Merge pull request #863 from earthlab/landing-pages

Finish up landing pages - raster section

Author: Leah Wasser

_posts/courses/intermediate-earth-data-science-textbook/03-intro-raster/raster-processing-python/2018-02-05-raster01-subtract-rasters.md

@@ -1,6 +1,6 @@
 ---
 layout: single
-title: "Subtract One Raster from Another and Export a New GeoTIFF in Python"
+title: "Subtract One Raster from Another and Export a New GeoTIFF in Open Source Python"
 excerpt: "Often you need to process two raster datasets together to create a new raster output and then save that output as a new file. Learn how to subtract rasters and create a new GeoTIFF file using open source Python."
 authors: ['Leah Wasser', 'Chris Holdgraf', 'Martha Morrissey']
 dateCreated: 2018-02-05
@@ -31,22 +31,15 @@ redirect_from:
 
 <div class='notice--success' markdown="1">
 
-## <i class="fa fa-ship" aria-hidden="true"></i> Chapter Five - Raster Data Processing in Python 
+## <i class="fa fa-ship" aria-hidden="true"></i> Subtract Raster Data in Open Source Python 
 
-In this chapter, you will learn how to process raster data, such as cropping and reprojecting rasters, using raster math to derive new rasters, and reclassifying rasters using a set of values. 
-
-## <i class="fa fa-graduation-cap" aria-hidden="true"></i> Learning Objectives
-
-After completing this chapter, you will be able to:
-
-* Use raster math in **Python** to derive new rasters, such as a Canopy Height Model (CHM).
-* Reclassify a raster dataset in **Python** using a set of defined values. 
-* Crop a raster dataset in **Python** using a vector extent object derived from a shapefile.
-* Reproject a raster using **rasterio**.
+After completing this tutorial, you will be able to:
+* Derive a **Canopy Height Model** in `Python` using a Digital Elevation Model and a Digital Surface Model derived from Lidar data. 
+* Subtract one raster layer from another using raster math and open source Python.
 
 ## <i class="fa fa-check-square-o fa-2" aria-hidden="true"></i> What You Need
 
-You will need a computer with internet access to complete this lesson.
+You will need a computer with internet access to complete this lesson and a working version of python version 3.x.
 
 {% include/data_subsets/course_earth_analytics/_data-colorado-flood.md %}
 

_posts/courses/intermediate-earth-data-science-textbook/03-intro-raster/raster-processing-python/2020-02-13-raster00-landing-page-raster-processing.md

@@ -1,7 +1,7 @@
 ---
 layout: single
 title: "Introduction to Raster Data Processing in Open Source Python"
-excerpt: "You can perform the same raster processing steps in Python that you would in a GIS tool like ArcGIS. Learn how to process spatial raster data using Open Source Python."
+excerpt: "You can perform the same raster processing steps in Python that you would in a tool like ArcGIS. Learn how to process spatial raster data using Open Source Python."
 authors: ['Leah Wasser', 'Chris Holdgraf', 'Martha Morrissey']
 dateCreated: 2018-02-05
 modified: 2020-02-14
@@ -29,4 +29,29 @@ topics:
   spatial-data-and-gis: ['raster-data']
 redirect_from:
   - "/courses/earth-analytics-python/lidar-raster-data/subtract-rasters-in-python/"
----
+---
+{% include toc title="On This Page" icon="file-text" %}
+
+<div class='notice--success' markdown="1">
+
+## <i class="fa fa-ship" aria-hidden="true"></i> Chapter Five - Raster Data Processing in Python 
+
+In this chapter, you will learn how to process raster data. You will learn how to 
+crop, reproject and reclassify raster data.
+
+## <i class="fa fa-graduation-cap" aria-hidden="true"></i> Learning Objectives
+
+After completing this chapter, you will be able to:
+
+* Use raster math in **Python** to derive new rasters, such as a Canopy Height Model (CHM).
+* Reclassify a raster dataset in **Python** using a set of defined values. 
+* Crop a raster dataset in **Python** using a vector extent object derived from a shapefile.
+* Reproject a raster using **rasterio**.
+
+## <i class="fa fa-check-square-o fa-2" aria-hidden="true"></i> What You Need
+
+You will need a computer with internet access to complete this lesson.
+
+{% include/data_subsets/course_earth_analytics/_data-colorado-flood.md %}
+
+</div>