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Service Description: This forest cover type map was created over a portion of Lake County, Minnesota using European Space Agency (ESA) Sentinel-1 and sentinel-2 data. Classifications were created using field & digitized training data, and a randomForest classifier in Google Earth Engine (GEE). Four Sentinel-1 and 15 Sentinel-2 scenes were used, with image dates accessed in GEE ranging from spring 2017 to fall 2019. Training plots were collected in the field summer 2017 and 2018. Additional training plots were digitized using 2018 fall color imagery and Minnesota Department of Natural Resources Division of Forestry's Forest Inventory Module (FIM) polygons. The Sentinel-1 and Sentinel-2 image information corresponding with the field location were extracted and used in a randomForest classifier in R. The resulting optimized forest cover type model was applied across all of the input imagery in GEE to produce the final cover type classification. The overall accuracy for the Lake County area forest cover type map was 81%, with specific class accuracies reported under positional accuracies
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Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
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Spatial Reference: 102100
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Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
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Comments: This normalized digital surface model (nDSM) was part of a suite of datasets produced during a forest inventory enhancement research project, funded by the Environment and Natural Resources Trust Fund in 2016. The nDSM was produced at 1-m spatial resolution using high density lidar point cloud LAS files and USFS FUSION software. The source lidar was collected in October 2017 using single photon lidar (SPL; green laser) by Quantum Spatial Inc (QSI). There were on average 27.8 points per square meter. An nDSM is a height above ground model, where every pixel represents the elevation of the highest lidar return among all lidar returns within the grid cell. The production of the nDSM involved two basic steps: 1) filtering ground returns (i.e., points that sit on top of the bare-earth) to create a ground surface model, and 2) subtracting the ground elevations from all other above ground lidar return elevations. Any elevation values less than zero and above 50-m were not included. The information displayed here, summarizing the above ground height of a pixel, is even more useful with the picture. Accompanied by this lidar was four band aerial photography, also available by Web Mapping Service on the Minnesota Geospatial Commons. Having both height and visual information available, analysts and managers can strategically plan with data-driven results
Subject: Normalized Digital Surface Model (nDSM) of part of Cass County
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Keywords: covertype,cover,forest,lake
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
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Supported Query Formats: JSON, geoJSON
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Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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