GeoTrellis
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Serving Tiles with GeoTrellis, Lambda, and API Gateway
Have this open source serverless tile server built with the Serverless framework, AWS Lambda, AWS API Gateway, and GeoTrellis up and running in minutes.
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Serving Tiles with GeoTrellis, Lambda, and API Gateway
Have this open source serverless tile server built with the Serverless framework, AWS Lambda, AWS API Gateway, and GeoTrellis up and running in minutes.
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How to Run GeoPySpark in a GeoNotebook with Docker
Walk through the easiest path to enable the use of GeoPySpark, a Python library for geoprocessing big data, interactively in a GeoNotebook with Docker.
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Introducing GeoPySpark, a Python Binding of GeoTrellis
GeoTrellis is a Scala library for working with geospatial data in a distributed environment. While powerful, it has a limited user base due to the geospatial community’s preference for other languages such as Python and R. Bringing GeoTrellis to another language has thus been a requested feature of the community. Well, after nine months of…
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Video: Using Convolutional Neural Networks to Automatically Analyze Aerial and Satellite Imagery
In this recording of our most recent Technical Staff Meeting, we walk through our team’s work on Raster Vision, a set of open source tools for automatically analyzing aerial and satellite imagery using convolutional neural networks. As part of Raster Vision, we have implemented approaches to tagging (predicts a set of tags for each image)…
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Reading and Visualizing NetCDF Climate Data with GeoTrellis
This blog post contains an example project that demonstrates how to read NetCDF climate projection data from S3 or a local filesystem into a Spark/Scala program using NetCDF Java and how to manipulate the data using GeoTrellis. We are interested in reading datasets stored as NetCDF because it is a common format for storing large, global climate…
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Deep Learning for Semantic Segmentation of Aerial and Satellite Imagery
This post describes how to use deep learning to do semantic segmentation on aerial and satellite imagery, experiments on the ISPRS Potsdam dataset, and how to visualize model predictions on a map.
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Raster Foundry: Geospatial Analysis at Any Scale
Azavea has a rich history of productizing our research: from forecasting crime to managing green infrastructure in cities to aggregating elected official data. One of the primary reasons that I love working here is our ongoing commitment to supporting research that translates directly into civic and social impact (typically by making complex analytical tools approachable…
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A World’s Worth of VectorTiles
This post outlines our general approach, our current status, and some of the roadbumps we’ve hit along the way while developing a free-and-open-source pipeline in Mapbox VectorTiles.
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GeoDocker Development Workflow
In this post we discuss our experience using GeoDocker, a collection of Docker containers, to overcome challenges associated with developing, testing, and deploying data projects.
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GeoTrellis 1.0 Release with LocationTech
This post will explain the motivation to release GeTrellis under LocationTech and what the decision means for GeoTrellis users and contributors.
