Minnesota Restorable Wetland Index

This page last updated: 11/15/2019
Metadata created using Minnesota Geographic Metadata Guidelines


Go to Section:
1. Overview
2. Data Quality
3. Data Organization
4. Coordinate System
5. Attributes
6. Distribution - Get Data
7. Metadata Reference

Section 1 Overview
Originator Natural Resources Research Institute - UMD
Title Minnesota Restorable Wetland Index
Abstract The Minnesota Restorable Wetland Index (RWI) was developed by the Natural Resources Research Institute (NRRI) in collaboration with the Minnesota Department of Natural Resources (MN DNR). The RWI was developed statewide on a 3m grid by applying machine learning models to predict location of existing and restorable wetlands based on hydrological, geomorphological, and geological variables. Post-processing was done to remove existing wetlands and smooth the results. This data layer replaces the original NRRI Restorable Wetland Inventory that was developed statewide on a 30m grid using a different methodology.
Purpose The purpose of this index is to provide land managers and organizations information on the location of potentially restorable wetlands.
Time Period of Content Date 11/15/2019
Currentness Reference This product was developed in 2019 using the most current versions of input data available at the time.
Progress Complete
Maintenance and Update Frequency None Planned
Spatial Extent of Data State of Minnesota
Bounding Coordinates -84.8
-97.269
49.316
43.455
Place Keywords Minnesota
Theme Keywords wetland, RWI, restorable wetland index, restorable wetland inventory, water
Theme Keyword Thesaurus
Access Constraints None
Use Constraints This data is licensed under the Creative Commons CC BY 4.0. https://creativecommons.org/licenses/by/4.0/
Contact Person Information Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu
Browse Graphic None available
Associated Data Sets

Section 2 Data Quality
Attribute Accuracy Out-of-bag testing with the randomForest package indicated that uplands were classified with an error rate of 12% and wetlands and restorable wetlands were classified with an error rate of 15%.
Logical Consistency
Completeness Complete
Horizontal Positional Accuracy
Lineage Input Data:
-MN DNR National Wetland Inventory (vector)
-MN DNR Hydrography (vector)
-MN DNR Ecological Classification System (vector)
-MN DNR Digital Elevation Model (3m)
-MN DNR Topographical Position Indexes (3m)
-MN DNR Hydrologic Position Indices (3m)
-MN DNR Compound Topographic Index (3m)
-MN DNR Slope (3m)
-NRRI Normalized Difference Vegetation Index (10m)
-NRRI Normalized Difference Water Index (10m)
-USDA Hydric soil status (10m)

Modeling and Processing:
Random Forest modeling was used to predict the probability of a pixel being either an upland or an existing wetland or restorable wetland. The model had 15 predictive variables:
-Distance to nearest wetland
-Distance to nearest stream
-Ecological Classification System Provinces and Sections
-Elevation
-Topographical Position Indices at radii of 100m, 150m, 200m, and 240m
-Hydrologic Position Index
-Compound Topographic Index
-Slope
-Normalized Difference Vegetation Index
-Normalized Difference Water Index
-Hydric soil status

Vector data were converted to 3m grid data. 10m grid data were sampled to align with the 3m grid. The randomForest and raster packages in R (version 3.4.4) were used to develop and apply the two-way classification Random Forest model. Approximately 6000 points with field-verified wetland and upland status and 300 remote-verified points of restorable wetlands were provided by the Minnesota Department of Natural Resources and were used for training and verification of the model. Out-of-bag testing with the randomForest package indicated that uplands were classified with an error rate of 12% and wetlands and restorable wetlands were classified with an error rate of 15%. The model was then applied to the entire state using the Mesabi High Performance Computing System of Minnesota Supercomputing Institute.
Post-processing of the model output was conducted using ArcMap 10.6 to highlight pixels which are most likely to represent restorable wetlands. The first step was masking out existing National Wetland Inventory wetlands (except for those that are identified as farmed or partially drained or ditched). The second step was classifying pixels based on the probability of being a wetland/restorable wetland. A five-class system was used. Classes were assigned based on the probability of being a wetland/restorable wetland:
0.0 - 0.2 = 1
0.2 - 0.4 = 2
0.4 - 0.6 = 3
0.6 - 0.8 = 4
0.8 - 1.0 = 5

The final step was to smooth the results by aggregating individual or small groups of pixels into common classes using a majority pass filter. The RWI development process and final product were reviewed by regional wetland experts.

Funding:
Development of the RWI was supported by funding from the MN State Legislature.

Development of the MN DNR Elevation, Topographic Position Indexes, Hydrologic Position Index, Compound Topographic Index, and Slope was supported by funding from the Environment and Natural Resource Trust Fund.

The authors acknowledge the Minnesota Supercomputing Institute (MSI) at the University of Minnesota for providing resources that contributed to the research results. URL: http://www.msi.umn.edu

Authors involved in the development of this dataset:
Lucinda Johnson, Senior Research Fellow (formerly, Director of Research)
Will Bartsch
Katya Kovalenko
Steve Kloiber (MN DNR)
Kristi Nixon


Section 3 Spatial Data Organization (not used in this metadata)

Section 4 Coordinate System
Horizontal Coordinate Scheme Universal Transverse Mercator
UTM Zone Number 15
Horizontal Datum NAD83
Horizontal Units meters

Section 5 Attributes
Overview
Detailed Citation
Table Detail:
RWI
Field NameValid ValuesDefinitionDefinition Source
ValueenumeratedClassification of the probability of being a wetland or restorable wetland
10.0 - 0.2
20.2 - 0.4
30.4 - 0.6
40.6 - 0.8
50.8 - 1.0


Section 6 Distribution
Publisher Natural Resources Research Institute (NRRI)
Publication Date 11/15/2019
Contact Person Information Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu
Distributor's Data Set Identifier
Distribution Liability
Ordering Instructions
Online Linkage None available

Section 7 Metadata Reference
Metadata Date 11/15/2019
Contact Person Information Catalog Manager,
University of Minnesota, Natural Resources Research Institute
5013 Miller Trunk Highway
Duluth, MN  55803
Phone: 218-788-2694
Email: nrri-gis@d.umn.edu
Metadata Standard Name Minnesota Geographic Metadata Guidelines
Metadata Standard Version 1.2
Metadata Standard Online Linkage http://www.mngeo.state.mn.us/committee/standards/mgmg/metadata.htm


This page last updated: 11/15/2019
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