MtA2C Potential Vernal Pools

Mar 11, 2019 (Last modified May 15, 2019)
Uploaded by Justin Schlawin
Description:
This is a layer of potential vernal pools in six towns in southern Maine: Eliot, Kittery, Ogunquit, South Berwick, York and Wells. This layer was crated using LIDAR data and a random forest routine. Training data was supplied by Maine Department of Inland Fisheries and Wildlife, and 36 remote sensing variables were used to construct the model. The random forest 'probability' function was used to classify potential vernal pools into 'High', 'Medium', and 'Low' vernal pool probability. Potential vernal pools are mapped to a 2m horizontal resolution with a minimum mapping unit of 25 m2.
Data Provided By:
Justin Schlawin, Maine Natural Areas Program
Content date:
not specified
Contact Organization:
Mount Agamenticus to the Sea
Contact Person(s):
Use Constraints:
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
Layer:
Layer Type:
Currently Visible Layer:
All Layer Options:
Layers in this dataset are based on combinations of the following options. You may choose from these options to select a specific layer on the map page.
Description:
Spatial Resolution:
Credits:
Citation:
Purpose:
Methods:
References:
Other Information:
Time Period:
Layer Accuracy:
Attribute Accuracy:
FGDC Standard Metadata XML
Click here to see the full FGDC XML file that was created in Data Basin for this layer.
Original Metadata XML
Click here to see the full XML file that was originally uploaded with this layer.
This dataset is visible to everyone
Dataset Type:
Layer Package
Downloaded by 1 Member
Bookmarked by 1 Member

About the Uploader

Justin Schlawin
Ecologist with Maine Natural Areas Program

I am an ecologist with the Maine Natural Areas Program and specialize in community ecology, botany, and and statistical analysis. My work has included rapid detection of vernal pools through remote sensing, gap analysis for habitats under-represented in Maine's conserved lands and collaboration with...