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  • 1
    Online Resource
    Online Resource
    Berlin : Logos Verlag Berlin
    Keywords: Philosophy, Ancient-Historiography ; Philosophy, Ancient-Historiography ; Electronic books
    Description / Table of Contents: Intro -- 1 Einleitung -- 2 Die Grundlegung des politikê technê-Modells in den Frühdialogen -- 2.1 Euthydemos: Das hervorbringende und gebrauchende Wissen der königlichen Kunst -- 2.2 Exkurs: Der techné-Begriff Platons -- 2.3 Apologie: Die eigene Seelenbesserung und die Bedeutung der Philosophie -- 2.4 Kriton: Die politische Kunst und die moralische technê -- 3 Die Entfaltung des Modells der politischen Kunst in den Frühdialogen -- 3.1 Gorgias: Der philosophische Politiker als Experte der Seelenbesserung -- 3.2 Charmides: Das Wissen vom Guten und Schlechten -- 3.3 Laches: Der Fachmann der Seelenbehandlung -- 3.4 Menon: Die beiden Wege zur Tugend -- 3.5 Protagoras: Die sophia als hervorbringendes und gebrauchendes Wissen -- 3.6 Hippias I/II, Menexenos: Politik als Expertenwissen der Seelenbesserung -- 3.7 Exkurs: Alkiabiades I, Theages -- 4 Der Antrieb zur Seelenbesserung und das Ziel der Proleptik -- 4.1 Symposion: Das Schöne als Motivation zur Seelenbesserung im Gespräch -- 4.2 Phaidros: Die Bedeutung des erôs für die politikê technê -- 4.3 Politeia: Ein neues politisches Konzept oder Ziel der proleptischen Frühdialoge? -- 5 Die politikê technê im Spätwerk -- 5.1 Theaitetos, Sophistes: Das Verhältnis von Maieutik und Elenktik -- 5.2 Exkurs: Kleitophon, Xenophon, Politeia I -- 5.3 Politikos: Wenn der Philosoph Urlaub macht - Der zweite Weg -- 5.4 Nomoi: Hegemonie der Gesetze oder der Vernunft? -- 6 Schluss -- 7 Literatur -- 7.1 Textausgaben -- 7.2 Sekundärliteratur.
    Type of Medium: Online Resource
    Pages: 1 online resource (292 pages)
    ISBN: 9783832589752
    DDC: 180
    Language: German
    Note: Description based on publisher supplied metadata and other sources
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  • 2
    Publication Date: 2014-08-21
    Description: The forests of the Russian Taiga can be described as an enormous biomass and carbon reservoir. Therefore, they are of utmost importance for the global carbon cycle. Large-area forest inventories in these mostly remote regions are associated with logistical problems and high financial efforts. Remotely-sensed data from satellite platforms may have the capability to provide such huge amounts of information. This study presents an application-oriented approach to derive aboveground growing stock volume (GSV) maps using the annual large-area L-band backscatter mosaics provided by the Japan Aerospace Exploration Agency (JAXA). Furthermore, a multi-temporal map has been created to improve GSV estimation accuracy. Based on information from Russian forest inventory data, the maps were generated using the machine learning algorithm, RandomForest. The results showed the high potential of this method for an operational, large-scale and high-resolution biomass estimation over boreal forests. An RMSE from 55.2 to 63.3 m3/ha could be obtained for the annual maps. Using the multi-temporal approach, the error could be slightly reduced to 54.4 m3/ha.
    Electronic ISSN: 1999-4907
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by MDPI Publishing
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