Improved classification of Landsat Thematic Mapper data using modified prior probabilities in large and complex landscapes

Consequences of Environmental Service Payments for Forest Retention and Recruitment in a Costa Rican Biological Corridor

“…The categories used to analyze the land-cover changes detected were chosen based on recent landcover studies in northern Costa Rica (Pedroni 2003). Five forest categories were used for change detection analyses, including: (1) natural forest, i. e., closed canopy or selectively logged old-growth forest and natural palm swamps; (2) a charral phase of native shrub and herbaceous regeneration; (3) secondary forest dominated by regenerated native trees aged 15-20 yr; (4) tree plantations composed mainly of traditional single species exotic or native reforestation; and (5) riparian forest, i.e., linear forest arrangements along > second-order streams.…”

Remote sensing of floristic patterns in the lowland rain forest landscape

“…Unsurprisingly, it is one of the most commonly used classification methods in remote sensing studies of tropical forests (Trisurat et al 2000, Pedroni 2003, Thenkabail et al 2004). The k-nn method has been tested in the analysis of tropical vegetation only in papers I, II and IV, but is employed widely and also in operative use in satellite-imagebased forest inventories (Tomppo 1996, Nilsson 1997, Tomppo et al 1999, Gjertsen et al 2000, Franco-Lopez et al 2001, Tomppo et al 2001, Reese et al 2003, McInerney et al 2005, Koukal et al 2007, McRoberts et al 2007) and in land cover and non-forest/forest classifications (Franco-Lopez et al 2001, Haapanen et al 2004 in the boreal and temperate zone.…”

“…Land-cover mapping is one of the most common applications of remote sensing, whether at a global scale (Bartholome & Belward 2005, Mayaux et al 2005), a continental scale (Mayaux et al 1999, Roberts et al 2003, Eva et al 2004, Mayaux et al 2004, Stibig et al 2007) or a regional one (Pedroni 2003). In these studies the separation of vegetation classes was mainly based on the physiognomic characteristics of forests, on macro-climatic conditions and on topography.…”

Characterization of Briquettes Produced from Groundnut Shell and Waste Paper Admixture

“…No classification is completed until its accuracy has been assessed [18]. In this context, the "accuracy" means the level of agreement between labels assigned by the classifier and the class allocations on the ground collected by the user as test data.…”

“…Accordingly, maximum likelihood classifier is performed after specifying a set of training samples and a certain classification algorithm. The maximum likelihood decision rule is based on a normalized (Gaussian) estimate of the probability density function of each class [18]. This method quantitatively evaluates both the variance and covariance of the category spectral response patterns when classifying an unknown pixel.…”