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Overview
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
Flood Mapping Using SAR in QGIS
Introduction
Flood events overview
Fundamentals of remote sensing for flood monitoring
Exercise 1: Mapping surface water using SAR data with QGIS
Review of HYDRAfloods
Introduction to Collect Earth Online
Introduction
Pre-Workshop Set Up
Introductory Tour of CEO
Designing/Planning a CEO Project and Data Collection Protocols
Introduction to Stratified Random Sampling
Creating a CEO project
Introduction to Map Validation
Interpretation Best Practices
Practice and Discussion
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
Introduction
Surface Water Mapping using Optical Imagery
Mapping Flooded Areas using SAR
Challenges - Modify and Improve Your SAR Flooded Classification
Mangrove Mapping Using Multiple Sensors
Introduction
Step-Through Part 1
Step-Through Part 2
Challenges - Make Your Own Model, Make Improvements
Two Date Change Detection
Introduction
Water Change Detection
Challenges - Customize Your Change Detection
Time Series Change Detection 1
Introduction
Running the LandTrendr GUI
Postprocessing LandTrendr Outputs
Challenge - Create a Loss Map, Explore Other Tools
Time Series Change Detection 2
Introduction
Intro to Colab
Intro to the GEE Python API
HYDRAFloods Slides and Demo
Challenge - Time Series Modeling with HYDRAFloods
Capstone
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!
