Proposed Sessions

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Enabling spatial analysis – point data to multi-polygon layer

Collected geospatial data may be in various formats – raster or vector (point, lines or polygons). When the use case requires us to perform analysis on a bound area, vector data in the form of points sometimes cannot facilitate our analysis. In such cases, the points need to be converted into a multi-polygon layer in order to facilitate various functional analysis based on the spatial data. This talk explores the implementation of an approach to build a multi-polygon layer from point vector data.

Experience level: 
Intermediate

AWS For The (Spatial) Win

Is your boss or customer making you move to the cloud?  Learn how to do more than just toss FOSS4G tools in a Docker image. 

This talk will focus on leveraging AWS technologies like S3 and EMR to enable and scale spatial and spatio-temporal storage and Spark analysis using the GeoMesa cloud native toolkit.  The tools involved allow for you to pay for just the storage and computation your application needs (and all those things your boss is making you do)!

Experience level: 
Intermediate

How To Leverage GPUs to Make the Largest Geospatial Datasets Interactive

The size of geospatial datasets continues to grow, the largest of which routinely reach billions of rows and beyond. Making that data interactive and explorable, and generating real-time insights can be challenging (and sometimes impossible using today’s tools). But there is an emerging technology that has some properties ideally suited to these large-scale datasets and complex visualizations, and that’s GPUs.

Experience level: 
Beginner

OpenLayers Feature Frenzy

Come learn about the latest in OpenLayers developments.  The 5.0 release represents a major overhaul of the library, with the goal of improving application developer experience.  We'll show you what's new and how you can take advantage of it in your mapping applications.  This will be a demo driven talk, walking through examples that highlight new and evolving features of the library.

Experience level: 
Intermediate

Mapping American Community Survey with R

The American Community Survey (ACS) annually collects and disseminates a wealth of demographic and economic data, including race, sex, age, occupation, household income, commuting behavior, disability status, etc. The US Census Bureau exposes ACS data via API and the R packages tidycensus automates the downloading and joining of Census geographies and demographic data. This workshop will introduce the users to the data available in ACS, the use of R and RStudio, the tidycensus package for data downloading, and the tmap pakcage for thematic mapping of selected ACS variables.

Experience level: 
Beginner

A modern geospatial API to classify crop fields based on Enhanced Vegetation Index

Classification of the crop fields based on productivity zones can help the crop producers/researchers to apply different management practices based on the variability of productivity across the field. The Site Selection API (SST) is a tool that classifies an area of interest using Enhanced Vegetation Index (EVI) derived from multi spectral images. Using Python open-source packages, it utilizes both Web Feature Service (WFS) and Web Coverage Service (WCS) to explore and retrieve available EVI raster data intersecting the input area of interest (AOI).

Experience level: 
Advanced

Pixel Decoder fast deployment of semantic segmentation algorithms for satellite imagery

At Development Seed, we built a toolbox, Pixel Decoder, that contains multiple ready-to-go algorithms for semantic segmentation. Pixel Decoder’s built in algorithms will help users efficiently integrate machine learning algorithms into their workflow. Semantic segmentation is an area of machine learning focused on partitioning an image into semantically meaningful parts and then classifying each part into a pre-determined class.

Experience level: 
Intermediate

CARTO as a Platform

CARTO is a successful service and Open Source product stack used by all kinds of organizations. Its portfolio is mainly divided into two main products: BUILDER and ENGINE. This talk is about the latter, exploring how to use the CARTO platform to develop your geospatial applications with a complete set of services, APIs, and client components.

Experience level: 
Beginner

Raster Direct: Going beyond Web Coverage Service (WCS)

Monsanto’s data scientists attempting to make Web Coverage Service (WCS) calls face poor performance for large raster datasets (high resolution, high-bit depth, and/or large area). In such cases, WCS most often crashes or times out. Raster Direct is a Python package/CLI tool that enables the users to access raster data without size limits. This package is built by using Python open-source packages.

