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Ministry of Environment and Climate Change Strategies with the financial support of Fish and Wildlife Compensation Program (Peace Region), to complete mapping of wetland and riparian units representing wetland extent and classification [e.g., fen, bog, marsh, swamp, flooded] using a Random Forest machine learning approach for the Williston Lake Watershed. BAPID=6538.
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Author: Filatow, D.; Harvey, G.; Cameron, E.; and Carswell, T.
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Old Reference Number: 6538
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Old Reference System: BAPID
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Date Published: Jun 2020
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Report ID: 58802
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Audience: Government and Public
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The Ministry of Environment signed a Letter of Agreement with the Fish and Wildlife Compensation Program (FWCP) to map wetland and riparian areas within the FWCP Peace region as available ecosystem mapping products lacked coverage and were cost prohibitive to map the remainder of the area.
This mapping project builds on the data and methodology developed in a previous project (BAPID 6492), with the goal to improve the understanding of abundance, distribution and connectivity of wetlands in the FWCP Peace. A Random Forest modelling approach was used to map riparian areas and wetlands across the 7.2 million hectare FWCP Peace region at a 25m pixel resolution. Improved 3-category (water, wetland, upland), 10-category (bog, fen, swamp, marsh, low-bench floodplain, mid-bench floodplain, high-bench floodplain, shallow water wetland, upland, and water) and 46-category predictive wetland raster maps were produced. Model results were validated using field observations collected during the summer of 2017, 2018, and 2019. The 3-category map is 86.7% accurate at predicting wetland, upland and water across the FWCP Peace Region, and had an internal model accuracy of 93% making it a reliable tool for use in wetland and riparian ecosystem planning and management. The 10-category map has an accuracy of 53% and should be used with caution. The 46-category raster prediction is not reliable and should not be used.When compared to models produced for BAPID 6492, model accuracy improved by 13% for the 3-category, and 7% for the 10-category predictions across the FWCP Peace region. At the sub-basin level, the 3-category prediction was improved by 3% in the Finlay sub-basin and 14% in the Parsnip sub-basin where new training points were added.
Importantly, methods and products were specifically designed for openness and transparency, thereby increasing value through further use and extension opportunities. Further considerations for extending the product to a wetland management context, as well as data and model improvements as part of continuous improvement cycle are presented herein.
Key results from this project include the 3-category raster prediction (20190926-103025_map_recl.tif), 10-category raster prediction (20190627_114031_map_recl.tif), and an Esri ArcGIS interactive mapping application (https://catalogue.data.gov.bc.ca/dataset/1d174499-72af-41d5-ad5e-19460b1e6fb1).
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Report Type
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Fish and Aquatic Habitat Information |
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Subject
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Biogeoclimatic Zone - BWBS Boreal White and Black Spruce Zone |
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Biogeoclimatic Zone - ESSF Engelmann Spruce - Subalpine Fir Zone |
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Biogeoclimatic Zone - SBS Sub-Boreal Spruce Zone |
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Biogeoclimatic Zone - SWB Spruce - Willow - Birch Zone |
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Region - Peace |
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Vegetation - Riparian |
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Watershed Groups - 230 - Peace River |
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Watershed Groups - 236 - Parsnip River |
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Watershed Groups - 239 - Finlay River |
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