Walk through the easiest path to enable the use of GeoPySpark, a Python library for geoprocessing big data, interactively in a GeoNotebook with Docker.
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 […]
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) […]
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 […]
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.
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 […]