[RasterFrames](https://rasterframes.io/) provides a DataFrame-centric view over 
arbitrary Earth-observation (EO) data, enabling spatiotemporal queries, map 
algebra raster operations, and compatibility with the ecosystem of [Apache 
Spark](https://spark.apache.org/docs/latest/) 
[ML](https://spark.apache.org/docs/latest/ml-guide.html) algorithms. It 
provides APIs in [Python, SQL, and 
Scala](https://rasterframes.io/languages.html), and can scale from a laptop 
computer to a large distributed cluster, enabling  *global*  analysis with 
satellite imagery in a wholly new, flexible, and convenient way.

## Changes in 0.8.2
* Added ability to pass config options to convenience PySpark session 
constructor.
* Bumped Spark dependency to version 2.3.4. 
* Fixed handling of aggregate extent and image size on GeoTIFF writing. 
* Fixed issue with `RasterSourceDataSource` swallowing exceptions.
* Fixed SparkML memory pressure issue caused by unnecessary reevaluation, 
overallocation, and primitive boxing.
* Fixed Parquet serialization issue with `RasterRef`s 
* Fixed `TileExploder`, `rf_agg_local_mean` and `TileColumnSupport` to support 
`proj_raster` struct.
* Various documentation improvements.
* _Breaking_ (potentially): Synchronized parameter naming in Python and Scala 
for `spark.read.raster`

Full release notes are available here: 
https://rasterframes.io/release-notes.html

* Source: https://github.com/locationtech/rasterframes
* Install: `pip install pyrasterframes`
* Getting Started: https://rasterframes.io/getting-started.html
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