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“Theoretical and practical foundations of digital soil cartography” - course 25,000 rubles. from MSU, training 4 weeks. (1 month), Date: November 30, 2023.
Miscellaneous / / December 03, 2023
Program volume (academic hours): 72 hours (32 classroom hours)
Form of study: full-time, distance learning
Dates of classes: as groups are recruited (small groups, from 5 people)
Admission requirements: higher professional education or secondary specialized education
Program Manager: Martynenko Irina Anatolyevna, Email: [email protected], tel.8 (495) 939-55-87
Responsible for additional education: Timofeeva Elena Aleksandrovna,
Email: [email protected], tel. 8 (903) 22-33-99-2, 8(495)939-22-33
If necessary, the program can be adapted to the customer’s requirements - expanded, removed, or the necessary topics added to the curriculum of the additional education program
Who will benefit from this course?
The course is designed for specialists in the field of soil mapping, soil data management, agricultural management, soil and land assessment, soil conservation, as well as all interested parties.
What will you learn?
Upon completion of the training, course participants will master the skills of creating digital soil maps based on the analysis of soil-landscape relationships. They will master software products widely used in the field of modern soil mapping (ArcGIS and R) and learn how to use them in soil mapping methods of inverse distances, ordinary, indicator, regression kriging, random forest, support vector machines, multivariate logistic regression. They will be able to implement all stages of creating digital soil maps from data collection and development of spatial models to assessing the accuracy of the resulting maps. Students will gain skills in spatial analysis of soil data based on advanced methods of digital soil mapping with application of GIS technologies and the R software environment for the purpose of managing, monitoring and mapping soil cover and properties soil
In what format does it take place?
The course consists of alternating theoretical lectures with computer workshops. Advanced training ends with final certification in the form of a qualifying exam. Upon successful completion of the training, students are issued a standard certificate of advanced training
1 Introduction to Digital Soil Mapping
1.1 History and development of digital soil mapping
2 Mathematical basis of digital soil maps
2.1 The concept of the mathematical basis of maps. Geodetic basis. Specifics of the digital map scale.
2.2 Classifications of map projections.
3 Sources for creating digital soil maps.
3.1 Sources of data on soils, climate, vegetation, soil-forming rocks. Accounting for soil age in the CPC.
3.2 Sources of terrain data.
4 Digital analysis of terrain and remote data
4.1 Morphometric analysis of relief.
4.2 Basic parameters calculated based on a digital elevation model
5 Analysis and assessment of the quality of cartographic sources and digital soil maps
6 Methods for field sampling and data preparation for the CPC
6.1 Basic methods of field soil testing for CPC purposes.
6.2 Data preparation for CPC purposes
7 Construction of interpolation and probabilistic maps of individual soil properties
7.1 Creation of interpolation maps from point data using kriging methods.
7.2 Probabilistic mapping
7.3 Interpolation using point data on soil properties in the R software environment
8 Creation of soil class maps based on the analysis of soil-landscape relationships
8.1 Algorithms and stages of classification with training
8.2 Creation of soil maps using CPC methods in the R software environment
final examination - exam
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