QGIS & Google Earth Engine for Environmental Applications

Conduct applied spatial analysis (Remote Sensing & GIS) for Environmental Applications in QGIS & Google Earth Engine

4.35 (245 reviews)
Udemy
platform
English
language
Other
category
instructor
2,510
students
6 hours
content
Nov 2023
last update
$64.99
regular price

What you will learn

Students will gain access to and a thorough knowledge of the QGIS, TrendsEarth and Google Earth Engine platform

To apply a range of environmental & time series analysis in QGIS and Earth Engine

Implement land degradation mapping, flood monitoring, land cover analyis and more on the cloud

Get introduced and advance JavaScript skills on Google Earth Engine platform

Learn basics of Remote Sensing and how to apply Remote Sensing analysis in open-source tools

You'll have a copy of the codes used in the course for your reference

Complete your independent environmental application project using geospatial approaches in QGIS and Google Earth Engine

Description

Mastering Environmental Geospatial Analysis with QGIS & Google Earth Engine

Welcome to this transformative course that will propel your geospatial analysis skills to new heights, focusing on environmental and land applications using QGIS and Google Earth Engine.

Course Highlights:

Designed to elevate users with basic geospatial data/GIS/Remote Sensing knowledge, this course empowers you to perform advanced environmental analysis. You'll tackle critical tasks such as land degradation monitoring, flood mapping, land cover change monitoring, and land productivity assessment, all with the aid of Big Data and the cloud. This dynamic journey leverages the capabilities of both QGIS and Google Earth Engine, equipping you with cutting-edge skills that will set you apart.

Moreover, this course delves into the computation of sustainable development goals (SDG) indicators using the TrendsEarth plugin in QGIS. It also introduces you to user-friendly cloud computing through EO-browser, ensuring a comprehensive learning experience.

What You Will Learn:

This course equips you with the theoretical and practical knowledge required for applied geospatial analysis, particularly in Remote Sensing and Geographic Information Systems (GIS). You will gain proficiency in:

  • Foundational Remote Sensing principles within open-source tools (QGIS and Google Earth Engine).

  • Basics of JavaScript for geospatial analysis on the Google Earth Engine cloud platform.

  • Working fluently with open-source GIS software and tools, including QGIS, Google Earth Engine, Trends. Earth, and the Semi-Automated Classification Plugin.

  • Conducting GIS and Remote Sensing analyses for various environmental applications, such as land degradation monitoring, flood mapping, land cover change monitoring, and more.

Course Objectives:

By the course's conclusion, you will possess the confidence to:

  • Master the basics of Remote Sensing and JavaScript for spatial analysis within QGIS and Earth Engine.

  • Implement practical environmental applications seamlessly on the Google Earth Engine cloud platform, utilizing Big Data.

  • Execute geospatial analyses efficiently in QGIS, enhanced by the Trends. Earth plugin.

  • Competently apply geospatial analysis with open-source and free software tools.

Practical Hands-On Experience:

Integral to this course are practical exercises. You will receive precise instructions, codes, and datasets that will empower you to conduct advanced geospatial analysis using Google Earth Engine.

Course Inclusions:

Upon enrolling, you will gain access to all course data, along with scripts and future resources. Seize this opportunity to excel in environmental geospatial analysis with QGIS and Google Earth Engine. Join us on this transformative journey today!

Content

Introduction

Introduction
Course Motivation - Sustainable Development Agenda
EO for environmental applications and sustainable development

Introduction to software used in this course: QGIS and Google Earth Engine

About open-source QGIS software
Lab 1: QGIS installation
Trends.Earth Plugin for QGIS
Installation of Trends.Earth Plugin
Why to work with Google Earth Engine?
Lab: Sign up for Google Earth Engine

Remote Sensing Crash Course

Section Overview
Introduction to satellite images
Sensors and Platforms
How to work with the Remote Sensing images: preprocessing
Installation of Semi-Automated LCassification PlugIn
Lab 2: Layerstacking, True and False Colour composites
Lab 3: Image preprocessing - atmospheric correction
Sources of Remote Sensing images for LULC mapping

