Soil Analysis Course

Lesson 1 • Soil Formation and Parent Material

Covers weathering processes and how parent material shapes soil properties. Establishes the geological baseline needed for all subsequent interpretation work.

Lesson 2 • Soil Horizons and Profile Description

Teaches identification of O, A, B, C, and R horizons in the field. Accurate profile description is the core skill for site assessment and classification.

Lesson 3 • Soil Classification Systems

Surveys major taxonomic frameworks used in professional practice. Understanding classification enables communication across disciplines and regulatory contexts.

Lesson 4 • Soil Texture and Structure

Explains particle size distribution and aggregate arrangement. Texture and structure directly control water movement, aeration, and root penetration.

Lesson 1 • Particle Size Analysis

Covers hydrometer and pipette methods for laboratory texture determination. Precise particle size data refine field texture estimates and support engineering classification.

Lesson 2 • Soil Water Content and Potential

Explains gravimetric, volumetric, and sensor-based moisture measurement. Water potential concepts link moisture data to plant availability and drainage design.

Lesson 3 • Bulk Density and Porosity

Covers core sampling, clod, and radiation methods for bulk density. Results quantify compaction and pore space available for water and air.

Lesson 4 • Soil Strength and Compaction

Addresses penetrometer, shear vane, and Proctor compaction testing. Strength data inform tillage management, traffic planning, and foundation suitability.

Lesson 1 • Organic Matter and Carbon Fractions

Addresses loss-on-ignition, Walkley-Black, and combustion methods for organic matter. Carbon fractions indicate soil health, water retention, and sequestration potential.

Lesson 2 • Soil pH and Buffer Capacity

Explains active and reserve acidity, measurement methods, and lime requirement. pH controls nutrient availability and microbial activity across all soil uses.

Lesson 3 • Macronutrient and Micronutrient Analysis

Teaches extraction methods and interpretation ranges for N, P, K, and trace elements. Nutrient data drive fertiliser recommendations and deficiency diagnosis.

Lesson 4 • Cation Exchange Capacity and Base Saturation

Covers CEC measurement, base saturation calculation, and their management implications. CEC determines nutrient retention capacity and fertiliser efficiency.

Lesson 1 • Sample Handling, Preservation, and Shipping

Addresses temperature, container, and holding-time requirements by analyte class. Improper handling degrades sample integrity and invalidates analytical results.

Lesson 2 • Sampling Objectives and Design Principles

Links sampling purpose to design choices including grid, random, and composite approaches. A clear objective prevents under-sampling and reduces analytical cost.

Lesson 3 • Soil Sampling Tools and Techniques

Covers probe, auger, spade, and core sampling equipment selection and use. Tool choice affects sample integrity, depth accuracy, and cross-contamination risk.

Lesson 4 • Quality Assurance in Field Sampling

Covers field blanks, duplicates, and equipment rinsate blanks for QA. QA data quantify sampling error and validate the representativeness of collected samples.

Lesson 1 • Sample Preparation and Pretreatment

Covers drying, grinding, sieving, and digestion procedures before analysis. Consistent preparation is the first control point for accurate and reproducible results.

Lesson 2 • Data Validation and Usability Assessment

Teaches systematic review of QC results against acceptance criteria. Validation flags qualified or rejected data before they enter interpretation workflows.

Lesson 3 • Reporting Units and Data Conversion

Addresses unit conversions between mg/kg, cmol/kg, meq/100g, and percent. Consistent units prevent misinterpretation when comparing results across laboratories.

Lesson 4 • Analytical Instrumentation Overview

Introduces ICP-OES, AAS, IC, and colorimetric analysers used in soil labs. Knowing instrument principles helps interpret detection limits and matrix interferences.

Lesson 1 • Irrigation Water and Soil Interaction

Covers leaching fraction, SAR of irrigation water, and salt accumulation risk. Soil hydraulic properties determine irrigation scheduling and system design.

Lesson 2 • Soil Suitability for Crop Selection

Evaluates texture, drainage, pH, and depth limitations against crop requirements. Matching crops to soil capability reduces input costs and yield risk.

Lesson 3 • Fertility Interpretation and Nutrient Budgeting

Links soil test results to crop nutrient requirements and fertiliser rates. Nutrient budgeting balances inputs against crop removal to sustain productivity.

Lesson 4 • Writing Agronomic Soil Reports

Teaches structure, language, and recommendation format for agronomic reports. Clear reports translate technical data into actionable guidance for farm managers.

Lesson 1 • Inorganic Contaminants in Soil

Addresses heavy metals, metalloids, and asbestos occurrence, mobility, and analysis. Speciation and background concentration data are essential for accurate risk assessment.

Lesson 2 • Contaminant Sources and Site History

Covers Phase I-style desktop review including historical maps, aerial photos, and records. Site history shapes the conceptual site model and guides sampling design.

Lesson 3 • Risk-Based Soil Screening and Criteria

Explains generic and site-specific screening levels derived from toxicological data. Screening levels prioritise sites and trigger further investigation or remediation.

Lesson 4 • Organic Contaminants in Soil

Covers petroleum hydrocarbons, chlorinated solvents, PAHs, and pesticides in soil. Volatility, sorption, and degradation govern exposure pathways and remediation options.

Lesson 1 • Geostatistics and Spatial Interpolation

Introduces variogram analysis, kriging, and inverse distance weighting for soil mapping. Spatial methods extend point data to continuous maps for decision support.

Lesson 2 • Multi-Parameter Data Integration

Combines physical, chemical, and biological data to resolve conflicting indicators. Integration skills distinguish expert practitioners from single-parameter analysts.

Lesson 3 • Remediation Option Evaluation

Compares excavation, stabilisation, bioremediation, and monitored natural attenuation. Option selection balances technical feasibility, cost, and risk reduction targets.

Lesson 4 • Soil Management Plans and Monitoring

Covers long-term monitoring design, trigger levels, and adaptive management protocols. Management plans ensure sustained compliance and document performance over time.