Development and Use of Soil Maps and Databases in China

2011 ◽  
pp. 760-775
Keyword(s):  
Soil Maps

THE IMPORTANCE OF THE RED BOOK OF SOILS FOR MONITORING AND JUSTIFICATION OF CONSERVATION MEASURES

2020 ◽  
Author(s):  
O.S. Bezuglova ◽  
Keyword(s):  
Chemical Properties ◽  
Natural State ◽  
Soil Maps ◽  
Rostov Region ◽  
Conservation Measures ◽  
Background Data ◽  
The Russian Federation ◽  
Physical And Chemical ◽  
And Chemical Properties

Rostov Region belongs to the highly protected natural territories characterized by the continuous plowing. There territories are the only reserves with the soils preserved in their natural state. However, these areas often lack detailed information about the soils quality and composition. Surveying soils on these territories is crucial for determination of their basic physical and chemical properties. The resulted compilation of soil maps could lay a foundation for creating the Red Book of Soils and the formation of a section in the soil-geographical database of the Russian Federation. Subsequently, such information can be used as a background data for the main types of soils in the region. It will be also valuable during monitoring and justification of conservation measures.

Solving existing problems with soil maps in Ukraine

2018 ◽  
Vol 10 (1) ◽  
pp. 94-102
Author(s):  
V Cherlinka ◽  
◽  
Y Dmytruk ◽  
Keyword(s):  
Soil Maps ◽  
Existing Problems

Digital soil maps can perform as well as large-scale conventional soil maps for the prediction of catchment baseflows

Geoderma ◽  
2021 ◽  
Vol 400 ◽  
pp. 115230
Author(s):  
Zisis Gagkas ◽  
Allan Lilly ◽  
Nikki J. Baggaley
Keyword(s):  
Large Scale ◽  
Soil Maps ◽  
Digital Soil Maps

Disaggregating conventional soil maps with limited descriptive data: A knowledge-based approach in Serra Gaúcha, Brazil

2017 ◽  
Vol 8 ◽  
pp. 12-23 ◽  
Author(s):  
Eliana Casco Sarmento ◽  
Elvio Giasson ◽  
Eliseu José Weber ◽  
Carlos Alberto Flores ◽  
Heinrich Hasenack
Keyword(s):  
Soil Maps ◽  
Descriptive Data ◽  
Knowledge Based

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

2021 ◽  
pp. e00437
Author(s):  
Andri Baltensweiler ◽  
Lorenz Walthert ◽  
Marc Hanewinkel ◽  
Stephan Zimmermann ◽  
Madlene Nussbaum
Keyword(s):  
Machine Learning ◽  
Soil Properties ◽  
Soil Maps ◽  
Forested Area ◽  
Wide Range

scholarly journals Compilation of novel and renewed, goal oriented digital soil maps using geostatistical and data mining tools

2015 ◽  
Vol 64 (1) ◽  
pp. 49-64 ◽  
Author(s):  
László Pásztor ◽  
Annamária Laborczi ◽  
Katalin Takács ◽  
Gábor Szatmári ◽  
Endre Dobos ◽  
...  
Keyword(s):  
Data Mining ◽  
Soil Maps ◽  
Mining Tools ◽  
Digital Soil Maps

Spatial Variability of Soil Salinization as Judged from the Comparison of Soil Maps and Remote Sensing Materials for Different Years in Uzbekistan

2012 ◽  
pp. 127-139 ◽  
Author(s):  
Dmitry I. Rukhovich ◽  
Polina V. Koroleva ◽  
Yekaterina V. Vil’chevskaya ◽  
Natalia V. Kalinina ◽  
Galina I. Chernousenko ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Variability ◽  
Soil Salinization ◽  
Soil Maps
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