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

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

Unlock the potential of advanced geospatial analysis with ArcGIS. This comprehensive course is designed to equip you with the knowledge and skills needed to perform sophisticated geospatial tasks, including object-based image analysis and Machine Learning for Land Use and Land Cover (LULC) mapping using ArcGIS.

Course Highlights:

Practical knowledge of advanced LULC mapping
Proficiency in ArcGIS for geospatial data analysis
Introduction to satellite-based image analysis for Remote Sensing
Application of Machine Learning algorithms for precise mapping
Object-based image analysis and segmentation techniques
Creation of change maps and accuracy assessments
Downloadable materials, including datasets and instructions

Course Focus:

This course is perfect for users who are familiar with ArcGIS but want to take their geospatial analysis skills to the next level. You'll gain the confidence to apply Machine Learning algorithms to LULC mapping and object-based image analysis using real-world data in ArcGIS.

Why Choose This Course:

Unlike other training resources, this course delivers practical solutions that enhance your GIS and Remote Sensing skills in a clear and easy-to-follow manner. You'll be able to tackle geospatial projects independently and impress your future employers with your advanced GIS capabilities.

What You'll Learn:

Advanced skills in ArcGIS for geospatial analysis
Understanding of Machine Learning concepts and its application in GIS
Classification of satellite and UAV images using various Machine Learning algorithms
Training, validation data collection, and accuracy assessment
Object-based image analysis and image segmentation techniques
Creation of change maps to visualize land use and land cover transformations

Enroll Today:

This course is ideal for geographers, programmers, social scientists, geologists, GIS, and Remote Sensing experts who need to create LULC maps and conduct change detection in their field. Whether you're embarking on a new geospatial project or looking to advance your skills, this course will provide you with the knowledge and confidence to excel in geospatial analysis using ArcGIS.

Enroll today and harness the full potential of geospatial analysis in ArcGIS.

What's inside

Learning objectives

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!
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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!
Show more
Show less

Syllabus

Introduction

Software used in this course

to introduce the students to the main concepts of machine learning in GIS & ArcGIS, to show practical examples of its applications

Introduction to Machine Learning

On Machine Learning in GIS and Remote Sensing

Quiz

to perform unsupervised image analysis ArcGIS and learn basics of machine learning for image analysis

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

to perform supervised image analysis in ArcGIS and to implement accuracy assessment of the LULC maps

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

To learn how to perform Accuracy Assessment of Image CLassification in ArcGIS

Accuracy Assessment: theory

Lab: Accuracy Assessment of Classified Image in ArcGIS 10.6

To learn how to perform image segmentation in ArcGIS software

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

To learn principles behind OBIA and to learn how to apply it in ArcGIS, to learn advanced LULC methods with the best GIS software on the market

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

To conduct your final independent project on Machine Learning in ArcGIS

Final Project Description

BONUS

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Delves into advanced geospatial analysis with ArcGIS software

Suitable for professionals who want to enhance their GIS and Remote Sensing skills

Provides hands-on labs and interactive materials for practical learning

Covers advanced topics like object-based image analysis and Machine Learning algorithms

Provides downloadable materials and detailed instructions for easy reference

Requires learners to have proficiency in ArcGIS software

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning in ArcGIS : Map Land Use Land Cover in GIS with these activities:

Review the basics of ArcGIS and Remote Sensing

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Ensure your foundational knowledge of ArcGIS and Remote Sensing is strong to enhance your ability to follow the course material.

Browse courses on GIS

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Revisit concepts of spatial data, GIS operations, and Remote Sensing principles
Review tutorials or documentation on ArcGIS and Remote Sensing software

Review object-based image analysis techniques

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Brush up on the basics of object-based image analysis to provide a stronger foundation for this course.

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Read about the concepts of OBIA and its applications in GIS and Remote Sensing
Watch tutorials or videos on how to perform OBIA in ArcGIS
Practice OBIA techniques using sample datasets

Organize and review course notes, assignments, and materials

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Regularly consolidate and review your learning materials to enhance retention and understanding.

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Organize notes, assignments, and materials into a structured format
Review the materials periodically to reinforce concepts and identify areas for improvement

Four other activities

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Show all seven activities

Participate in peer discussion forums to exchange ideas and insights

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Engage with your peers in discussions to share knowledge, ask questions, and gain new perspectives on the course material.

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Join online discussion forums or study groups
Participate in discussions, share your thoughts, and ask questions
Provide feedback and support to your peers

Explore tutorials on advanced Machine Learning algorithms for image classification

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Deepen your understanding of Machine Learning algorithms and their application in image classification, which will enhance your ability to apply these techniques in ArcGIS.

Browse courses on Machine Learning Algorithms

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Identify the different types of Machine Learning algorithms used for image classification
Follow tutorials on how to implement these algorithms in ArcGIS
Experiment with different parameters and settings to optimize the performance of the algorithms

Practice classifying satellite images using different Machine Learning algorithms

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Reinforce your understanding of Machine Learning algorithms by practicing image classification tasks, which will improve your proficiency in using these algorithms in ArcGIS.

