WednesdaySep. 19

8:00am
  • Check-in

    Registration

    Hemisphere A/B Lobby
  • Breakfast

    Pavilion
9:00am
  • Keynote

    Welcome and Kickoff

    Pavilion

    Welcome to SatSummit by Mapbox & Development Seed. Satellite data is part of everything. It’s a multi-billion dollar industry and its moving incredibly quickly. Everyone in this industry wants to use data to improve the planet. Now more than ever. But that doesn’t just happen. Challenge group to make satellite wicked simple, put information in people’s hands.

    Speakers
    Eric Gundersen
    Ian Schuler
  • Keynote

    Government

    Pavilion

    A look at how the government serves as a data provider and how it can create impactful open data and the move away from scientific data living in a black hole.

    Speakers
    Rahul Ramachandran
    Tom Lee
  • Keynote

    The Providers

    Pavilion

    Today’s state of the art in satellites for development and where the field is going. Hear from leaders in AI, and space technology. NASA, ESA, DigitalGlobe, and Planet discuss their current collection, analysis and distribution capabilities.

    Speakers
    Sarah Sarah
    Rhiannan Price
    Kristi Kline
    Christoph Aubrecht
    Andrew Zolli
  • Keynote

    The Storytellers

    Pavilion

    Hearing from storytellers, we’ll learn how they use imagery to inspire and inform.

    Speakers
    Ben Grant
    Andy Revkin
  • Keynote

    Our Opportunity

    Pavilion

    Current state of the industry of EO applications for societal benefit, and a look at the future trends of satellites for global development.

    Speakers
    Danielle Wood
11:15am
  • Break

    Coffee

    Pavilion
11:30am
12:15pm
  • Break

    Lunch

    Pavilion
1:15pm
1:45pm
  • Break

    Coffee

    Pavilion
2:00pm
  • Working Group

    Estimating Poverty

    Hemisphere A

    This session will explore applications of satellite imagery to poverty prediction in developing countries. Participants will share completed work as well as ongoing research across multiple continents. This workshop will compare results from traditional spatial features approaches to newer machine learning approaches. In the final segment, participants will discuss statistical methods and tools for generating local estimates of poverty and average economic well-being by combining survey data, older census data, and indicators derived from satellite imagery.

    Facilitator
    David Locke Newhouse
  • Working Group

    The Return of Pixelmonster: Attacking Satellite Image Processing

    Pavilion

    Pixelmonster (PXM) is a Mapbox service for processing remotely-sensed images and rendering them to maps. This session discusses how to build an imagery processing pipeline at scale in the cloud with API that enables Satellite, Aerial and Drone imagery providers to manage and distribute their imagery at scale.

    Facilitators
    Camilla Mahon
    Todd Smith
2:45pm
  • Break

    Coffee

    Pavilion
3:00pm
  • Working Group

    Responsibly Open

    Hemisphere A

    An open discussion on working with communities to understand, manage, and mitigate the hazards of open mapping and issues such as mapping uncontacted tribes, consent and privacy, spatial data ownership, and indigenous data sovereignty. How do we understand and quantify harms, including the harm of inaction?

    Facilitators
    Willow Brugh
    Rudo Kemper
    Brian Hettler
  • Working Group

    Policy Considerations and Obstacles

    Hemisphere B

    This interactive session will invite participants to share their experiences related to policy, strategy, and governance opportunities and challenges, with an eye towards informing any needed actions at the national and international policy levels. This is an effort to poll the community on their views of the current legal, regulatory, or organizational barriers to expanding the use of space-derived data for international development.

    Facilitator
    Krystal Wilson
  • Working Group

    Open Machine Learning for SDGs

    Pavilion

    The session will propose a collaborative framework for Open Machine Learning approaches for the Sustainable Development Goals. Elements will include creating a global open database of training datasets, standardization and sharing of protocols, and quickly scaling open machine learning tool chains.

    Facilitators
    Keith Garrett
    Caroline Gevaert
3:45pm
  • Break

    Coffee

    Pavilion
4:00pm
  • Panel

    Fast Food Security

    Continental C

    We have the data to support rapid calibration of crop health and yield, to truly precisely predict food crisis before they start. People on the front lines of food security talk about how we can operationalize food intelligence to prevent hunger.

