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Machine Learning in ArcGIS : Map Land Use Land Cover in GIS

Learn machine learning for Remote Sensing & GIS in ArcGIS, pixel & object-based image analysis , segmentation & more

4.38 (44 reviews)

2835

Students

3.5 hours

Content

Oct 2020

Last Update
$49.99
Regular Price

What you will learn

Fully understand advanced GIS and Remote Sensing methods of Land use and Land Cover (LULC) Mapping in ArcGIS

Learn how to perform such advanced GIS methods as object based image analysis (OBIA) and object-based classification using real-world data

Further advanced your GIS and Remote Sensing skills in the market leading GIS software (i.e. ArcGIS)

Learn how to obtain satellite data and UAV images, create training and validation data for OBIA and pixel-based and Remote Sensing data classification

Learn about Machine Learning and Machine Learning types / algorithms

Apply all stages of supervised Machine Learning in ArcGIS

Apply advanced Machine Learning image classification algorithms in ArcGIS

Explore the power of ArcGIS for Remote Sensing image analysis

You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches

You'll have a copy of the data and some detailed manuals used in the course for your reference to use in your GIS analysis

Learn applied Remote Sensing & GIS skills needed for your future / current geospatial job!




Description

Land Use / Land Cover mapping with Machine Learning and Remote Sensing Data in ArcGIS

This course is designed to take users who use ArcGIS for basic geospatial data/GIS/Remote Sensing analysis to perform more advanced geospatial analysis tasks including object-based image analysis using a variety of different data and applying Machine Learning state of the art algorithms. In addition to making you proficient in ArcGIS for spatial data analysis, you will be introduced to a powerful opportunity to learn how to use ArcGIS also for advanced satellite-based image analysis for the most demanded task in Remote Sensing, that is land use and land cover mapping.

I'm very excited that you found my LULC Advanced course. This course is designed to equip you with the practical knowledge of advanced Land Use and Land Cover (LULC) mapping, which is one of the core skills for any Geographic Information Systems (GIS) and Remote Sensing analyst. By the end of the course, you will feel confident and completely understand and apply advanced Geospatial analysis including performing Machine Learning algorithms for land use and land cover mapping and learning object-based image analysis and basics of segmentation. All this you will be able to carry out on the real data in one of the most popular GIS software which is ArcGIS.

This course is different from other training resources. Each lecture seeks to enhance your GIS and Remote Sensing skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You’ll be able to start analyzing spatial data for your own projects, and gain appreciation from your future employers with your advances GIS skills and knowledge of the cutting edge LULC techniques.

In the course, you will be able to learn how to carry out all stages of LULC mapping from acquiring satellite data to assessing the accuracy of your Remote Sensing map and design a beautiful change map readily available to be inserted in your document or report.

The course is ideal for professionals such as geographers, programmers, social scientists, geologists, GIS, and Remote Sensing experts and all other experts who need to use LULC maps in their field and would like to learn the fundamentals of LULC and change detection in GIS. If you're planning to undertake a task that requires to use a state of the art classification algorithms for creating, for instance, land cover and land use maps, this course will give you the confidence you need to understand and solve such geospatial problem.

One important part of the course is the practical exercises. You will be given some precise instructions, codes, and datasets to create LULC maps and change maps using the ArcGIS software.

In this course, I include downloadable practical materials that will teach you:

- Advance your skills in ArcGIS

- Understand the concept of Machine Learning and main types of machine learning in GIS including supervised and unsupervised Machine Learning Algorithms

- Learn how to classify satellite and UAV images with different machine learning algorithms in ArcGIS

- Learn how to perform training, validation data collection and accuracy assessment

- Learn how to perform object-based image analysis

- Perform image segmentation in ArcGIS


INCLUDED IN THE COURSE: You will have access to the data used in the course, along with the Java code files. You will also have access to future resources. Enroll in the course today & take advantage of these special materials!


Screenshots

Machine Learning in ArcGIS : Map Land Use Land Cover in GIS
Machine Learning in ArcGIS : Map Land Use Land Cover in GIS
Machine Learning in ArcGIS : Map Land Use Land Cover in GIS
Machine Learning in ArcGIS : Map Land Use Land Cover in GIS

Content

Introduction

Introduction

Software used in this course

Introduction to Machine Learning in GIS

Introduction to Machine Learning

On Machine Learning in GIS and Remote Sensing

Quiz

Apply Unsupervised Machine Learning for LULC Classification in ArcGIS

Basics of machine learning for Land use/Land Cover (LULC) classification

Overview of Machine Learning for Image Classification in ArcGIS

Lab: How to download satellite data in ArcGIS

Unsupervised LULC image analysis in ArcGIS

QUIZ

Apply Supervised Machine Learning for LULC Classification in ArcGIS

Common algorithms of image classification

Workflow of image classification with the Machine Learning Algorithms & Training

Lab: Creating Training data in ArcMap 10.6

Lab: Supervised image classification with Random Trees Classifier in ArcGIS

Lab: Supervised image classification with Support Vector Machines in ArcGIS

Quiz

Accuracy Assessment of Image CLassification in ArcGIS

Accuracy Assessment: theory

Lab: Accuracy Assessment of Classified Image in ArcGIS 10.6

Image Segmentation in ArcGIS

Principles of image segmentation for GIS and Remote Sensing analysis

Lab: Downloading image data for segmentation analysis in ArcGIS

Lad: Perform Image Segmentation in ArcGIS

Quiz

Object-based Image classification with Machine Learning algorithms in ArcGIS

Object-based image classification (OBIA) VS pixel-based image classification

Creating training data for object-based image classification in ArcGIS

Object-based image classification (OBIA) using UAV data and SVM in ArcGIS

Final Project

Final Project Description

BONUS



Reviews

А
Анастасия11 January 2021

I took Remote Sensing in an academic setting and this course so far give me a better understanding of the uses of ArcGIS for LULC mapping

И
Ирина6 January 2021

I've learned so much about the Landcover image analysis in ArcGIS just from this course alone. Excellent for getting started would recommend it to everyone

К
Ксения5 January 2021

Like the others, this is another great course by Kate Alison! I loved the content, pace, and presentation materials. Highly Recommended

P
Partha22 November 2020

Enjoying the course so far. Very Informative and extremely simple to learn some of the vital algorithms.

N
Nikhil19 September 2020

This was a good experience for me, despite ArcGIS crashing a couple times, and my problems with the isocluster algorithm (no solution as yet). I hope to use the information provided by you, to work supervised classification on my own study site in Southern India. Thanks !

O
Olga3 July 2020

The course is very interesting and applied. I would recommend this course for both beginners and intermediate users in Remote Sensing and GIS.

О
Ольга1 July 2020

In this course, I learn about machine learning theory, different machine learning algorithms and their implementation in QGIS. Thanks a lot!


Coupons

StatusDateDiscount
Expired6/27/202080% OFF
Expired7/3/2020100% OFF
Expired7/20/202075% OFF
Expired8/24/2020100% OFF


3250440

Udemy ID

6/19/2020

Course created date

6/27/2020

Course Indexed date
Lee Jia Cheng
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