source information was designed to automatically detect the sugarcane harvest at field scale. The formalism that we used deals with the imprecision of the data and the approximation of expert reasoning. System performances were analyzed using a time series of SPOT-5 images. Results obtained were in substantial agreement with ground truth data: overall accuracy reached 97.80% with stability values exceeding 89.21% for all decisions. The contribution of fuzzy sets to overall accuracy reached 15.08%. The approach outlined in this paper is very promising and could be very useful for other agricultural applications. (Résumé d'auteur)

Mots-clés Agrovoc : Saccharum, Récolte, système d'aide à la décision, Modélisation des cultures, Télédétection, Système expert, Imagerie par satellite, Image spot, Modèle mathématique

Mots-clés géographiques Agrovoc : Réunion

Classification Agris : U10 - Mathematical and statistical methods
U40 - Surveying methods
F01 - Crop husbandry

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • El Hajj Mahmoud, CEMAGREF (FRA)
  • Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
  • Guillaume Serge, CEMAGREF (FRA)
  • Martiné Jean-François, CIRAD-PERSYST-UPR SCA (REU)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/550711/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2020-11-30 ]