In this tutorial, we will explore the powerful capabilities of the Google Earth Engine for evaluating Land Surface Temperature (LST), analyzing the Urban Heat Island (UHI) effect, and calculating the Urban Thermal Field Variance Index(UTFVI) using the Landsat dataset.
UHI has emerged as a greater threat in recent years, affecting the resident's health. Additionally, UHI leads to higher energy demands for cooling, increased heat-related health risks for urban populations, and environmental impacts on local ecosystems. Understanding and mitigating this phenomenon is crucial for creating sustainable, resilient, and livable cities. Therefore through this workshop, I aim to simplify the process of evaluating the high-stress UHI regions, for effective heat stress mitigation 🏙️🌡️
Links for the resources mentioned in the video:
🔗 Website: waleedgeo.com/
🔗 LinkedIn: / waleedgeo
🔗 GitHub: github.com/wal...
🔗 Publications: waleedgeo.com/...
Code Links for this tutorial:
🔗 LST UHI and UTFVI Project Page: waleedgeo.com/...
🔗 JavaScript Code used in the workshop: github.com/wal...
If you found this tutorial helpful, please subscribe to my channel for more geospatial analysis tutorials and tips. Don't forget to hit the bell icon to get notified about our future uploads. You can also follow us on (i.e. LinkedIn) for updates and additional content.
Tags:
#googleearthengine #GEE #earthengine #remotesensing #geospatial #landsurfacetemperature #LST #urbanheatisland #UHI #urbanthermalfieldvarianceindex #UTFVI #urbanclimate #heatwaves #spatialanalysis #tutorial #landsat #opencourseware #opensource
28 авг 2024