Digital soil mapping using artificial neural networks-Reference-Cited by-同舟云学术

Digital soil mapping using artificial neural networks

Published:2005-02 Issue:1 Volume:168 Page:21-33
ISSN:1436-8730
Container-title:Journal of Plant Nutrition and Soil Science
language:en
Short-container-title:Z. Pflanzenernähr. Bodenk.

Author:

Behrens Thorsten,Förster Helga¹,Scholten Thomas¹,Steinrücken Ulrich²,Spies Ernst‐Dieter³,Goldschmitt Michael³

Affiliation:

1. Institute of Geography, Department of Physical Geography and Soil Science, Friedrich Schiller University of Jena, D‐07743 Jena, Germany

2. BoNa – Ingenieurbüro für Boden‐ und Naturschutz, D‐66265 Heusweiler, Germany

3. Landesamt für Geologie und Bergbau Rheinland‐Pfalz, D‐55133 Mainz, Germany

Publisher

Wiley

Subject

Plant Science,Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.200421414

Reference66 articles.

1. AG Boden(1994): Bodenkundliche Kartieranleitung. E. Schweizerbart'sche Verlagsbuchhandlung Stuttgart.

2. Behrens T.(2003): Digitale Reliefanalyse als Basis von Boden‐ Landschaftsmodellen am Beispiel der Verbreitungssystematik periglaziärer Lagen in deutschen Mittelgebirgen. PhD thesis Justus Liebig University Gießen.

3. Behrens T. Scholten T.(2002): DGMK 20+. Erstellung der Digitalen Geomorphographischen Karte für das Bundesland Rheinland‐Pfalz im Maßstabsbereich 1:25.000 bis 1:50.000 – Dokumentation. Geologisches Landesamt Rheinland‐Pfalz Mainz.

4. Behrens T. Kipka H. Schmidt K. Scholten T.(2004): Postprocessing of predicted digitial soil maps using learning vector quantization in preparation.

5. A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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