Udemy - Bike Site Suitability Mapping with Remote Sensing and GEE

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Udemy - Bike Site Suitability Mapping with Remote Sensing and GEE (Size: 467 MB)
  1 -Lecture 1 Fundamentals of Remote Sensing.mp4 62.6 MB
  1 -Lecture-1-Fundemntal of Remote sensing-sh.pdf 787.1 KB
  2 -Lecture 2 Suitability Mapping with Remote Sensing.mp4 87.6 MB
  2 -Lecture-2 Suitbility.mp4 34.5 MB
  3 -Lecture 3 Introduction to Google Earth Engine (GEE).mp4 41 MB
  3 -Lecture-3 GEE.pdf 250.4 KB
  4 -Getting Started with the Google Earth Engine Interface.mp4 34.7 MB
  5 -Code-Bike.txt 2.5 KB
  5 -Lecture 4 Implementing Bike Site Suitability Mapping in GEE.mp4 205.6 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B

Description


Bike Site Suitability Mapping with Remote Sensing and GEE

https://WebToolTip.com

Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 51m | Size: 467 MB

Learn how to use population data, land cover, road networks, and satellite imagery in GEE to identify optimal bike site

What you'll learn
Learn site suitability concepts and how remote sensing aids smart urban planning for bike infrastructure.
Work with real-world spatial data like population, roads, and parks using Google Earth Engine.
Write GEE scripts to analyze spatial layers, compute distances, and build bike site suitability maps.
Visualize, style, and export geospatial results as GeoTIFFs for use in GIS tools like QGIS or ArcGIS.

Requirements
No prior experience with Google Earth Engine is required — the course will guide you step-by-step.

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