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• W2011543521 abstract "► We present an object based orthophoto analysis approach for delineating stands. ► We proposed a new “ OFA - matrix ” to assess thematic and spatial accuracy together. ► Its diagonal shows this coincidence between the reference and the classification. ► New parameters are proposed to summarise the OFA-matrix . ► Good spatial and thematic accuracies (>65%) are obtained for almost all the stands. The delineation and classification of forest stands is a crucial aspect of forest management. Object-based image analysis (OBIA) can be used to produce detailed maps of forest stands from either orthophotos or very high resolution satellite imagery. However, measures are then required for evaluating and quantifying both the spatial and thematic accuracy of the OBIA output. In this paper we present an approach for delineating forest stands and a new Object Fate Analysis (OFA) matrix for accuracy assessment. A two-level object-based orthophoto analysis was first carried out to delineate stands on the Dehesa Boyal public land in central Spain (Avila Province). Two structural features were first created for use in class modelling, enabling good differentiation between stands: a relational tree cover cluster feature, and an arithmetic ratio shadow/tree feature. We then extended the OFA comparison approach with an OFA-matrix to enable concurrent validation of thematic and spatial accuracies. Its diagonal shows the proportion of spatial and thematic coincidence between a reference data and the corresponding classification. New parameters for Spatial Thematic Loyalty ( STL ), Spatial Thematic Loyalty Overall (STL OVERALL ) and Maximal Interfering Object (MIO ) are introduced to summarise the OFA-matrix accuracy assessment. A stands map generated by OBIA (classification data) was compared with a map of the same area produced from photo interpretation and field data (reference data). In our example the OFA-matrix results indicate good spatial and thematic accuracies (>65%) for all stand classes except for the shrub stands (31.8%), and a good STL OVERALL (69.8%). The OFA-matrix has therefore been shown to be a valid tool for OBIA accuracy assessment." @default.
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• W2011543521 date "2012-10-01" @default.
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• W2011543521 title "Spatial and thematic assessment of object-based forest stand delineation using an OFA-matrix" @default.
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• W2011543521 doi "https://doi.org/10.1016/j.jag.2012.05.007" @default.
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