Predicting Urban Heat Islands with Landsat 8 and Google Earth Engine | Complete Regression Analysis скачать в хорошем качестве

Predicting Urban Heat Islands with Landsat 8 and Google Earth Engine | Complete Regression Analysis

LULC Course: https://www.udemy.com/course/google-e... Algae Bloom Analysis: https://www.udemy.com/course/google-e... Web Mapping: https://www.udemy.com/course/gis-web-... In this tutorial, we perform a complete Urban Heat Island analysis using satellite imagery from Landsat 8 inside Google Earth Engine. We calculate Land Surface Temperature (LST), NDVI for vegetation analysis, and NDBI for detecting built-up urban areas. We also explore the relationship between vegetation, urban infrastructure, and temperature using scatter plots and multiple regression modeling. Finally, we create a predicted temperature map and a residual heat map to identify Urban Heat Island hotspots. Topics covered in this tutorial include: • Land Surface Temperature (LST) • NDVI vegetation analysis • NDBI built-up index • Scatter plot analysis • Multiple linear regression in Google Earth Engine • Urban Heat Island mapping This tutorial is ideal for GIS analysts, remote sensing students, and geospatial developers interested in urban climate analysis.