%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Raclot, Damien
%A Colin, F.
%A Puech, C.
%T Updating land cover classification using a rule-based decision system
%D 2005
%L fdi:010047209
%G ENG
%J International Journal of Remote Sensing
%@ 0143-1161
%M CC:0002289575-0003
%N 7
%P 1309-1321
%R 10.1080/01431160512331326774
%U https://www.documentation.ird.fr/hor/fdi:010047209
%> https://www.documentation.ird.fr/intranet/publi/depot/2009-07-20/010047209.pdf
%V 26
%W Horizon (IRD)
%X This paper proposes a land cover classification methodology in agricultural contexts that provides satisfactory results with a single satellite image per year acquired during the growing period. Our approach incorporates ancillary data such as cropping history (inter-annual crop rotations), context ( altitude, soil type) and structure ( parcels size and shape) to compensate for the lack of radiometric data resulting from the use of a single image. The originality of the proposed method resides in the three successive steps used: S1: per-pixel classification of a single SPOT XS image with a restricted number of land cover classes (RL) chosen to ensure good accuracy; S2: conversion of RLs into a per-parcel classification system using ancillary parcel boundaries; and S3: parcel allocation using exhaustive land cover classes (EL) and its refinement through the application of decision rules. The method was tested on a 120 km(2) area (Sousson river basin, Gers, France) where exhaustive knowledge of land cover for two successive years allowed complete validation of our method. It allocated 87% of the parcels with a 75% accuracy rate according to the exhaustive list ( EL). This is a satisfactory result obtained with one SPOT XS image in a small agricultural parcel context.
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