Educational Resource Hub
This crowd-sourced database of educational resources is meant to encompass any tools relevant to people working in the climate and health space. This might include submissions by the content authors themselves, or simply recommendations from community members for resources they have found helpful. This collection includes only links directing users to existing resources - it is not meant to house or archive content.
Keep in mind, this is a crowd-sourced database. CAFE does not verify the quality nor endorse the use of any materials included in this database. Make sure to follow the terms of use and attribution requirements specific to each resource. If you have created or used sources that would be relevant to the community of practice, please add it to the database by entering it in the submission form below.
This workshop is designed to help you take your first steps in building QGIS plugins. We will understand the QGIS plugin architecture and see how you can package your code and distribute it as a plugin.
Dynamic World is a landcover product developed by Google and World Resources Institute (WRI). It is a unique dataset that is designed to make it easy for users to do near real-time monitoring of landcover changes. The Dynamic World (DW) model gives you the the probability of the pixel belonging to each of the 9 different landcover classes and the dataset is updated continuously with detections from new Sentinel-2 scenes as soon as they are available. This makes DW ideal for change detection and monitoring applications. This workshop covers a wide range of examples for using Dynamic World dataset in Google Earth Engine (GEE) for landcover monitoring.
This is an introductory course that covers QGIS from the very basics. You will learn to use QGIS for mapping, spatial data processing, and spatial analysis. This class is ideal for participants with a basic knowledge of GIS and who want to learn how to use QGIS to carry out everyday GIS tasks.
Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface. This course covers the full range of topics in Earth Engine to give the participants practical skills to master the platform and implement their remote sensing projects.
Speaker:
Gregory Wellenius, SCD, MPI of CAFEP
Professor of Environmental Health, Boston University School of Public Health
This class focuses on techniques for the automation of GIS workflows. You will learn techniques that will help you be more productive, create beautiful visualizations and solve complex spatial analysis problems. This class is ideal for participants who already use QGIS and want to take their skills to the next level.
This is an intermediate-level class that is suited for participants who are familiar with the Google Earth Engine API and want to learn advanced data visualization methods. This class also introduces novel earth observation and climate datasets along with techniques to work with them.
GDAL is an open-source library for raster and vector geospatial data formats. The library comes with a vast collection of utility programs that can perform many geoprocessing tasks. This class introduces GDAL and OGR utilities with example workflows for processing raster and vector data. The class also shows how to use these utility programs to build Spatial ETL pipelines and do batch processing.
Crowd-Sourced Climate Change and Health Educational Resources Collection Submission Form
Do you have a resource you’d like to share with the community in this educational resource collection? Please fill out the submission form below.
Your entry will be checked to ensure the content is appropriate, but will not be assessed for accuracy or completeness, and no other quality checks will be done.
If you have a dataset you’d like to share with the community, think about posting it to the CAFE collection on Dataverse!
Please fill out the form to add a resource you think might be helpful for the climate change and health community of practice.
The type of resources that should be shared here are one of the following:
- Book or reference text (e.g. textbook or guidebook on best practices or other essential knowledge)
- Code repository (e.g. a GitHub code bank of an existing analysis)
- Online code tutorial or vignette (e.g. a walkthrough of specific code or methods with examples and explanations)
- Online course (e.g. a series of learning objectives with content and assessment)
- Video or recorded webinar (e.g. educational resources presented in video format)
