Filters: Tags: vegetation map (X) > Date Range: {"choice":"year"} (X)
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Creating a detailed vegetation classification and digital map for Squaw Creek National Wildlife Refuge to use for habitat management decisions and tracking land use changes.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
2013,
Academics & scientific researchers,
Data Acquisition and Development,
Datasets/Database,
This data release includes a file geodatabase with land cover maps for a 313-kilometer segment along the mainstem Klamath River corridor downstream from Iron Gate Dam, CA. The maps were derived from high-resolution (15cm) imagery and topobathymetric elevation data, collected by NV5 Geospatial (formerly QSI, Inc) and published on Open Topography (https://doi.org/10.5069/G9DN436N). Acquisition dates spanned 06/01/2018 to 06/14/2018. The area of interest was discretized into three zones and land cover maps were generated using geoprocessing tools, implemented in ArcMap 10.8.1, and image classification tools, implemented in Ecognition 10.2. The maps include six land cover classes: 1) trees, 2) shrubs, 3) grass, 4) bare...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Canopy Height Model,
Dam Removal,
Geomorphology,
Hydrology,
Creating a detailed vegetation classification and digital map for Squaw Creek National Wildlife Refuge to use for habitat management decisions and tracking land use changes.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
Data,
Data Acquisition and Development,
Data.gov,
Datasets/Database,
Final vegetation map of Saratoga National Historical Park provides local names for vegetation types, as well as crosswalks to the U.S. National Vegetation Classification (USNVC), including association, alliance, group, macrogroup, diviison/formation, and subclass/class level attributes. This dataset was corrected post-Accuracy Assessment, so the thematic accuracy is not known. The original pre-Accuracy Assessment dataset has an accuracy that has been determined, and this is the "corrected", but untested, version.
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