Experience level: 
Advanced

Monsanto Geometry Pipeline – Migrating Big Data in Real-time to the Cloud

This presentation will highlight the technical side of our successful live data streaming pipeline from a single source (on premise) Oracle Spatial Database to an integrated open source geospatial platform in the cloud (PostGIS). We will describe in detail the technical implementation of the geometry pipeline and its integration into Monsanto’s Enterprise Geospatial Platform in the cloud.

Experience level: 
Intermediate

Monsanto’s GeoImagery Pipeline – A Holistic Approach to Automatically Ingest and Process Imagery From Multiple Sources

At Monsanto, we gather several types and formats of images from multiple platforms and sensors.  In the past, we developed individual processes and services for each imagery sources.  For example, manned aerial images (MAV) were processed by one team for a purpose, while satellite imagery was processed by another team for an entirely different purpose.

Experience level: 
Advanced

The Importance of FOSS4G Conferences: the business and community imperatives

FOSS4G Conferences, whether regional - like the North American event - or the Global event which took place in Boston in 2017 are important showcase events for the free and open source software for geospatial communities. This presentation will provide an overview of what you can expect at the St. Louis event, but it will also make the case for why investing in the conference - whether through your registration, sponsorship, leadership of a workshop, or other volunteer time - is both crucial and productive.

Experience level: 
Beginner

An algorithm for generating real-time cassette-planter plot: using line simplification algorithm to optimize GeoServer performance

This paper describes a novel method to compute plot boundaries from real-time GPS data that are directly collected and streamed from cassette planters. In the past, working and visualizing large volume of real-time plots across many geographical areas was a major challenge for large scale previsioning farming and its related business. This challenge is not solely made up by the complicated farming workflows, but also raised by the hardware limits, multiple data and sensor models, and unpredictable environment.

Experience level: 
Beginner

MapStory.org: Update on the State of the Platform

This session will review the state of MapStory - the atlas of change that everyone can edit. Since 2012 when MapStory first debuted at Foss4g-NA, the nonprofit MapStory Foundation has worked with a wide range of open-source geo partners to continually improve the open source, open data MapStory platform. With MapStory, both expert and beginner mappers can create a free account and work together to map the world as it evolves geographically, at local, regional or global scales.

Experience level: 
Beginner

Open Source Geospatial Platform for Positive Global Impact

In this talk, I will introduce Radiant.Earth’s platform and present sample use cases around sustainable development goals that can be built using the platform. Radiant.Earth’s platform is open, neutral, collaborative, federated and agile. Our goal is to connect people worldwide to Earth imagery, geospatial data, tools, and knowledge to meet the world’s most critical challenges.

Experience level: 
Intermediate

Taming Billions of LIDAR Points with GPU Database MapD

LIDAR, or “Light Detection And Ranging” is a technology which generates 3D point clouds by bouncing signal off objects.  It can be deployed from satellite, airplane, drone or ground-mounted sensors, and generates hundreds of millions to billions of data points.  Such datasets can overwhelm conventional visualization tools and databases.  For example, Florida has comprehensively mapped its coastal zones with aerial LIDAR, an open dataset of several billion points. These are managed as thousands of arbitrarily-tiled files, and must often be heavily pre-processed even to open in GIS. 

Experience level: 
Beginner

BUILDING A SPATIAL VISIBILITY ANALYSIS PLATFORM TO EVALUATE EVIRONMENTAL FACTORS FOR RURAL REAL ESTATE PROPERTIES

This paper introduced a new method for assessing housing market value based on the real-time viewshed analysis. Unlike most of existing online viewshed tools, the viewshed tool in this study uses Bresenham's line interpolation to get line-of-sight result, and several constraints were also added to the viewshed algorithm in order to make it more scalable with higher resolution data. A prototype is developed from several most popular open sourced GIS suite, and it shows the potential to include more complicated 3D analysis in online tools in the future.

Experience level: 
Beginner
Track: 

Monitoring critical infrastructure: GeoMesa and NRT analytic development in notebooks

2017 saw critical outages and interruptions that affected air- and maritime-traffic: hurricanes, computer outages, physical threats, and more. In this talk, we show how these events can be detected using rapidly-developed geo-temporal analytics in Zeppelin and Jupyter notebooks, all backed by GeoMesa (and visualized in Stealth).

Key points to review include:

Experience level: 
Intermediate

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