QGIS for Land Applications & Indicators assessment

Introduction to sustainable agenda and Land Degradation
Register in Trends.Earth Plugin
Downloading geospatial data with Trends.Earth Plugin -Example of Land Cover Data
How to load downloaded data to QGIS - Example of Land Cover Product from ESA
Where to get help on Trends.Earth
Lab: Land degradation assessment in QGIS with Trends.Earth - Hands-On
Computation of SDG 15.3.1 Land Degradation Indicator, statistics & reporting
Time series trend analysis with NDVI MODIS data in QGIS
Your Independent Project

Basics of Jave Scrips for Google Earth Engine and first steps in image analysis

Interface of Google Earth Engine: Code Editor & Explorer
Lab: Introduction to Javascript
Lab: Declaring variables in Javascript in GEE
Lab: Mapping and Reducing Collection - Landsat Example
Lab: Working with image collections and image visualization
Lab: Image Calculations - Create a composite and calculate NDVI
Lab: Short introduction to functions - Maximum NDVI Example
Lab: Export image data from Google Earth Engine

Environmental Applications on the cloud: Google Earth Engine & EO browser

Using EO browser for image download, spectral indices & land cover analysis
Working with spatial data and remote sensing images - repeat
Floods mapping Part 1 - Image preprocessing
Using NDWI for flood monitoring
Flood Mapping Part 2: NDWI
Assignment: Flood Mapping
BONUS

Screenshots

QGIS & Google Earth Engine for Environmental Applications - Screenshot_01QGIS & Google Earth Engine for Environmental Applications - Screenshot_02QGIS & Google Earth Engine for Environmental Applications - Screenshot_03QGIS & Google Earth Engine for Environmental Applications - Screenshot_04

Reviews

Jassica
March 30, 2023
Its a complicated course especially the python errors that occur while using trends earth again and again. I asked helped from instructor several time but there is no response which is disappointing.
Lilit
February 23, 2023
this is the best course I have ever taken being able to understand every amazing GIS concept. She is explaining all the deeper concepts that are required to be understood.
Anastasia
February 22, 2023
Great course: The instructor has a knack for explaining novel concepts in Remote Sensing in the simplest possible way.
Yuriy
June 26, 2022
Absolutely amazing course in Google Earth Engine and QGIS for environmental applications in Remote Sensing and GIS - great instructor!!
Yuriy
February 14, 2022
Absolutely amazing course in Earth Engine and QGIS for environmental applications - great instructor!
Olha
February 12, 2022
That’s another brand new and amazing course from the instructor. It covers the part of the application, showing how geospatial analysis could be done in QGIS and Earth Engine! Very exciting content.
Stefanie
February 12, 2022
Great content, I learned a lot about both QGIS and Google Earth Engine. This definitely will help me in my studies at the Uni.
Viktoriya
January 13, 2022
Very good course. The instructor provides a lot of different examples of how to work with and process remotely sensed data using Google Earth Engine.
Katerina
January 11, 2022
The course is going great so far for me. I look forward to completing it and getting support later also.
Ekaterina
January 11, 2022
I already had some knowledge of Java Script. This course helped me a lot to increase my productivity in GEE. It was/is totally useful to me. Thanks for that.
Yuriy
October 19, 2021
That is very informative course that covers different applications in QGIS and Google Earth Engine. Indeed a unique course on Udemy!
Екатерина
September 20, 2021
The course contains valuable information about the importance of GEE for GIS spatial data and remote sensing.
James
July 5, 2021
Yes. I used QGIS in infrastructure jobs: it helps a lot to explain to clients via maps progress being made in certain aspects of environmental, especially for places like the middle-east on international road jobs.
Светлана
May 11, 2021
Great course: The instructor has a knack for explaining novel concepts in Remote Sensing in the simplest possible way.
Елена
May 10, 2021
this is the best course I have ever taken being able to understand every amazing GIS concept. She is explaining all the deeper concepts that are required to be understood.

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3810274
udemy ID
1/29/2021
course created date
2/11/2021
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