Soil Database of 1:1,000,000 Digital Soil Survey and Reference System of the Chinese Genetic Soil Classification System

Soil Horizons ◽  
2004 ◽  
Vol 45 (4) ◽  
pp. 129 ◽  
Author(s):  
X. Z. Shi ◽  
D. S. Yu ◽  
E. D. Warner ◽  
X. Z. Pan ◽  
G. W. Petersen ◽  
...  
Keyword(s):  
Classification System ◽  
Reference System ◽  
Soil Classification ◽  
Soil Survey ◽  
Soil Database

scholarly journals Creating GIS on the pilot area of the Litoměřice district. From soil survey to international information systems

2010 ◽  
Vol 5 (No. 1) ◽  
pp. 10-20
Author(s):  
J. Sládková
Keyword(s):  
Information Systems ◽  
Statistical Methods ◽  
Classification System ◽  
Soil Classification ◽  
Soil Survey ◽  
Soil Map ◽  
Soil Information ◽  
Archive Data

The procedure of processing and utilising the soil information entering the SOTER system is tested on the pilot area of the Litoměřice district. The reliability of the archive data is examined, the archive data being updated by a new soil survey, modern (geo)statistical methods, and pedotransfer rules. Using the SOTER methodology, a soil map of the district with the scale of 1:50 000 has been developed. Proposals for the adjustments to the currently valid soil classification system are processed.

Major Arable Soils of the Tropics :A Descriptive Grouping Based on Clay Mineralogy

2003 ◽  
Author(s):  
Anthony S. R. Juo ◽  
Kathrin Franzluebbers
Keyword(s):  
Classification System ◽  
Clay Mineralogy ◽  
Soil Management ◽  
Soil Classification ◽  
Classification Systems ◽  
Soil Survey ◽  
Arable Soils ◽  
Soil Taxonomy ◽  
Detailed Interpretation ◽  
The Tropics

Several pedological soil classification schemes have been developed to classify soils worldwide based on morphological features, stage of weathering, and to some extent their chemical and physical properties. Three soil classification systems are commonly used as research and teaching tools in the tropics, namely, the USDA Soil Taxonomy classification, the FAO/UNESCO World Soil Legends, and the French soil classification system. Brazil, the country with the largest land area in the tropics, has its own national soil classification system. However, soil survey, classification, and interpretation are costly and time-consuming, and few countries in the tropics have completed soil maps that are at a scale detailed enough to be useful to farmers and land users. In the absence of soil information at state, county or farm level, the authors propose a simple descriptive grouping of major soils in the tropics based on clay mineralogy to facilitate discussion on soil management and plant production in the subsequent chapters of this book. Reference to the Soil Taxonomy classification will be made when such information is available. It should be pointed out that the main purpose of this technical grouping is to provide field workers, especially those who are less familiar with the various soil classification systems, with a simple framework for planning soil management strategies. It by no means replaces the national and international soil taxonomy and classification systems that are designed for communication among soil scientists and for more detailed interpretation of soil survey data and land-use planning. This technical scheme classifies major arable soils in the tropics into four groupings according to their dominant clay mineralogy. They are • kaolinitic soils • oxidic soils • allophanic soils • smectitic soils Kaolinitic soils are deeply weathered soils with a sand, loamy sand, or sandy loam texture in the surface horizon and a clayey B horizon (20-60%). Silt content is low (< 20%) throughout the profile. Kaolinite (> 90%) is the dominant mineral in the clay fraction. These soils have an effective CEC of less than 12 cmol/kg of clay in the lower B horizon. Kaolinitic soils have a relatively high bulk density, especially in the clayey subsoil horizons (> 1.40 Mg/m3). The structure of the subsoil horizons is usually massive or blocky.

CLASSIFICATION, MACROMORPHOLOGY AND CHEMICAL CHARACTERISTICS OF FOLISOLS FROM BRITISH COLUMBIA

1987 ◽  
Vol 67 (4) ◽  
pp. 765-778 ◽  
Author(s):  
C. A. FOX ◽  
C. TARNOCAI ◽  
R. TROWBRIDGE
Keyword(s):  
British Columbia ◽  
Key Words ◽  
Classification System ◽  
Organic Material ◽  
Soil Classification ◽  
Organic Soil ◽  
Soil Survey ◽  
Western Hemlock ◽  
Chemical Characteristics ◽  
Expert Committee

The Folisol great group within the Organic soil order was expanded by the Expert Committee on Soil Survey to include the subgroups Hemic, Humic, Lignic and Histic Folisols. Representative Folisols from the Coastal Western Hemlock biogeoclimatic zone in British Columbia were studied to document the macromorphology and chemical characteristics of these subgroups. A proposal for improving F and H horizon designations is also presented. This documentation and improvements to the classification system provide a better basis for the soil surveyor to recognize and account for thick accumulations (> 40 cm) of folic materials overlying mineral or peat materials as well as accumulations (> 10 cm) over rock or fragmental material. Key words: Folisols, organic material, soil classification, Organic soil order

scholarly journals Conversion of some soil types, subtypes, and varieties between the Taxonomic Classification System of Soils of the Czech Republic and the World Reference Base for Soil Resources

