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Mastering Earth Observation with AI & Google Earth Engine - 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: Mastering Earth Observation with AI & Google Earth Engine (/Thread-Mastering-Earth-Observation-with-AI-Google-Earth-Engine) |
Mastering Earth Observation with AI & Google Earth Engine - OneDDL - 03-12-2025 ![]() Free Download Mastering Earth Observation with AI & Google Earth Engine Published: 3/2025 Created by: Tek Kshetri MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 19 Lectures ( 5h 16m ) | Size: 3.8 GB Mastering Earth Observation: Unlocking Geospatial Insights with GEE & Python What you'll learn Google Earth Engine Remote Sensing and Earth Observation Geospatial Analysis Work on Real Projects Various kind of hazard mapping including flood, forest fire, landslide etc Multiple ways to prepare LULC maps in cloud environment Requirements Basic knowledge of remote sensing Intermediate knowledge of deep learning Description Harness the power of Google Earth Engine (GEE) and Artificial Intelligence (AI) to analyze satellite imagery and monitor environmental changes. This comprehensive course will guide you through the fundamentals of remote sensing, machine learning, and deep learning for geospatial analysis.You will start with an introduction to GEE and remote sensing, learning how to access and process satellite imagery. From there, you'll dive into Land Use and Land Cover (LULC) mapping, applying machine learning and deep learning techniques to classify landscapes effectively.The course also covers time-series image visualization, allowing you to create animated representations of changes over time. You'll explore real-world environmental applications, including forest fire mapping, flood analysis using multiple satellite datasets, and landslide susceptibility mapping. Additionally, you will learn change detection analysis using deep learning, a crucial technique for tracking landscape modifications.By the end of this course, you will have the skills to:Utilize GEE for satellite image processing and visualizationImplement machine learning and deep learning for LULC classificationConduct disaster mapping for floods, forest fires, and landslidesApply change detection techniques to monitor environmental transformationsWhether you are a researcher, student, or GIS professional, this course will equip you with practical skills to analyze Earth's dynamic surface using cutting-edge geospatial technologies. Who this course is for Early career researcher Remote Sensing Beginners Homepage: Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |