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

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

ProviderUdemy
Duration3.5 total hours
PricePaid
#AI#Udemy#Machine Learning

About this Course

Land Use / Land Cover Mapping with Machine Learning and Remote Sensing Data in ArcGISUnlock 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 mappingProficiency in ArcGIS for geospatial data analysisIntroduction to satellite-based image analysis for Remote SensingApplication of Machine Learning algorithms for precise mappingObject-based image analysis and segmentation techniquesCreation of change maps and accuracy assessmentsDownloadable materials, including datasets and instructionsCourse 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 analysisUnderstanding of Machine Learning concepts and its application in GISClassification of satellite and UAV images using various Machine Learning algorithmsTraining, validation data collection, and accuracy assessmentObject-based image analysis and

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Verified student count: 143 reviews. This data is refreshed regularly via platform sync endpoints.
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