Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland-Reference-Cited by-同舟云学术

Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland

Published:2021-12 Issue: Volume:27 Page:e00437
ISSN:2352-0094
Container-title:Geoderma Regional
language:en
Short-container-title:Geoderma Regional

Author:

Baltensweiler Andri,Walthert Lorenz,Hanewinkel Marc,Zimmermann Stephan,Nussbaum Madlene

Publisher

Elsevier BV

Subject

Soil Science

Reference112 articles.

1. Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst;Abbott,2014

2. Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape Geoderma;Ågren,2021

3. Forstliche Standortsaufnahme. Begriffe, Definitionen, Einteilungen, Kennzeichnungen, Erläuterungen;AK SK (Arbeitskreis Standortskartierung),2016

4. Ensemble forecasting of species distributions;Araujo;Trends Ecol. Evol.,2007

5. GlobalSoilMap: toward a fine-resolution global grid of soil properties;Arrouays;Adv. Agron.,2014

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