EXAMPLE USAGE
These geo-referenced image files estimate the tree canopy for four New Hampshire cities: Concord, Manchester, Nashua, and Rochester.
We made this layer for a project about heat-related illnesses, which was published through the Collaborative in summer 2021. We wanted to estimate tree cover because trees are closely related to several environmental factors at the neighborhood level, including heat. We found, however, that this layer wasn’t available for NH, so we decided to make it ourselves.
We made the layer in ArcMap and ArcGIS Pro by approximating part of a workflow used by the University of Vermont’s Spatial Analysis Lab to identify trees from a combination of LiDAR and satellite imagery (NAIP NDVI).
Our layer identifies most trees in each city, but there are still some errors (e.g., trees that we’ve missed, or other objects that we’ve accidentally labelled as trees), so we think the map is currently only useful for seeing patterns at the level of the city or neighborhood. We’re currently working on making it more accurate.
Type: Spatial
File: Raster (.tif)
Sources: NH GRANIT (LiDAR), USGS (NAIP NDVI)
Last Updated: August 2021