Test of statistical means for the extrapolation of soil depth point information using overlays of spatial environmental data and bootstrapping techniques-Reference-Cited by-同舟云学术

Test of statistical means for the extrapolation of soil depth point information using overlays of spatial environmental data and bootstrapping techniques

Published:2009-10-15 Issue:21 Volume:23 Page:3017-3029
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Dahlke Helen E.,Behrens Thorsten,Seibert Jan,Andersson Lotta

Publisher

Wiley

Subject

Water Science and Technology

Reference74 articles.

1. SWAT2000: current capabilities and research opportunities in applied watershed modelling;Arnold;Hydrological Processes,2005

2. Investigation hydrologic scaling: observed effects of heterogeneity and nonlocal processes across hillslope, watershed, and regional scales;Arrigo;Water Resources Research,2005

3. Soil variability: a review;Beckett;Soils and Fertilizers,1971

4. Behrens T. 2003. Digitale Reliefanalyse als Basis von Boden-Landschaftsmodellen am Beispiel der Verbreitungssystematik periglaziärer Lagen in deutschen Mittelgebirgen. Dissertation, Justus Liebig Universität, Giesen.

5. Digital soil mapping using artificial neural networks;Behrens;Journal of Plant Nutrition and Soil Science,2005

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