Bus Station Site Suitability Analysis using GEE

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Free Download Bus Station Site Suitability Analysis using GEE
Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 542 MB
Master the essentials of Remote Sensing, GIS, and Google Earth Engine for effectivesite BuS station suitability analysis

What you'll learn
Understand fundamental GIS concepts including vector and raster data types and their applications.
Develop skills to preprocess and analyze spatial data layers such as roads, population, slope, and land cover in Google Earth Engine.
Learn to create and interpret suitability models by combining multiple weighted criteria for site selection.
Gain experience in visualizing, interpreting, and exporting spatial analysis results for real-world decision-making.
Requirements
No prior experience with Google Earth Engine is required - the course will guide you step-by-step.
Description
In today's data-driven world, geospatial analysis plays a crucial role in urban planning, environmental management, and infrastructure development. This course is designed to equip learners with the foundational knowledge and practical skills needed to perform site suitability mapping using cutting-edge tools and datasets. Starting with the fundamentals of remote sensing, students will understand how satellite imagery and aerial data are captured, processed, and used to interpret land surface characteristics.Next, the course introduces Geographic Information Systems (GIS), explaining how spatial data is organized, analyzed, and visualized to solve complex location-based problems. Learners will explore vector and raster data types, coordinate systems, and spatial analysis techniques critical for decision-making.A key highlight is the introduction to Google Earth Engine (GEE), a powerful cloud-based platform that allows users to process large geospatial datasets efficiently. Students will gain hands-on experience in coding and using GEE for environmental monitoring and urban planning tasks.Finally, the course focuses on implementing site suitability analysis, applying theoretical concepts to practical scenarios such as selecting optimal locations for bus stations. By integrating population density, road networks, terrain slope, and land cover data, students will learn to create weighted suitability models to identify the best sites for development.This comprehensive program is ideal for urban planners, environmental scientists, GIS professionals, and anyone interested in geospatial technologies and spatial decision support. Graduates will be ready to leverage remote sensing and GIS tools for real-world challenges, improving planning outcomes and resource management.
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.
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