    Moderator
    Carrie Stokes
    Panelists
    Sarah Muir
    David Johnson
    Steven Brumby
  • Panel

    Seeing more than red, green and blue

    Hemisphere A

    Hear how these leaders are helping us see through the smoke of wildfires, detect and measure the gas leaking into the air from faulty pipelines, and capture the world at night. This is the tech that we need to go beyond what the capabilities of our human eye and to maximize the capabilities of machines + data from space.

    Moderator
    Charlie Loyd
    Panelists
    Julie Baker
    Yotam Ariel
    Lola Fatoyinbo
  • Panel

    A pixel tells a thousand words

    Pavilion

    Using precision satellites to get the right shot at the right time and change the lives of thousands of people enslaved at sea. Building the tools for journalists to unite the right images with their investigation to capture the story. Rockstar storytellers share how they’re using maps and imagery to share compelling stories with audiences around the world.

    Moderator
    Al Shaw
    Panelists
    Nancy Coleman
    Christoph Koettl
    Dan Hammer
4:45pm
  • Break

    Coffee

    Pavilion
5:00pm
5:45pm
  • Break

    Coffee

    Pavilion
6:00pm
7:00pm
  • Social

    After-Hours Party

    Smithsonian National Air and Space Museum

    Join us for an evening of off-the-record conversation and an opportunity to hear from former US Astronaut Cady Coleman and former US CTO Megan Smith in an engaging panel discussion of their exciting and impactful careers being badass women working in space and technology. Transportation will be provided. Busses will depart from the 14th street entrance of the Ronald Reagan Building at 6:45pm following the closing session.

    Speakers
    Bronwyn Agrios
    Cady Coleman
    Megan Smith
    Ellen R. Stofan

ThursdaySep. 20

8:00am
  • Check-in

    Registration & Breakfast

    Oceanic Foyer
9:00am
  • Workshop Track: Analysis Ready Data

    Cloud Optimized GeoTIFF

    Meridian C

    The Cloud-Optimized GeoTIFF (COG) format is a way to store satellite data to allow for fast web access and cloud analysis at scale. Adopted widely by the Earth on AWS effort, it immediately enabled new forms of access and use of imagery data. We will share Mapbox’s experience working with COGs. We’ll also cover how to create them from other formats and how to use them in your application. Difficulty: Introductory/Intermediate. Prerequisites: Python & GDAL knowledge helpful to work on personal data/computer.

    Facilitators
    Vincent Sarago
    Norman Barker
  • Workshop Track: Analysis at Scale

    Radiant Earth Foundation platform

    Meridian D/E

    Radiant Earth Foundation will demonstrate their open platform for satellite imagery analysis. Users can access several multi-spectral imagery through the platform including Landsat 8/7/5/4, Sentinel-2, MODIS and ISERV or upload drone and airborne-based imagery to analyze on the platform. Attendees will learn to use the web-based interface as well as the API to work with different imagery and apply analytics to extract intelligence. Machine learning efforts for creating open-source labelled satellite image libraries will be discussed, as well as using Sentinel-1 Synthetic Aperture Radar (SAR) for classification of different features on land. Difficulty: Intermediate. Prerequisites: Basic knowledge of remote sensing & satellite imagery.

    Facilitators
    Hamed Alemohammad
  • Workshop Track: Policy and Strategy

    Signal Code, ethical guidelines for humanitarian remote sensing

    Oceanic A/B

    Based on the Signal Code, this workshop will walk participants step-by-step through designing their Code of Conduct and ethical guidelines for a humanitarian or human rights-oriented remote sensing application. Any organization (including businesses) interested in rights-oriented project design should attend. Difficulty: Introductory/Intermediate.

    Facilitators
    Caitlin Howarth
    Isaac Baker
    Saira Khan
10:30am
  • Break

    Coffee

    Oceanic Foyer
11:00am
  • Workshop Track: Analysis Ready Data

    DataCubes and CommonSensing

    Meridian C

    Participants will learn about how to access and exploit EO data stored in an Open Data Cube (ODC) to generate data related to the Sustainable Development Agenda. Data Cubes are a new way to store, organise, manage and analyse EO data. Data Cubes provide access to large spatio-temporal archives that are processed and organized to allow immediate analysis across time and across data sets with minimum user effort. This removes barriers to full exploitation of EO data and supports use by non-expert users. For this hands-on workshop we will discuss the ODC and it’s role in facilitating improved climate and disaster risk resilience in Small Island Developing States. The Radiant Earth Foundation will introduce the Common Sensing Project, and outline our vision for an open source solution that will be deployed in the SIDS. NASA CEOS will demonstrate the ODC, and attendees will have the chance to access a ‘Sentinel-1 Data Cube Playground’ for Samoa (Please bring your laptop!). Difficulty: Intermediate. Prerequisites: Basic knowledge of satellite data. Knowledge about radar data and Python coding will yield advanced value.

