
Learn how GIS users apply ai and ml to land use and land cover mapping, change detection, and object extraction in remote sensing via classification, clustering, and deep learning.
Learn image classification for land use and land cover in GIS, covering supervised and unsupervised approaches, with algorithms like random forest and SVM, plus accuracy assessment via confusion matrices.
Perform supervised image classification in ArcGIS with a random trees classifier, training on shapefile data and applying the model to an image, then tune trees and depth and assess misclassifications.
Perform accuracy assessment in ArcGIS 10.6 using reference data and ground truth for validation. Create assessment points, extract values, and compute confusion metrics to compare random forest and SVM classifications.
Acquire remote sensing imagery from OpenAerialMap for a deep learning object-detection project in ArcGIS, focusing on palm trees on Tonga Island's plantation area.
Apply object-based image classification with UAV data and SVM in ArcGIS. Build training data and a signature file; run the classifier and generate a final land-use image.
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!