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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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This raster dataset depicts percent canopy cover derived from 1-m conifer classifications when aggregated to 30-m cells. Conifer features were classified from 2010, 2012, and 2013 NAIP Digital Ortho Quarter Quads (DOQQ) using the Feature Analyst 5.0 extension for ArcGIS 10.1. Tiles were organized and grouped by Nevada Department of Wildlife Population Management Unit (PMU) locations, plus a 10 km area beyond the PMU extent. Analysts visually identified conifers in the imagery using false color infrared settings and digitized multiple trees per tile as training locations for classification. After performing hierarchical learning and clutter removal with Feature Analyst to remove non-conifer features on output shapefiles,...


map background search result map search result map Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Percent canopy cover of conifers within Nevada and northeastern California sage-grouse habitat (2017) Percent canopy cover of conifers within Nevada and northeastern California sage-grouse habitat (2017) Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area