Goals

In this lab, we will analyze Landuse/landcover (LULC), tree canopy cover, and imperviousness in Monroe County and discuss the relationship between demographics and land cover. We will use useful GIS tools in Geoprocessing to manage vector, raster, and text format data, calculate statistics, and edit field names in the attribute table.

Skills

The purpose of this lab is to help you practice the following skills that are essential to your success in this course, as well as in professional settings beyond school.

• Extract by mask to clip raster data with a polygon.
• Data conversion from raster to vector.
• Dissolve to a clump polygon feature on a specific attribute.
• Calculate Field in the attribute table to calculate the percentage of each LULC.
• Zonal statistics as Table to calculate the mean tree and impervious cover of each census tract.
• Join the statistics table to the census track polygon.
• Edit Alias in the attribute table.

Lab Data Sources

• Raster data from the Multi-Resolution Land Characteristics (MRLC) Consortium (https://www.mrlc.gov/)
  • NLCD2019. img: 30-meter resolution National Land Cover Dataset in 2019
  • NLCD_2016_Tree_Canopy.tiff: 30-meter resolution percent tree canopy evaluation for each pixel
  • NLCD_2019_Impervious.tiff: 30-meter resolution percent imperviousness evaluation for each pixel
• Vector
  • Monroe County Census Tract: The 2020 census tract shapefile is from TIGER/Line Geodatabases (https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html).
• Text
  • The 2020 Census data were downloaded from the US Census Bureau (https://data.census.gov/cedsci/), joined to the census tract shapefile, and edited by Yuri Kim.