Tree mapping is a task that is better done in person than using aerial imagery, unless it is a tree row. The reasoning being that node placement of natural=tree is more precise than looking from above, since more often than not the imagery is not that clear.

Trees tell a story

When looking at this area it is fascinating how one can make out man made structures relative to the placement of trees.

Further once adding the leaf_cycle and leaf_type one can create shade maps that could be practical during heat waves like at mapasdesombra.org or if jveuxdusoleil.fr extended its algorithm to include tree details as well.

One can add the tree’s height and diameter with a check date to create a timeline of the tree’s lifespan, though also add more potential data points in ecological terms.

Or one can add the genus and/or species to ease the search for foragers like mundraub does with their overlay map.

Tree specification

Some tree genus are easier to identify than others like Acer or Quercus, though others are a bit trickier like Aesculus vs Castanea or Betula vs Populus.

Recently discovered that the simple distinction between Sorbus and Fraxinus (Mastodon) disregards the Acacia, Aralia spinosa, and Robinia trees.

Quick Overview