Landfill Site Suitability Mapping Using Remote Sensing

Landfill Site Suitability Mapping Using Remote Sensing and Google Earth Engine

What you'll learn

Understand the fundamentals of remote sensing and its applications in environmental site suitability analysis.

Learn to process and analyze satellite data for identifying landfill site suitability using Google Earth Engine.

Gain skills in integrating terrain, land cover, water bodies, and urban proximity data for multi-criteria decision-making.

Develop practical experience in exporting and visualizing suitability maps for real-world landfill site planning and management.

Requirements

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

Description

Landfill site selection is a critical task in environmental management, requiring careful evaluation of multiple geographic and environmental factors. This course offers a comprehensive guide to landfill site suitability mapping using remote sensing data and Google Earth Engine (GEE). Beginning with the fundamentals of remote sensing, students will grasp the key concepts of satellite imagery, land cover classification, and terrain analysis. The course progresses to cover how to identify and process essential datasets such as digital elevation models (DEMs), land cover maps, and water body information that influence landfill suitability.A central focus of the course is Google Earth Engine, a powerful cloud-based geospatial processing platform. Students will be introduced to its interface, scripting language, and data catalog, gaining the skills to manipulate large datasets efficiently. Practical sessions will guide learners through creating suitability models by combining multiple factors—such as slope, distance from urban areas, and proximity to water—to generate maps indicating optimal landfill locations.The course is designed for environmental scientists, urban planners, GIS professionals, and anyone interested in applying geospatial technology for sustainable land management. Through step-by-step tutorials, hands-on exercises, and real-world case studies, students will build confidence in integrating remote sensing data with GEE to solve complex spatial problems. By the end, they will have a solid understanding of both theoretical and applied aspects of landfill site suitability mapping, ready to implement these skills in academic, governmental, or commercial settings.

Overview

Section 1: Introduction

Lecture 1 Lecture 1: Fundamentals of Remote Sensing

Lecture 2 Lecture 2: Remote Sensing Site Suitability Mapping

Lecture 3 Lecture 3: Introduction to Google Earth Engine (GEE)

Lecture 4 Getting Started with the Google Earth Engine Interface

Lecture 5 Lecture 4: Implementation in GEE for Landfill Site Suitability Mapping

Students, researchers and professionals in agriculture, environmental science, geography, or remote sensing looking to apply satellite data in real-world scenarios.