Metadata: Minnesota Restorable Wetland Index

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: None

Contact Person Information: Will Bartsch, Senior Research Scientist
Natural Resources Research Institute
5013 Miller Trunk Hwy
Duluth, MN  55811
Phone: 218-788-2669
Email: wbartsch@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.


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

Vertical Datum:

Vertical Units:

Depth Datum:

Depth Units:

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:

Publication Date: 11/15/2019

Contact Person Information: Catalog Manager,
Natural Resources Research Institute
5013 Miller Trunk Hwy
Duluth, MN  55811
Phone: 218-788-2767
Email: knixon@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,
Natural Resources Research Institute
5013 Miller Trunk Hwy
Duluth, MN  55811
Phone: 218-788-2767
Email: knixon@d.umn.edu

Metadata Standard Name: Minnesota Geographic Metadata Guidelines

Metadata Standard Version: 1.2



This page last updated: 11/15/2019
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