Browse courses on Image Classification

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Download satellite images and prepare training and validation datasets
Apply different Machine Learning algorithms to classify the images
Compare the accuracy of the different algorithms and optimize their parameters

Develop a Land Use/Land Cover map using Machine Learning in ArcGIS

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Apply the skills and knowledge acquired in this course to create a real-world Land Use/Land Cover map using Machine Learning in ArcGIS, demonstrating your proficiency in these techniques.

Browse courses on Machine Learning

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Gather satellite imagery and other relevant data for the study area
Preprocess the data and prepare training and validation datasets
Apply Machine Learning algorithms to classify the images and create a Land Use/Land Cover map
Accuracy assessment and refinement of the map

Career center

Learners who complete Machine Learning in ArcGIS : Map Land Use Land Cover in GIS will develop knowledge and skills that may be useful to these careers:

Remote Sensing Analyst

Remote Sensing Analysts use satellite and other remotely sensed data to collect information about the Earth's surface. They use this data to create maps, charts, and other visualizations that can be used to inform decision-making. This course can help Remote Sensing Analysts to develop the skills and knowledge they need to use remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Remote Sensing Analyst

GIS Analyst

GIS Analysts use geographic information systems (GIS) software to collect, manage, and analyze spatial data. They use this data to create maps, charts, and other visualizations that can be used to inform decision-making. This course can help GIS Analysts to develop the skills and knowledge they need to use GIS software effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for GIS Analyst

Urban Planner

Urban Planners develop plans for the development and use of land in urban areas. They use a variety of tools and techniques to collect and analyze data about urban areas, including GIS software and remote sensing data. This course can help Urban Planners to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Urban Planner

Environmental Scientist

Environmental Scientists study the environment and its components, including the air, water, land, and living organisms. They use a variety of tools and techniques to collect and analyze data about the environment, including GIS software and remote sensing data. This course can help Environmental Scientists to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Environmental Scientist

Transportation Planner

Transportation Planners develop plans for the development and use of transportation systems. They use a variety of tools and techniques to collect and analyze data about transportation systems, including GIS software and remote sensing data. This course can help Transportation Planners to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Transportation Planner

Cartographer

Cartographers create maps and other visualizations that represent geographic information. They use a variety of tools and techniques to create maps, including GIS software and remote sensing data. This course can help Cartographers to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Cartographer

Water Resources Engineer

Water Resources Engineers design and manage water resources systems. They use a variety of tools and techniques to collect and analyze data about water resources, including GIS software and remote sensing data. This course can help Water Resources Engineers to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Water Resources Engineer

Land Use Planner

Land Use Planners develop plans for the use of land in a particular area. They use a variety of tools and techniques to collect and analyze data about land use, including GIS software and remote sensing data. This course can help Land Use Planners to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Land Use Planner

Natural Resource Manager

Natural Resource Managers develop and implement plans for the management of natural resources, such as forests, water, and wildlife. They use a variety of tools and techniques to collect and analyze data about natural resources, including GIS software and remote sensing data. This course can help Natural Resource Managers to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Natural Resource Manager

Geographer

Geographers study the Earth's surface, including its physical features, climate, and human population. They use a variety of tools and techniques to collect and analyze data about the Earth, including GIS software and remote sensing data. This course can help Geographers to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Geographer

GIS Specialist

GIS Specialists use GIS software to collect, manage, and analyze spatial data. They use this data to create maps, charts, and other visualizations that can be used to inform decision-making. This course can help GIS Specialists to develop the skills and knowledge they need to use GIS software effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for GIS Specialist

Geomatics Engineer

Geomatics Engineers use a variety of tools and techniques to collect and analyze data about the Earth's surface. They use this data to create maps, charts, and other visualizations that can be used to inform decision-making. This course can help Geomatics Engineers to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Geomatics Engineer

Data Scientist

Data Scientists use data to solve problems and make predictions. They use a variety of tools and techniques to collect, analyze, and interpret data, including GIS software and remote sensing data. This course can help Data Scientists to develop the skills and knowledge they need to use GIS software and remote sensing data effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Data Scientist

GIS Manager

GIS Managers oversee the development and implementation of GIS systems. They work with a variety of stakeholders to ensure that GIS systems meet the needs of the organization. This course can help GIS Managers to develop the skills and knowledge they need to manage GIS systems effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for GIS Manager

Geospatial Analyst

Geospatial Analysts use GIS software to collect, manage, and analyze spatial data. They use this data to create maps, charts, and other visualizations that can be used to inform decision-making. This course can help Geospatial Analysts to develop the skills and knowledge they need to use GIS software effectively, including how to perform object-based image analysis, use machine learning algorithms for image classification, and conduct accuracy assessments.

See salaries and explore the career path for Geospatial Analyst