This repository contains several types of workshop material that is intended to share code, data and examples.
docs is used to generate the https://geotrellis.github.io/geotrellis-workshop site.
These documents are meant to be used as a mixture of workshop specific reference and walkthroughs. The sections contain all the required import and are intended to be copy pasted either into Scala Workbook or Jupyter Notebook. The workshop presenter will select and discuss sections in detail acording the the schedule or as questions come up.
The examples in ./notebooks can be run interactively via mybinder.org. Click the Binder badge above to begin a new interactive notebook session.
Alternatively, these notebooks can be opened locally. From the project directory run:
docker run -it --rm -p 8888:8888 -v $PWD/notebooks:/home/jovyan/work almondsh/almond:latest
SBT console can be accesed with:
sbt consoleSBT console is an important part of normal spark development cycle and has access to all the classes and data available in this workshop. This is a fallback place to illusrate spark concepts and work with RDDs in a REPL.
s3://geotrellis-demo/ bucket contains the data intended for use in this workshop. Mostly it will be accessed directly through AWS S3 SDK.
s3://geotrellis-demo/cogs/harrisburg-pa/holds a number of overlapping GeoTiffs for a study area covering Harrisburg, PA, USA. Useful for exploring basic raster functionality and MapAlgebra.s3://geotrellis-demo/baja-2019/holds a monthly median pixel mosaic for 2018 from Sentinel library for AOI over Baja, CA. Chosen for its interesting landscape and cloud-free days. Useful for building temporal layers and building time series analsysis.- Mapzen Terrain Tiles are read directly from AWS and can be accessed through
workshop.data.TerrainTilesclass - Landsat 8 Scenes are read directly from AWS.
GeoTrellis Server Documentationgeotrellis-spark-jobSBT project templategeotrellis-landsat-tutorial