Udemy

Platform

English

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Science

Category

Satellite Remote Sensing Data Bootcamp With Opensource Tools

Pre-process and Analyze Satellite Remote Sensing Data With Free Software

4.65 (301 reviews)

Students

4 hours

Content

Oct 2018

Last Update
Regular Price


What you will learn

Download different types of satellite remote sesning data for free

Have thorough knowledge of remote sensing- theoretical concepts and applications

Implement pre-processing techniques using R and QGIS

Carry out unsupervised classification of satellite remote sesning data

Carry out supervised classification of satellite remote sesning data

Implement machine learning algorithms on satellite remote sensing data in R

Carry out habitat suitability mapping using remote sensing and machine learning

Use other freely avaliable software tools such as Google Earth Engine and SNAP for RS data analysis


Description

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING.

Are you currently enrolled in either of my Core or Intermediate Spatial Data Analysis Courses?

Or perhaps you have prior experience in GIS or tools like R and QGIS?

You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?

The next step for you is to gain profIciency in satellite remote sensing data analysis.

MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING DATA WITH OPEN SOURCE TOOLS!

My course provides a foundation to carry out PRACTICAL, real-life remote sensing analysis tasks in popular and FREE software frameworks with REAL spatial data. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.

Why Should You Take My Course?

I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life spatial remote sensing data from different sources and producing publications for international peer reviewed journals.

In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA  will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote  sensing can help us answer.

This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.

Remote sensing software tools are very expensive and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at a risk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasks using a number of popular, open source GIS tools such as R, QGIS, GRASS and ESA-SNAP.  All of which are in great demand in the geospatial sector and improving your skills in these is a plus for you.

This is an introductory course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and analyzing tasks in R, QGIS, GRASS and ESA-SNAP

You will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using FREE SOFTWARE.

In addition to all the above, you’ll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!

ENROLL NOW :)


Screenshots

Satellite Remote Sensing Data Bootcamp With Opensource Tools
Satellite Remote Sensing Data Bootcamp With Opensource Tools
Satellite Remote Sensing Data Bootcamp With Opensource Tools
Satellite Remote Sensing Data Bootcamp With Opensource Tools

Content

Introduction to Satellite Remote Sensing Data Analysis

Introduction to the Course and Instructor

Data Used in This Course

What is Remote Sensing?

Different Types of Remote Sensing Data

Different Tools for Working with Remote Sensing-Start with R and QGIS

Get Started with SNAP Toolbox-Brief Introduction

Get Started with GRASS GIS-Brief Introduction

Conclusions to Section 1

Section 1 Quiz

Introduction to Optical Remote Sensing Data

Principles Behind Collection of Optical Remote Sensing Data

Different Types of Optical Remote Sensing Data

Downloading and Viewing Landsat Data

Different Landsat Sensors

Downloading and Viewing Optical Data via QGIS

Conclusions to Section 2

Section 2 Quiz

Pre-Processing Optical Data

Why is Pre-Processing Needed for Optical Data?

Implementing Atmospheric Correction on Landsat Data in R

Higher Level Landsat Products

QGIS For Pre-Processing Landsat Data: Semi-Automatic Classification Plugin

Atmospherically Corrected Outputs from QGIS

What Can Pre-Processed Satellite Data Be Used For?

Conclusions to Section 3

Section 3: Quiz

The Many Uses of Optical Data

Rationale for this section

Stacking and Unstacking Bands in QGIS

Band Maths in R and QGIS

Texture Indices-Theory

Texture Indices-GRASS GIS

Texture Indices-ESA SNAP

Tasseled Cap Transformations-theory

Tasseled Cap Transformations-GRASS GIS

Vegetation Indices in GRASS GIS

Vegetation Indices using RStoolbox

Dimension Reduction-theory

Dimension Reduction-QGIS

Dimension Reduction-GRASS GIS

Conclusion to Section 4

Section 4 Quiz

Classification of Remote Sensing Satellite Data

Rationale Behind this Section

Theory of Unsupervised Classification

Unsupervised Classification-ESA SNAP

Theory of Supervised Classification

Supervised Classification in QGIS: Preliminary Steps

Classification and Post Classification Accuracy in QGIS

Machine Learning Theory

Create Training Data in QGIS

Apply Machine Learning Techniques on Satellite Data

Conclusion to Section 5

Section 5 Quiz

Introduction to Active Remote Sensing Data: Synthetic Aperture Radar

Why Use Active Remote Sensing Data?

Obtain ALOS PALSAR Data

Pre-processing of ALOS PALSAR data

Filtering for Speckles

Obtain back-scatter values from ALOS PALSAR data

Section 6 Quiz


Reviews

N
Namira15 August 2020

I really enjoyed the whole class and i understand each point.The instructor gave a wonderful class experience. Nice presentation. she makes difficult concepts understand easily.

N
Nafila15 August 2020

An amazing course if you are a beginner,everything is explained in a very easy manner and the tests help you to implement what you have learnt.

T
Tabu12 August 2020

Its a very good basic course for everybody. For ones who are new to satellite remote sensing and also for pro who want to brush up their skills. Its a must for everybody.

J
Jahid11 August 2020

Excellent course. Very cool teacher, perfect pronunciation (specially for non-native speakers), and very clear explanations. Totally satisfied.

S
Safia21 June 2020

Minerva explains everything in detail which i find great. This course worth every penny. I highly recommend it.

D
David17 February 2020

Algunos datos del curso descargados no coinciden con los de los videos del curso, hay cosas que quedan en el aire y no son explicadas.

S
Seann2 January 2020

The delivery of the lecture is a little stilted. Previous courses seem to have a more practiced feel. It is good to see the pitfalls of some of the methods (like the download of LandSat directly into QGIS) but I do not think that it was worth the time. Maybe just a statement at the end of lecture 11 or 12 stating the problems that may occur. There seems to be a disconnect between data sets used in demonstrations within lectures and data sets that are available in the drop box.

T
Topu22 November 2019

Extraordinary course for satellite remote sensing data. Tools are marvelous and very easy to use. Very knowledgeable course.

F
Fayssal19 November 2019

Great course and examples! It's great to have someone explain the different topics and give real life examples .

R
Rainuma19 November 2019

Impressive quality of the course. Lectures are short but informative. Given satellite data source are very useful.

M
Mah13 June 2019

This course is a good mix of theory and hands-on implementation of remote sensing with free tools. Its a must have for environmental science, ecology and geography students

P
Pankha10 May 2019

It was a good starter course to explain the fundamentals & properly understand the applications of remote sensing

A
Anit7 May 2019

Everything is clear, and step by step! Quite an overload of information for me. I think I really needed to know this.

T
Tanvir5 May 2019

Yes, absolutely. This course taught a lot of satellites’ detail, remote sensing and also gave the examples of how to use data from them.

V
Vytautas12 October 2018

I just need exposure to the tools and syntax so that I get good intuition before a specific application.


1161866

Udemy ID

3/29/2017

Course created date

10/5/2019

Course Indexed date
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