QGIS Mega Course- GIS and Remote Sensing- Beginner to Expert

QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert, available at $54.99, has an average rating of 4.16, with 76 lectures, based on 399 reviews, and has 3984 subscribers.

You will learn about Learn step by step about QGIS, its environment and interface using the latest long-lasting release in 2021 Learn how to install and configure QGIS, Get familiar with the interface of QGIS Learn the power of QGIS plug-ins and their applications: SCP, OTB, TrendsEarth, Google Earth Engine Plug-in and others Understand the basic to advance GIS concepts and analysis (both theory and practical analysis) Analyze spatial data (vector and raster data, satellite images) using QGIS 3.16 Learn the core GIS operations on vector and raster layers Conduct satellite image analysis in QGIS Learn how to visualize spatial data and how to create GIS maps in QGIS Learn how to work on geospatial projects in QGIS environment step-by-step Get introduced to Remote Sensing concepts and image analysis in QGIS Become expert in GIS analysis in QGIS This course is ideal for individuals who are Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field It is particularly useful for Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field.

Enroll now: QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert

Summary

Title: QGIS Mega Course: GIS and Remote Sensing- Beginner to Expert

Price: $54.99

Average Rating: 4.16

Number of Lectures: 76

Number of Published Lectures: 76

Number of Curriculum Items: 76

Number of Published Curriculum Objects: 76

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Learn step by step about QGIS, its environment and interface using the latest long-lasting release in 2021

Learn how to install and configure QGIS, Get familiar with the interface of QGIS

Learn the power of QGIS plug-ins and their applications: SCP, OTB, TrendsEarth, Google Earth Engine Plug-in and others

Understand the basic to advance GIS concepts and analysis (both theory and practical analysis)

Analyze spatial data (vector and raster data, satellite images) using QGIS 3.16

Learn the core GIS operations on vector and raster layers

Conduct satellite image analysis in QGIS

Learn how to visualize spatial data and how to create GIS maps in QGIS

Learn how to work on geospatial projects in QGIS environment step-by-step

Get introduced to Remote Sensing concepts and image analysis in QGIS

Become expert in GIS analysis in QGIS

Who Should Attend

Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field

Target Audiences

Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field

QGIS Mega Course: Unlock the Power of GIS and Remote Sensing – Journey from Novice to Expert

Are you eager to harness the capabilities of GIS and spatial analysis for your work but feel lost when it comes to applying these analyses and selecting the right software?

Have you found GIS books and QGIS manuals to be less practical and yearn for a course that not only explains concepts but also guides you through a real-world GIS project?

Welcome to the enlightening QGIS Mega Course: GIS and Remote Sensing – Your Path from Novice to Expert. This course is your comprehensive roadmap to mastering GIS and Remote Sensing, using the latest version of the open-source software QGIS.

Course Highlights:

In this course, I will personally lead you through the implementation of GIS and Remote Sensing analyses within the cutting-edge QGIS platform. You will gain the skills to immediately utilize vector and raster data, as well as satellite imagery, for your professional work and Remote Sensing projects.

I will meticulously instruct you on how to navigate the popular open-source QGIS software, along with its remarkable tools and plug-ins, taking you from a beginner to an expert in GIS analysis.

Quantum GIS (QGIS) is an open-source Geographic Information System that accommodates a wide array of geospatial vector and raster file formats, as well as database structures. It boasts extensive GIS capabilities, encompassing diverse mapping features and data editing functionalities, enabling advanced global-scale analysis and visualization.

Course Objectives:

By the end of this extensive 7-hour course, you will have achieved the following:

Master the installation of QGIS and proficiently utilize its essential plug-ins, including Semi-Automatic Classification Plug-in (SCP), TrendsEarth, Google Earth Engine plug-in, SAGA, and OTB processing toolboxes.

Develop a profound comprehension of the fundamentals of GIS and Remote Sensing, delving into their core components.

Gain comprehensive knowledge of fundamental and advanced GIS data operations, spanning vector and raster data, as well as satellite imagery. You will acquire the skills necessary to execute GIS projects confidently.

Dive into QGIS to perform image preprocessing, calculate spectral indices, conduct land use and land cover classifications using Machine Learning algorithms, and visualize GIS data effectively to create informative maps for your reports.

And much more!

Ideal Audience:

This course caters to professionals across various domains, including geographers, programmers, social scientists, geologists, GIS & Remote Sensing experts, and anyone seeking to harness the power of maps in their field. It is tailored to those eager to expand their knowledge of geospatial analysis and satellite Remote Sensing within the QGIS ecosystem.

Practical Hands-On Experience:

Integral to this course are the practical exercises. You will receive precise instructions, downloadable materials, scripts, and datasets that will empower you to create maps and conduct geospatial analyses seamlessly using the QGIS software.

