"Hort, Libor" . . . "Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method"@en . . . "254027" . . "Vr\u0161ka, Tom\u00E1\u0161" . "RIV/00027073:_____/10:#0000864" . . "3" . "5"^^ . "129" . . . "Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method" . "The goal of this study is to develop a more objective, more complex and spatially explicit method for the determination and mapping of forest developmental stages and phases. We propose a new approach, based on local diameter distributions, presuming that their shape indicates the phase and trend of stand development. As input data, we used a stem position map of more than 18,500 trees in the Zofin natural forest (Czech Republic). Using focal filtering, we created local distributions of both live and dead tree counts and tree basal areas, across diameter classes, separately for every particular site in the stand and its circular surroundings (diameter of the moving filter was 21 m; mapping step 1 m). These distributions were then recognized by an artificial neural network and classified into pre-defined categories. Preliminary results indicate a classification accuracy of about 80% in distinguishing four developmental stages and above 68% in distinguishing eight developmental phases." . . "5"^^ . . "The goal of this study is to develop a more objective, more complex and spatially explicit method for the determination and mapping of forest developmental stages and phases. We propose a new approach, based on local diameter distributions, presuming that their shape indicates the phase and trend of stand development. As input data, we used a stem position map of more than 18,500 trees in the Zofin natural forest (Czech Republic). Using focal filtering, we created local distributions of both live and dead tree counts and tree basal areas, across diameter classes, separately for every particular site in the stand and its circular surroundings (diameter of the moving filter was 21 m; mapping step 1 m). These distributions were then recognized by an artificial neural network and classified into pre-defined categories. Preliminary results indicate a classification accuracy of about 80% in distinguishing four developmental stages and above 68% in distinguishing eight developmental phases."@en . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . "ANN classification; DBH distribution; Developmental stages and phases; Fagus sylvatica; Forest dynamics; Stem position map"@en . . . "Adam, Du\u0161an" . . . . "Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method" . "000277413500008" . . "13"^^ . . "Kr\u00E1l, Kamil" . . "European Journal of Forest Research" . . "P(SP/2D2/138/08), Z(MSM6293359101)" . "1612-4669" . . "Developmental phases in a temperate natural spruce-fir-beech forest: determination by a supervised classification method"@en . "\u0160amonil, Pavel" . . "RIV/00027073:_____/10:#0000864!RIV11-MZP-00027073" . . . . "[C6F33AB9B26C]" .