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Google Earth Engine Mega Course Remote Sensing Applications - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Google Earth Engine Mega Course Remote Sensing Applications (/Thread-Google-Earth-Engine-Mega-Course-Remote-Sensing-Applications--424556) |
Google Earth Engine Mega Course Remote Sensing Applications - OneDDL - 05-30-2024 ![]() Free Download Google Earth Engine Mega Course Remote Sensing Applications Last updated 4/2024 Duration: 11h41m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 12.7 GB Genre: eLearning | Language: English Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big data What you'll learn Students will access and sign up the Google Earth Engine platform Download, process and visualize various satellite data including Landsat, MODIS, Sentinel and VIIRS Apply GIS techniques to process and analyze various vector data Generate various visualizations including time series and histogram charts from remote sensing data Export various vector data including KML and CSV files Export images, charts and videos Learn to perform various image processing including mosaiccing, compositing, zonal statistics, and neighborhood analysis Classification of satellite data with Machine learning Master JavaScript programming language to process Earth observations data Complete a final GIS project on downloading, processing, analyzing and visualizing big data Requirements This course has no requirements. Description Welcome to the Google Earth Engine Mega Course: Remote Sensing Applications , the only course you need to learn to code and become an Earth Engine expert. With a 4.5 average rating, this Earth Engine course is one of the highest-rated courses. At 12+ hours, this Earth Engine course is without a doubt the most comprehensive Google Earth Engine course available online. Even if you have zero programming experience, this course will take you from beginner to mastery . Here's why The course is taught by an experienced geospatial data scientist. The course has been updated to be 2024-ready and you'll be learning the latest tools available on the cloud. The curriculum was developed over five years , with comprehensive student testing and feedback. We've taught over 20,000 students how to code and apply spatial data science and cloud computing. The course is constantly updated with new content, with new projects, and modules. You will have access to example data and sample scripts. In this course, we will cover the following topics Introduction to Earth Engine JavaScript API Explore Earth Engine Sign Up with Earth Engine Basic JavaScript Data Types Earth Engine Objects Client versus Server Side Objects Image Visualization Filtering Image Collection Feature Collection Clipping Images Import and Export Images Cloud Masking Calculate Spectral Indices Reducers Zonal Statistics Machine Learning Classification Drought Monitoring Urban Mapping Surface Water Mapping Forest Monitoring Air Pollution Monitoring Earth Engine Web Apps The course includes over 12+ hours of HD video tutorials. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a spatial data scientist and Earth Engine expert. So, what are you waiting for? Enroll now and start learning! Who this course is for This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform. People who want to understand various satellite image processing techniques. Anyone who wants to learn spatial analysis on the cloud. People who ware working with satellite remote sensing data such as Landsat, MODIS, Sentinel-2, and VIIRS. Anyone who wants to apply for GIS or Remote Sensing Specialist job position. Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |