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EMS Site Suitability Analysis Using Google Earth Engine

EMS Site Suitability Analysis Using Google Earth Engine
Free Download EMS Site Suitability Analysis Using Google Earth Engine
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 508 MB
Spatial Analysis and GIS Techniques for Optimizing EMS Site Locations Using Google Earth Engine


What you'll learn
Understand the fundamentals of site suitability analysis and its importance for EMS (Emergency Medical Services) facility planning.
Learn how to use Google Earth Engine (GEE) to access, process, and analyze geospatial datasets such as roads, population density, slope, and land cover.
Develop skills to create and interpret suitability indices by combining multiple spatial criteria with weighted factors.
Gain hands-on experience in visualizing, mapping, and exporting suitability results to support decision-making in EMS site selection.
Requirements
No prior experience with Google Earth Engine is required — the course will guide you step-by-step.
Description
ffective placement of Emergency Medical Services (EMS) facilities is crucial to ensuring rapid response times and improving public health outcomes. This course equips learners with the knowledge and tools to perform comprehensive site suitability analysis for EMS locations using advanced geospatial techniques. The primary platform used is Google Earth Engine (GEE), a powerful cloud-based GIS tool that enables large-scale spatial data processing and analysis.Students will start by understanding the fundamentals of site suitability and the importance of spatial factors such as proximity to roads for accessibility, population density to estimate demand, terrain slope for construction feasibility, and urban land cover to consider built environment constraints. The course covers how to access, filter, and preprocess relevant datasets within GEE.A key focus will be on learning how to create normalized spatial layers representing individual criteria and combine them with appropriate weights into a composite suitability index. This weighted overlay approach allows for flexible decision-making tailored to real-world EMS planning needs.Hands-on exercises will guide students through mapping, visualizing, and interpreting suitability results in GEE's interactive environment. Additionally, learners will practice exporting geospatial outputs for further analysis or reporting.By course completion, students will have practical expertise in leveraging cloud-based GIS technology for EMS site planning, enhancing their ability to make evidence-based decisions that can save lives and optimize resource allocation. This course is ideal for GIS professionals, urban planners, emergency management personnel, and anyone interested in applied spatial analytics for public health infrastructure.
Who this course is for
Students, researchers and professionals in agriculture, environmental science, geography, or remote sensing looking to apply satellite data in real-world scenarios.
Homepage
https://www.udemy.com/course/ems-site-suitability-analysis-using-google-earth-engine/



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