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Processing Global Geospatial Datasets from OpenStreetMap and NASA Satellites

871 views · Published 24 September 2018 · 28:24 · Indexed 4 November 2026

Channel: Databricks · 2018 · Science & Technology

Eugene Cheipesh is a software engineer at Azavea working on the GeoTrellis project to bring big data geo-spatial processing capability to the open source ecosystem.

In this talk we will demonstrate GeoTrellis, an open source, geographic data processing library designed to work with large geospatial raster and vector datasets on Apache Spark. In previous Spark Summit talk we introduced GeoTrellis design and its integration with Spark. Today we will give brief feature update and showcase newly added geospatial ETL workflows, analytics algorithms, and integration with Databricks notebook. In our use case we will show how to use publicly available elevation data from the NASA Shuttle Radar Topography Mission (SRTM) and the road network datasets from OpenStreetMap (OSM) to generate a cost distance surface which represents the difficulty of traveling across the terrain given said road network.

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Processing Global Geospatial Datasets from OpenStreetMap and NASA Satellites

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