Machine Learning in GIS : Understand the Theory and Practice

Partner: Udemy
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Description: Are you eager to harness the power of Machine Learning for geospatial analysis, but not sure where to start? Welcome to our course, designed to equip you with the theoretical and practical knowledge of Machine Learning applied in the fields of Geographic Information Systems (GIS) and Remote Sensing. Whether you're interested in land use and land cover mapping, classifications, or object-based image analysis, this course has you covered.Course Highlights:Theoretical and practical understanding of Machine Learning applications in GIS and Remote SensingApplication of Machine Learning algorithms, including Random Forest, Support Vector Machines, and Decision TreesCompletion of a full GIS project with hands-on exercisesUtilization of cloud computing and Big Data analysis through Google Earth EngineIdeal for professionals across various fieldsStep-by-step instructions and downloadable practical materialsCourse Focus:This comprehensive course delves into the realm of Machine Learning in geospatial analysis, offering a blend of theory and practical application. Upon course completion, you will possess the knowledge and confidence to harness Machine Learning for a wide range of geospatial tasks.What You'll Learn:Installing open-source GIS software (QGIS, OTB toolbox) and proper configurationNavigating the QGIS software interface, including components and plug-insClassifying satellite images with diverse Machine Learning algorithms (e.g., Random Forest, Support Vector Machines, Decision Trees) in QGISConducting image segmentation in QGISPreparing your inaugural land cover map using the cloud computing platform Google Earth EngineWho Should Enroll:This course caters to a diverse audience, including geographers,
Category: IT & Software > Other IT & Software > GIS
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Price: 99.99
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Source: Impact
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