small fixes

carpentries-incubator · Jul 25, 2023 · fc521a0 · fc521a0
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diff --git a/episodes/01-intro-raster-data.md b/episodes/01-intro-raster-data.md
@@ -57,7 +57,7 @@ Some examples of continuous rasters include:
 2. Maps of tree height derived from LiDAR data.
 3. Elevation values for a region.
 
-A map of elevation for Harvard Forest derived from the [NEON AOP LiDAR sensor](http://www.neonscience.org/data-collection/airborne-remote-sensing)
+A map of elevation for Harvard Forest derived from the [NEON AOP LiDAR sensor](https://www.neonscience.org/data-collection/airborne-remote-sensing)
 is below. Elevation is represented as a continuous numeric variable in this map. The legend
 shows the continuous range of values in the data from around 300 to 420 meters.
 

diff --git a/episodes/03-crs.md b/episodes/03-crs.md
@@ -83,7 +83,7 @@ peel is similar to how projections get made.
 
 A projection is how you peel your orange and then flatten the peel.
 
-![Projection Citrus Peel Example[Image source](http://blogs.lincoln.ac.nz/gis/2017/03/29/where-on-earth-are-we/)](../fig/E03-02-orange-peel-earth.jpg)
+![Projection Citrus Peel Example ([Image source](http://blogs.lincoln.ac.nz/gis/2017/03/29/where-on-earth-are-we/))](../fig/E03-02-orange-peel-earth.jpg)
 
 * An additional parameter could include a definition of the location of the
 stem of the fruit. What other parameters could be included in this analogy?
@@ -96,7 +96,7 @@ To decide if a projection is right for your data, answer these questions:
   *  What is the area of minimal distortion?
   *  What aspect of the data does it preserve?
 
-[Peter Dana from the University of Colorado at Boulder](https://foote.geography.uconn.edu/gcraft/notes/mapproj/mapproj_f.html) and the [Department of Geo-Information Processing](https://kartoweb.itc.nl/geometrics/Map%20projections/mappro.html) has a good discussion of these aspects of projections. Online tools like [Projection Wizard](http://projectionwizard.org/) can also help you discover projections that might be a good fit for your data.
+[Peter Dana from the University of Colorado at Boulder](https://foote.geography.uconn.edu/gcraft/notes/mapproj/mapproj_f.html) and the [Department of Geo-Information Processing](https://kartoweb.itc.nl/geometrics/Map%20projections/mappro.html) have a good discussion of these aspects of projections. Online tools like [Projection Wizard](http://projectionwizard.org/) can also help you discover projections that might be a good fit for your data.
 
 :::callout
 ## Data Tip