Papers, Presentations & Podcasts

Technical Papers

LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert (2024)
  • A global high-resolution forest change alert dataset based on synthetic aperture radar.
Caravan - A global community dataset for large-sample hydrology (2023)
  • A global community dataset for large-sample hydrology.
Satellite imaging reveals increased proportion of population exposed to floods (2021)
  • Featured as the cover story in the prestigious journal Nature.
OpenET: Filling a Critical Data Gap in Water Management for the Western United States (2021)
  • Paper describing the OpenET project, system, and accuracy assessment.
A data-driven approach to estimate leaf area index for Landsat images over the contiguous US (2021)
  • Paper describing the creation of a Landsat-based Leaf Area Index (LAI) product, evaluated with data from the National Ecological Observatory Network (NEON).
Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty (2021)
Recommendations to Improve Downloads of Large Earth Observation Data (2018)
  • White paper with recommendations on how government data centers can more effectively expose their observational and model datasets to bulk users (i.e. cloud providers).
Climate engine: Cloud computing and visualization of climate and remote sensing data for advanced natural resource monitoring and process understanding (2017)
Validation of a 30 m resolution flood hazard model of the conterminous United States (2017)
  • Paper describing the development of a 30m resolution hydrodynamic model for assessing flood hazards.
A dynamic Landsat derived normalized difference vegetation index (NDVI) product for the conterminous United States (2017)
  • Paper describing a temporally continous vegetation product, that can be used as the basis for more advanced analyses.
On Spatially Distributed Hydrological Ecosystem Services: Bridging the Quantitative Information Gap using Remote Sensing and Hydrological Models (2017)
  • CGIAR whitepaper.
UN High Level Panel on Water - World Water Data Initiative Roadmap (2016)
  • Advised (through experts meetings and document review) authors of the 2017 World Water Data Initiative Roadmap of the United Nations / World Bank High Level Panel on Water.
Data Intelligence for 21st Century Water Management: A Report from the 2015 Aspen-Nicholas Water Forum
  • Report summarizing the 2015 Aspen-Nicholas Water Forum, which I presented at.
Merging of Variable-resolution Imagery using Geostatistics and Sensor PSFs
  • Conference proceedings on using geostatistical inverse modeling to merge remote sensing imagery of different resolutions.

Presentations

Overview of the new world of Cloud Analytics
Analyzing NOAA Datasets with Google Earth Engine
  • Invited presentation at NOAA’s 2021 internal Environmental Data Management Workshop.
What’s New in Earth Engine? (2021)
  • Co-presenter of Google Earth Engine’s annual update presentation, focusing on scalability enhancements.
Getting Started with Earth Engine
  • Co-presenter on 75-minute getting-started tutorial.
Publishing an Earth Engine App
  • Co-presented a 90-min tutorial on publishing Apps with Google Earth Engine.
Hey Earth Engine, How do I… - Apps Edition
  • Emcee’d a 90 minute session where Google experts answered questions on how to build Earth Engine Apps.
Weather & Climate Data Analysis with Google Earth Engine
How Jupyter and geemap enable interactive mapping and analysis
  • Co-presented with Qiusheng Wu at JupyterCon 2020k, introducing the geemap library.
How JupyterLab and Widgets enable interactive analysis of the Earth’s past, present, and future
  • In 2018 at the second JupyterCon, I gave a presentation on the potential of using JupyterLab and interactive widgets to explore data about the Earth. The presentation gave an introduction to remote sensing, Earth Engine, Jupyter widgets, and included two live demos showing the analysis of satellite data and climate projections.
Analyzing Petabytes of Earth Science Data with Jupyter and Earth Engine
  • Presented at PyData New York City in 2017.
Capacity Building in the Field of SAR Remote Sensing: Comparing Current Training Resources, Tools, and Services to Community Needs
  • Co-moderated an AGU townhall meeting on building capacity for SAR remote sensing analysis.
EE Python API & Colab
  • A Geo for Good 2019 hands-on tutorial session introducing the Colab environment and Python libraries that are relevant for Earth Engine users.
Synthetic Aperture Radar (Sentinel-1)
  • A Geo for Good 2019 hands-on tutorial session introducing synthetic aperture radar (SAR) data, using Earth Engine.
Hydroinformatics and Google Earth Engine
  • Presented at the 5th CUAHSI Conference on Hydroinformatics in Provo Utah.
Workshop on Maximizing the Scientific Return of NASA Data
  • Invited presentation at the 2018 NASA workshop.
2017 IAHR World Congress keynote
Monitoring Water on a Global Scale with Google Earth Engine
Jupyter meets Earth: Creating Comprehensible and Reproducible Scientific Workflows with Jupyter Notebooks and Google Earth Engine
  • Poster presentation at the 2016 AGU Fall Meeting.
Earth Engine: Google’s Cloud Platform for Big Data Analytics
  • Presentation to the NOAA / NASA GOES-R community.
2015 NASA NISAR Application Workshop
  • Presented on technical advances in cloud computing for the NISAR community as they weighed options for creating SAR data products from the NISAR satellite.
U.S. Dept of State Climate Services for Resilient Development launch event
  • Panelist at the launch event of the U.S. State Department’s Climate Services for Resilient Development. The launch was announced by the White House.
Real time Crunching of Petabytes of Geospatial Data with Google Earth Engine
  • In 2014 at the SciPy conference, I gave a presentation showing a prototype of an interactive mapping widget that displayed Earth Engine image outputs in an IPython Notebook. The presentation includes two live demos: displaying satellite imagery and running a machine learning model to downscale land cover classification.
2014 California Environmental Data Summit
  • Panel discussion on the benefits of open data.

Podcasts

Minds Behind Maps Episode 12 - Tyler Erickson - Google Earth Engine, Curiosity & Working With and For a Community
  • A long-form podcast interview by Maxime Lenormand.
Scene From Above S10E2 - Tyler Talks GEE
  • Short interview on Google Earth Engine and the developer advocacy role.

Blog Posts

Advancing Earth Engine’s sustainability mission
  • Authored post announcing the expansion of Google Earth Engine’s terms of service to include commercial use, while clarifying that use under non-commercial terms would continue.
Accelerating data-driven water management in the West
A Summary of the Google Flood Forecasting Meets Machine Learning Workshop
  • Featured in this Google Research blog post recapping an event that brought together academic researchers and Google engineers working on flood forecasting.
Helping our communities adapt to climate change
  • Authored this blog post summarizing Google’s commitments to the White House’s Climate Data Initiative.