A GIS Analysis of the Relationship Between NDVI Value, Slope, and Aspect of the Terrain of the Prairie Restoration Project.
Faculty Mentor
Stacy Warren
Presentation Type
Poster
Start Date
4-14-2026 11:30 AM
End Date
4-14-2026 1:30 PM
Location
PUB NCR
Primary Discipline of Presentation
Geosciences
Abstract
The Prairie Restoration Project (PRP) encompasses 115 acres of land on the west side of the EWU campus. The goal of the PRP is to restore what was once a section of wheat farm back to its original Palouse prairie state. Here, I am using publicly available satellite data to examine some potential variables affecting the health of wheat plants planted in the years 2009 to 2017. I have used 4-band aerial imagery collected by the National Agricultural Imagery Program (NAIP) to create a map of NDVI values within the bounds of the PRP, which visualizes the near-infrared wavelengths that are reflected by healthy, chlorophyll-rich plants. This data was reclassified into two values (“healthy” and “unhealthy”) based on an average NDVI for this region provided by the NOAA NDVI map. I will also be using LIDAR data provided by the USGS and tools available within ArcGIS to visualize the slope and aspect of the PRP terrain. This combination of data may provide us some insight into the significance of the relationship between the terrain of the PRP and the variable health of new plant growth introduced to the site.
Recommended Citation
Lund, Basil, "A GIS Analysis of the Relationship Between NDVI Value, Slope, and Aspect of the Terrain of the Prairie Restoration Project." (2026). 2026 Symposium. 19.
https://dc.ewu.edu/srcw_2026/ps_2026/p2_2026/19
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
A GIS Analysis of the Relationship Between NDVI Value, Slope, and Aspect of the Terrain of the Prairie Restoration Project.
PUB NCR
The Prairie Restoration Project (PRP) encompasses 115 acres of land on the west side of the EWU campus. The goal of the PRP is to restore what was once a section of wheat farm back to its original Palouse prairie state. Here, I am using publicly available satellite data to examine some potential variables affecting the health of wheat plants planted in the years 2009 to 2017. I have used 4-band aerial imagery collected by the National Agricultural Imagery Program (NAIP) to create a map of NDVI values within the bounds of the PRP, which visualizes the near-infrared wavelengths that are reflected by healthy, chlorophyll-rich plants. This data was reclassified into two values (“healthy” and “unhealthy”) based on an average NDVI for this region provided by the NOAA NDVI map. I will also be using LIDAR data provided by the USGS and tools available within ArcGIS to visualize the slope and aspect of the PRP terrain. This combination of data may provide us some insight into the significance of the relationship between the terrain of the PRP and the variable health of new plant growth introduced to the site.
