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Fractional cover data retrieval using eCognition
Wellens, Joost; Denis, Antoine
2012
 

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Keywords :
eCognition; Fractional cover; AquaCrop; Assess; Classification; Maize; Cabbage
Abstract :
[en] For the overall calibration and validation of the AquaCrop model decent information on the development of the canopy cover is crucial. Throughout the growing season overhead canopy pictures were taken. Different image treatment programs have been evaluated on their capacity to retrieve the fractional cover data from these images. The findings are presented in this technical note. The objectives (and/or constraints) were manifold: - determine for each image the percentage of canopy cover of the monitored crop (maize or cabbage); - in case of mixed-cropping, calculate a separate canopy cover for each crop; - weeds are to be excluded; - mask all non-desired items (camera operator, field borders, …).
Research center :
Projet GEEAU
Université de Liège (ULiège)
Disciplines :
Agriculture & agronomy
Author, co-author :
Wellens, Joost  ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)
Denis, Antoine  ;  Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.)
Language :
English
Title :
Fractional cover data retrieval using eCognition
Publication date :
18 May 2012
Publisher :
Projet GEEAU, Bobo-Dioulasso, Burkina Faso
Number of pages :
8
Name of the research project :
Renforcement des capacités à concevoir et à mettre en oeuvre des outils de gestion de l'eau à usage agricole - Burkina Faso
Funders :
APEFE - Association pour la Promotion de l'Éducation et de la Formation à l'Étranger [BE]
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since 23 February 2014

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