Seize the opportunity to embark on this transformative journey and enroll now. Unleash your potential and pave the way to becoming a GIS professional of tomorrow!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Motivation: Applications of GIS

Chapter 2: Getting started with QGIS – installation & QGIS interface

Lecture 1: QGIS – open source GIS software – an absolute leader in the free market

Lecture 2: Installing QGIS on your PC – versions of QGIS

Lecture 3: Lab 1: QGIS installation

Lecture 4: A note on QGIS versions and its plug-ins

Lecture 5: QGIS interface: Toolbars

Lecture 6: QGIS Plugi-Ins

Chapter 3: Introduction to GIS analysis in QGIS

Lecture 1: What is Geographic Information System (GIS)?

Lecture 2: Basics of Geodata and its main types

Lecture 3: Adding vector layer to QGIS

Lecture 4: Visualization of vector layers in QGIS

Lecture 5: Adding and visualizing raster files in QGIS 3.16

Lecture 6: Saving the project in QGIS

Lecture 7: GIS data sources – learn where to find the GIS data

Chapter 4: Core Vector Analysis Part 1: Table Opeerations

Lecture 1: Reading in non-spatial type of data & converting it to vector data

Lecture 2: Reading in Excel Files & Joining Attribute Tables

Lecture 3: Attribute Tables of vector data sets

Lecture 4: Attribute Table Operations: Select Feautures

Lecture 5: Attribute Table Operations: Compute and add geometry attributes (area, P)

Lecture 6: Editing Attribute Tables

Lecture 7: Adding new columns / Recalculating fields in attribute tables / Field Calculator

Chapter 5: Basics of map layouts in QGIS and geovisualization

Lecture 1: Visualization with quick settings in QGIS and Open street map

Lecture 2: Lab: Your First GIS Map in QGIS

Lecture 3: Color advice for cartography and GIS maps

Chapter 6: Core Vector Analysis Part 2: Vector Overlay, Buffer zones, Distance Operations

Lecture 1: Theory: Core Vector Analysis Part 1

Lecture 2: Theory: Core Vector Analysis Part 1

Lecture 3: Buffering in QGIS

Lecture 4: Creating a Variable Distance Buffer

Lecture 5: Vector Overlay: Erase

Lecture 6: Vector Overlay: Union

Lecture 7: Vector Analysis: Geometry Tools

Lecture 8: Vector Analysis: Area Calculation & Field Statistics

Chapter 7: Core Raster Analysis

Lecture 1: Theory on Raster Analysis: Local Operations

Lecture 2: Adding raster layers to QGIS project

Lecture 3: Compute Topographical variables with the DEM raster layer

Lecture 4: Compute Topographical variables with the DEM raster layer: Slope & Aspect

Lecture 5: Reclassify Rasters with SAGA Toolbox in QGIS

Lecture 6: Resampling raster data in QGIS

Lecture 7: Advance raster overlay operations with SAGA Toolbox

Lecture 8: Filtering raster data: Low Pass filter

Chapter 8: Raster Data Analysis – Project-based Example

Lecture 1: Introduction to the project task

Lecture 2: Calculate the Slope

Lecture 3: Removing decimal values from a raster layer

Lecture 4: Raster Calculation: Calculate cost of building construction

Lecture 5: Adding new field to vectors attribute table

Lecture 6: Convert Vector to Ratser

Lecture 7: Distance operations: Calculate proximity from the raster layer

Lecture 8: Raster Multiplication: Scalar Value Multiplication

Lecture 9: Raster Overlay: Adding two rasters

Lecture 10: Raster Overlay: Masking out one raster layer by another

Chapter 9: Core Remote Sensing Image Analysis in QGIS

Lecture 1: What is Remote Sensing

Lecture 2: Applications of Remote Sensing

Lecture 3: What is Remote Sensing Image?

Lecture 4: Insalling Semi-Automatic Classification Plug-in

Lecture 5: Lab: Download satellite image with the Semi-Automatic Classification Plugin

Lecture 6: Resolution types of Satellite Image

Lecture 7: Image Disaply (Image Composites)

Lecture 8: Planning Satellite Image Analysis Workflow

Lecture 9: Image Enhancement

Lecture 10: Calculation of spectral indices: NDVI

Lecture 11: Image thresholding & visualisation: example of NDVI

Lecture 12: Making a map layout in QGIS: Example of NDVI

Chapter 10: Satellite Image Classification in QGIS

Lecture 1: Basics of Satellite Image Classification

Lecture 2: Lab: Unsupervised Image Classification in SCP

Lecture 3: Image classification: basics of land use / land cover mapping

Lecture 4: LULC results visualization in QGIS

Lecture 5: Create your LULC map in QGIS

Chapter 11: Plug-Inns Power of QGIS

Lecture 1: Introduction to the section

Lecture 2: Overview of OTB

Lecture 3: Google Earth Engine Plug-In

Lecture 4: Trends.Earth Plugin for QGIS

Lecture 5: Installation of Trends.Earth Plugin

Lecture 6: Registration for Trends.Earth Plugin

Lecture 7: Where to get help on Trends.Earth

Lecture 8: BONUS

Instructors

Kate Alison
GIS & Data Science

Rating Distribution

1 stars: 6 votes

2 stars: 12 votes

3 stars: 64 votes

4 stars: 132 votes

5 stars: 185 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!