usf-imars / gubachs Goto Github PK

Lugo and Snedaker (1974) (modified after Mendelssohn and McKee 2000)

The UN System of Environmental Economic Accounting developed a Land Cover Classification System (LCCS)

Land Cover Classification System

Also useful:

• LCML - land cover meta language : has also been developed for use as a framework for clas-sifying land cover and comparing systems internationally.

Ref page 178 in this pdf.

Florida Cooperative Land Cover Map

Existing habitat description publication- mangroves of Puerto Rico by DNER

• USGS data on ocean data viewer
• global mangrove watch 18m global product

https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/Datasets/us_cropland.ipynb

• FL CLC

https://en.wikipedia.org/wiki/Cowardin_classification_system

• 2019 release in GEE

Came across this habitat classification scheme in this NOAA+USGS GoMA CMAP report.

The suggested appedix is actually completely unhelpful for defining these terms and is actually an SOP for a monitoring program of data like this.
Not sure how definitions of data terms got left out, but I didn't see them.

Yet another one to add to the list: https://allencoralatlas.org/

Data not available via API (yet).

GUBaCHS aims to address the issue of comparing multiple classification hierarchies for habitat classification.
What tools exist for comparing classification hierarchies?

...I don't know of many.
This may be somewhat of an open data visualization/analysis problem.

A related project/publication on creating DiffTrees from hierarchies is "TreeVersity" from the CATT lab.
Although this focuses on hierarchies more resembling budgets I think there are a lot of useful concepts we could use here.
Two versions of treeversity exist:

• v1 on github in java. unlicensed.
• TreeVersity2 web app. closed-source(?) javascript

Extending this concept further we might create a similar visualization for classification hierarchies like those listed here.
Challenges might include:

1. comparing >2 trees
2. node class definitions between trees are slightly different. ie: "forest" from one hierarchy may not be 100% identical to "forest" in another hierarchy

It seems like an interesting dataViz problem that also has valuable application in this space and may be generally useful to other communities.
I would expect multiple publications from pursuing this.
One CS pub outlining the concept and another applying the methods to the hierarchies in GUBaCHS.

I would be excited to start writing code to create these visualizations but need to identify co-authors who would be interested discussing these ideas and playing with the prototypes.

https://www.fia.fs.fed.us/

FIA reports on status and trends in forest area and location; in the species, size, and health of trees; in total tree growth, mortality, and removals by harvest; in wood production and utilization rates by various products; and in forest land ownership.

U.S. Fish & Wildlife Service National Wetlands Inventory contains land class catagories.

https://www.fws.gov/wetlands/