2010 ◽  
Vol 5 (No. 4) ◽  
pp. 172-185
Author(s):  
J. Sládková
Keyword(s):  
Czech Republic ◽  
Classification System ◽  
Agricultural Soils ◽  
Soil Classification ◽  
Soil Survey ◽  
Soil Types ◽  
Soil Resources ◽  
The Czech Republic ◽  
Reference Base ◽  
World Reference Base

The article illustrates the compatibility of the Czech Republic Taxonomic Soil Classification System validated in the CR with the international World Reference Base for Soil Resources. It utilises the archive data on the soil types, subtypes, and varieties from the General survey of agricultural soils in the Czech Republic and soil profiles from new soil survey on the pilot area of Litoměřice district. It indicates the possibilities of the future refinement of both systems.

scholarly journals INFOSOIL - an information-reference system for soil recognition and classification in Russia

2015 ◽  
pp. 3-22
Author(s):  
V. A. Rozhkov ◽  
S. V. Rozhkova ◽  
P. V. Kravets ◽  
D. E. Konyushkov
Keyword(s):  
Classification System ◽  
Reference System ◽  
Soil Classification ◽  
Suggested Approach ◽  
Soil Features ◽  
State Register ◽  
New Information ◽  
Further Development ◽  
Information Reference

INFOSOIL is a new information-reference system aimed at elaborating purposeful classifications of soils by using a definite set of soil features. The stages and procedures of this system permit to determine the maximum number of objects taking into complete account their most informative features, the method and quality of objects grouping into classes as well as to recognize newly presented soils to be classified. This system should be named as a generator or engine of soil classifications developed for different purposes; it is based on the concept of enumeration classification, thus connecting a totality of soil features to meet requirements of the soil classification. The amount of features (classifier positions) determines the maximum number of objects and brings them in correspondence. It is shown how is realized the suggested approach in practice; the position of soils in the classification system is indicated. In this paper the first INFOSOIL version (www.infosoil) is presented to show the development of its real possibilities and accessibility for users and classification authors. In the system the interfaces are envisaged with the soil-geographical database, the State register of soil resources and the Soil map, 1: 2.5 M scale. In essence the system contains the soil classification system widely adopted now (2004), the automated guide to determine the soils (2008) and creates all the conditions for its further development. INFOSOIL has being elaborated as an intellectual information system that includes the MERON system, algorithm means to create new enumeration classifications as well as to use and study the available classifications.

Ecological niches of major soil types in Russia: Geographical aspects of the new Russian soil classification system

2009 ◽  
Vol 42 (9) ◽  
pp. 967-975 ◽  
Author(s):  
V. D. Tonkonogov ◽  
I. I. Lebedeva ◽  
M. I. Gerasimova ◽  
S. F. Khokhlov
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Soil Types ◽  
Ecological Niches ◽  
Russian Soil

Cross-Reference System for Translating Between Genetic Soil Classification of China and Soil Taxonomy

2006 ◽  
Vol 70 (1) ◽  
pp. 78-83 ◽  
Author(s):  
X. Z. Shi ◽  
D. S. Yu ◽  
E. D. Warner ◽  
W. X. Sun ◽  
G. W. Petersen ◽  
...  
Keyword(s):  
Reference System ◽  
Soil Classification ◽  
Soil Taxonomy ◽  
Cross Reference

Computerized Cone Penetration Test for Soil Classification

2008 ◽  
Vol 2053 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Murad Y. Abu-Farsakh ◽  
Zhongjie Zhang ◽  
Mehmet Tumay ◽  
Mark Morvant
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Cone Penetration Test ◽  
Classification Systems ◽  
Fuzzy Classification ◽  
Classification Methods ◽  
Penetration Test ◽  
Cone Penetration ◽  
Cone Tip Resistance ◽  
Tip Resistance

Computerized MS-Windows Visual Basic software of a cone penetration test (CPT) for soil classification was developed as part of an extensive effort to facilitate the implementation of CPT technology in many geotechnical engineering applications. Five CPT soil engineering classification systems were implemented as a handy, user-friendly, software tool for geotechnical engineers. In the probabilistic region estimation and fuzzy classification methods, a conformal transformation is first applied to determine the profile of soil classification index (U) with depth from cone tip resistance (qc) and friction ratio (Rf). A statistical correlation was established in the probabilistic region estimation method between the U index and the compositional soil type given by the Unified Soil Classification System. Conversely, the CPT fuzzy classification emphasizes the certainty of soil behavior. The Schmertmann and Douglas and Olsen methods provide soil classification charts based on cone tip resistance and friction ratio. However, Robertson et al. proposed a three-dimensional classification system that is presented in two charts: one chart uses corrected tip resistance (qt) and friction ratio (Rf); the other chart uses qt and pore pressure parameter (Bq) as input data. Five sites in Louisiana were selected for this study. For each site, CPT tests and the corresponding soil boring results were correlated. The soil classification results obtained using the five different CPT soil classification methods were compared.

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