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
Ratings 4.50 / 5.00
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
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.
INCLUDED IN THE COURSE: Access all the data and resources used throughout the course, including datasets and Java code files. Enroll today and harness the full potential of geospatial analysis in ArcGIS!
Who Should Attend!
- Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field