    Facilitators
    Terri Freemantle
    Asimina Syriou
    Brian Killough
    Anthony Burn
  • Workshop Track: Analysis at Scale

    Rasterio

    Meridian D/E

    Learn how installation of the satellite data processing stack is used at Mapbox, how to use the Rasterio library, and how to integrate Rasterio with Numpy and cloud platform libraries to access and transform satellite data. Difficulty: Intermediate. Prerequisites: Cloud computing & Python.

    Facilitator
    Jacques Tardie
  • Workshop Track: Machine Learning

    GBDX

    Oceanic A/B

    Learn how DigitalGlobe is using Jupyter Notebooks and GDBX to create an open data science community for sharing models and structured output, and how to leverage the open source ecosystems like Jupyter to develop custom communities. Explore challenges and solutions of integrating large data repositories with an open analytics stack and creative approaches to on-boading new users to satellite imagery and machine learning for collaborative work. Difficulty: Intermediate. Prerequisites: Basic understanding of remote sensing & ability to program in a modern programming language (Java, JavaScript, Python…)

    Facilitator
    Steve Pousty
12:30pm
  • Break

    Coffee

    Oceanic Foyer
1:00pm
  • Workshop Track: Analysis Ready Data

    Google Earth Engine and Python

    Meridian C

    In this workshop, we will walk attendees through obtaining satellite imagery, processing and preparing it for analysis, and linking it to analysis engines and platforms. Participants will prepare ARD data using two repeatable methodologies: one cloud-native workflow using Google Earth Engine; and the other using open-source Python tools and libraries on a local environment. For this hands-on workshop participants will access open imagery from Planet Labs, Landsat and Sentinel-2. Difficulty: Introductory/Intermediate. Prerequisites: Familiarity with python is a plus, but not necessary. Please bring a laptop to access materials and follow along.

    Facilitator
    Samapriya Roy
  • Workshop Track: Analysis at Scale

    sat-utils

    Meridian D/E

    The session aims to demonstrate to participants how to use the sat-utils collection of tools to discover and access publicly available imagery such as Landsat-8 and Sentinel-2. The latest versions of sat-utils take advantage of the new SpatioTemporal Asset Catalog (STAC) spec, which enables a standardized workflow for discovery and processing of data, regardless of the sensor it is from. Several sat-utils programs will be explored over the course of the workshop. Sat-api is an easily deployable infrastructure to run your own STAC compliant API. We run a public version of sat-api for all the Landsat-8 and Sentinel-2 data on AWS. Sat-search is a library and command line tool for searching and downloading data from sat-api, while sat-fetch allows for downloading just your area of interest. During this workshop you will learn how to use these tools to quickly find Landat-8 and Sentinel-2 imagery for any AOI, and fetch the data for processing.

    Facilitator
    Matthew Hanson
  • Workshop Track: Machine Learning

    Label Maker and Robosat

    Oceanic A/B

    There are a handful of existing annotated datasets for satellite imagery, but they’re mostly limited to urban regions in Western countries. This presents a challenge when attempting to use machine learning algorithms in non-Western regions. This workshop will show you how to generate custom data for feature extraction from aerial and satellite imagery. We’ll use two open source tools, Label Maker and RobotSat, to prepare the data, train an algorithm, and predict over a test area. Difficulty: Intermediate. Prerequisites: Basic understanding of machine learning, satellite imagery, and OpenStreetMap.

    Facilitators
    Drew Bollinger
    Jacques Tardie
    Mark Wronkiewicz
6:00pm
  • Mapathon

    OpenStreetMap Hackathon for HOT and Detroit

    Mapbox DC

    Come grab a hot dinner and drinks with other map enthusiasts after SatSummit on Thursday Sept 20, 6pm-8pm, for an OpenStreetMap mapathon where we will help map Detroit as part of the Detroit Mapping Challenge and urgent humanitarian mapping needs as part of Humanitarian OpenStreetMap. No prior OpenStreetMap editing experience required - we’ll teach you everything you need to know. Just bring your laptop.