Soil Sampling Techniques Using QGIS.

About Course

In this tutorial you are going to learn how we can use QGIS to create a sampling campaign for contaminated soils. You are going to see some of the algorithms that QGIS can offer us to simplify the mathematical part of the probabilistic sample techniques.

Two are the main topics:

Probability samples: Probability sampling is defined as a sampling technique in which the researcher chooses samples from a population using a method based on the theory of probability. In this case, each member of the population has equal chance of being selected. Examples, Random sampling, Systematic sampling, stratified sampling and cluster sampling.
Non-Probability Samples: non-probability sampling is defined as a technique in which the researcher chooses samples from a population using a method based on the subjective judgement. Members of the population are selected in non random way. Example, convenience sampling.

Student will be able to create a soil sampling campaign using and free and open source software, QGIS.
Learn how to get satellite imagery of high resolution and how to georeferencing
Learn how to digitize facilities
Learn how to present the data in a map
Learn the different probabilistic sampling techniques
Learn the non-probabilistic techniques
Learn about contaminants an its behavior

Course Content

Lesson 1. Introduction.
This first lesson is going to be an introduction, where you are going to learn some of the elemental definitions about the population, the sample, and the types of sampling techniques. Also, you are going to see how to download a satellite image and create vectorial layers. At the end, we are going to discuss the importance of the spatial component in soil sampling

Introduction

26:18

Lesson 2. Non-probabilistic Sampling.
The main topic is convenience sampling. First, we are going to see how to digitize some petroleum facilities as vectorial layers. Then, we are going to discuss how we can define the sample population according to the contaminant and the potential area of contamination. We are going to see some of the criteria that we can use to select the proper place to pick up the samples. Later, we are going to label the samples and extract the UTM coordinates from the selected locations to create a proper attribute table. At the end, we are going to work on the map composition to create the showed map.

Lesson 3. Probability Sampling.
Today we are going to talk about the probability sampling using QGIS for potential contaminated soils. First, we are going to see how we can work with the Simple Random Sampling technique. We are going to learn two different ways of using this technique. Later, we are going to work on the Systematic Sampling technique. After that, we are going to be focus on the Stratified Sampling technique, where we are going to see a couple of examples. At the end, we are going to learn how to use the Cluster Sampling technique. During the video, we are going to discuss the pros and cons of each of these techniques.

Soil Sampling Techniques Using QGIS.

About Course

What Will You Learn?

Course Content

Introduction

Convenience Sampling

Simple Random Sampling , Systematic Sampling, Stratified Sampling and Cluster Sampling.

About Course

What Will You Learn?

Course Content

Introduction

Convenience Sampling

Simple Random Sampling , Systematic Sampling, Stratified Sampling and Cluster Sampling.

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