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Overview
Introduction to GIS with QGIS
Introduction
Making a Map with Vector Data
Making a Map with Raster Data
Spatial Analysis
Introduction to Remote Sensing
Introduction
Data Access
Data Visualization with Landsat
Data Visualization with Sentinel-2
High Resolution Data
Introduction to Synthetic Aperture Radar (SAR)
Introduction
Data Access
Data Processing
Data Analysis and Interpretation
SAR in QGIS
Introduction to Google Earth Engine 1
Introduction
Navigating in the Code Editor
JavaScript Basics
Earth Engine API Basics
Accessing Images in Earth Engine
Exploring Image Collections
Challenge - Gather Relevant Datasets for your Region
Introduction to Google Earth Engine 2
Introduction
Satellite images in GEE - Browsing & pre-processing
Processing and cloud masking Landsat
Processing and cloud masking Sentinel
Retrieving and visualizing elevation data
Exporting hydrologic datasets
Challenges - Preprocess, Export, Import
Flood Mapping Using Multiple Sensors in GEE 1
Introduction
Mapping Flooded Areas using SAR
Challenges - Modify and Improve Your SAR Flooded Classification
Flood Mapping Using Multiple Sensors in GEE 2
Introduction
Surface Water Mapping using Optical Imagery
Challenges - Change Your Time Period and Data Source
Land Cover Mapping Using Multiple Sensors
Introduction
Step-Through Part 1
Step-Through Part 2
Challenges - Make Your Own Model, Make Improvements
Map Validation Using Collect Earth Online
Introduction
Background
Map Validation with CEO
CEO Guide - Designing a Project
CEO Guide - Creating a Project
CEO Guide - Image Interpretation
Challenges
Extra Resources
Time Series Change Detection 1
Introduction
Running the LandTrendr GUI
Postprocessing LandTrendr Outputs
Challenge - Create a Vegetation Loss Map, Explore Other Tools
Time Series Change Detection 2
Introduction
Intro to Colab
Intro to the GEE Python API
HYDRAFloods Slides and Demo
Time Series Modeling with HYDRAFloods
Partners
Resources
SERVIR-Amazonia
Time Series Change Detection 2
Intro to the GEE Python API
Overview
In a new tab, please open this
Colab Notebook
and follow along for a hands-on coding exercise!
