Park Site Suitability Mapping in Google Earth Engine (GEE)

Unlock the potential for thriving urban green spaces with this comprehensive course on park site suitability analysis. Learn how to strategically locate new parks to maximize their ecological, social, and health benefits. This program equips you with practical skills in GIS, remote sensing, and the powerful Google Earth Engine (GEE) platform.

You'll delve into the fundamentals of geospatial data, mastering the use of remote sensing imagery and digital elevation models (DEMs). Explore crucial thematic data layers, including population density, proximity to roads, urban land cover, terrain slope, and existing green spaces, to build a holistic understanding of urban environments.

The course focuses on applying robust multi-criteria analysis (MCDA) techniques, including normalization and weighting, to identify the optimal locations for new park development. A key advantage is the use of Google Earth Engine, a cloud-based platform that eliminates the need for extensive data downloads and complex software installations. Gain hands-on experience scripting with JavaScript to preprocess imagery, analyze spatial relationships, and create interactive suitability maps. Final projects can be exported as GeoTIFFs for easy sharing and stakeholder engagement.

By completing this course, you will be able to:

• Integrate diverse geospatial datasets for comprehensive analysis.
• Apply MCDA principles to effectively evaluate land suitability.
• Build scalable, cloud-based spatial models for efficient park planning.
• Support green infrastructure planning and promote sustainable urban development.

This course is perfect for GIS analysts, urban planners, environmental consultants, students, and anyone passionate about sustainable development and building greener cities. No prior coding experience is required – just a desire to learn and contribute to smarter urban environments! Learn to support urban park planning and green infrastructure initiatives.