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 Name | Valid Values | Definition | Definition Source |
---|---|---|---|
Value | enumerated | Classification of the probability of being a wetland or restorable wetland | |
1 | 0.0 - 0.2 | ||
2 | 0.2 - 0.4 | ||
3 | 0.4 - 0.6 | ||
4 | 0.6 - 0.8 | ||
5 | 0.8 - 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 |