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Prairie Landscape Inventory (PLI) - Aspen Parkland Classification
Land cover classification image for the Aspen Parkland ecoregion of Saskatchewan with a spatial resolution of 10m. The goal of this land cover classification was to distinguish native from tame grasslands. The classification was based on Sentinel-1 and Sentinel-2 imagery using machine learning analysis in the Google Earth Engine platform. The classification was conducted on imagery acquired in 2022, and the classification model was built with field data collected in 2020 - 2022. There are eight classes in total: native grassland, tame grassland, mixed/altered grassland, cropland, shrubs, trees, water, and urban area. Download: here The Prairie Landscape Inventory (PLI) aims to develop improved methods of assessing land cover and land use for conservation. Native grassland has historically been one of the hardest to map at-risk ecosystems because of the challenges in distinguishing native grassland from tame grassland land cover using remotely sensed imagery. This classification distinguishes native grassland from tame grassland and will provide valuable information for habitat suitability for native grassland species, identifying high biodiversity potential and invasion risk potential. The classification map has eight (8) classes: 1. Cropland This class represents all cultivated areas with crop commodities, including corn, pulse, soybeans, canola, grains, and summer-fallow. 2. Native grassland This class represents the native grassland areas that are composed of at least 75% native grass, sedge and forb species, such as the needle grasses and wheatgrasses along with June grass and blue grama grass. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project. 3. Mixed/altered grassland This class represents a grassland with a mix of less than 75% native grass, sedge and forb species or less than 75% tame species. These are grassland areas that do not fit into either of the native or tame grassland definitions. 4. Tame grassland This class represents the tame grassland areas that are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, Kentucky bluegrass, alfalfa, and sweet clover. 5. Water This class represents permanent water locations such as lakes and rivers. 6. Shrubs This class represents the sites dominated by woody vegetation of relatively low height (generally +/-2 meters) with shrub canopy typically >20% of total vegetation cover. 7. Trees This class represents the coniferous/deciduous trees, mixed-wood area, and other trees >2 meters height with tree canopy typically >20% of total vegetation cover. 9. Urban area This class represents both urban municipalities and buffered roads. Urban municipalities was used to mask the urban/developed area class of the Annual Crop Inventory 2021 (Agriculture Agri-Food Canada). Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native grassland 168 168 0 3 Mixed/altered grassland 199 215 158 4 Tame grassland 245 202 122 5 Water 190 232 255 6 Shrubs 205 102 153 7 Trees 66 128 53 9 Urban area 128 128 128 Accuracy metrics This model has an overall accuracy of 73 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset. Class User’s accuracy (%) Producer’s accuracy (%) F1-score Cropland 91.2 94.5 0.93 Native grassland 74.8 73.1 0.74 Mixed grassland 44.7 44.1 0.44 Tame grassland 67.9 72.8 0.70 Water 94.8 91.3 0.93 Shrubs 61.2 51.1 0.56 Trees 89.7 94.6 0.92
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Prairie Grassland Land Cover
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The Grassland Inventory provides a standardized, high-resolution land cover classification for the grassland ecosystems in Canada. Developed using a random forest classification on multi-temporal Sentinel-1 SAR and Sentinel-2 Optical imagery, the series differentiates intact native grasslands from high-disturbance, tame perennial forage systems; two classes that are spectrally and phenologically similar, yet critical to differentiate and quantify accurately for carbon and biodiversity modelling. Each release in the series includes a categorical 10 m land cover raster and a companion continuous likelihood layer representing model confidence in the native grassland class. As new classifications are added (semi-decadal) and geographic extent increased, the series will enable consistent temporal comparisons to track grassland dynamics and land cover change to support operational and research applications within AAFC and stakeholders.
Field data for the Vegetation Mapping Inventory Project of Tallgrass Prairie National Preserve - Open Format Data Package
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These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Tallgrass Prairie National Preserve. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
Field data for the Vegetation Mapping Inventory Project of Tallgrass Prairie National Preserve - Open Format Data Package
공공데이터포털
These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Tallgrass Prairie National Preserve. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
Field data for the Vegetation Mapping Inventory Project of Grand Canyon National Park, Parashant National Monument - Open Format Data Package
공공데이터포털
These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Grand Canyon National Park, Parashant National Monument. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
Field data for the Vegetation Mapping Inventory Project of Grand Canyon National Park, Parashant National Monument - Open Format Data Package
공공데이터포털
These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Grand Canyon National Park, Parashant National Monument. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.
Geospatial data for the Vegetation Mapping Inventory Project of Tallgrass Prairie National Preserve
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The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Polygons were assigned map class number and name. The vegetation community polygons and other related and supporting data were then incorporated into a geodatabase format. The data recorded on the field forms were subsequently entered into the PLOTS database and reviewed for data entry errors by Kansas Natural Heritage Inventory staff. The results were imported from the database into a GIS layer where they were visually compared in two stages to the vegetation map coverage.