PR feedback edits.

Author: metasim

pyrasterframes/src/main/python/docs/getting-started.pymd

@@ -6,7 +6,7 @@ If you are new to Earth-observing imagery, you might consider looking at the [Co
 
 @@@
 
-There are @ref:[several ways](getting-started.md#other-options) to use RasterFrames, and @ref:[several languages (Scala, SQL)](languages.md) with which you can use it.  
+RasterFrames® is a geospatial raster processing library for @ref:[Python, Scala and SQL](languages.md), available through @ref:[several mechanisms](#other-options).
 
 The simplest way to get started with RasterFrames is via the [Docker image](#using-jupyter-notebook), or from the Python shell.  To get started with the Python shell you will need:
 
@@ -111,7 +111,7 @@ Now you have the configured SparkSession with RasterFrames enabled.
 
 There is first-class support for Scala in RasterFrames. See the @ref:[Scala and SQL](languages.md) page for an example application, and the [Scala API Documentation](latest/api/index.html) for function details.
 
-If you would like to use RasterFrames in Scala, you'll need to add the following resolvers and depednencies to your sbt project:
+If you would like to use RasterFrames in Scala, you'll need to add the following resolvers and dependencies to your sbt project:
 
 ```scala
 resolvers ++= Seq(