Intro To GEE 211:💰Nature is Cash?! | Valuing 4 Wild Reserves with Google Earth Engine & QGIS🌍🔥 скачать в хорошем качестве

Intro To GEE 211:💰Nature is Cash?! | Valuing 4 Wild Reserves with Google Earth Engine & QGIS🌍🔥

Intro To GEE 211:💰Nature is Cash?! | Valuing 4 Wild Reserves with Google Earth Engine & QGIS🌍🔥 🎬 Welcome to Intro to Google Earth Engine 211! In this episode, we explore how unsupervised classification and clustering techniques can be used to assess the homogeneity vs. heterogeneity of land cover across different reserves using Landsat imagery and Google Earth Engine. 🛰️🌿 Whether you're analyzing land cover change, monitoring ecosystem dynamics, or preparing inputs for conservation planning, clustering helps uncover meaningful patterns in satellite data without requiring labeled training datasets. In this video, you'll learn: 📌 How to prepare and scale Landsat 5, 7, 8, and 9 imagery for analysis 📌 How to use k-means, x-means, and LVQ clustering to segment satellite images 📌 How to visualize and compare spatial heterogeneity across multiple time periods 📌 Techniques to assess the consistency of land cover types and detect shifts in pattern dominance 📌 Tips for managing memory limits and optimizing performance in GEE 🌍 BONUS: We show how these unsupervised clusters can be exported and used in QGIS for further styling, map production, or overlay analysis. 🔍 Perfect for ecologists, remote sensing analysts, or anyone curious about unsupervised machine learning in Earth observation.