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Found 411 dataset(s) matching "Urban environment".
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The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County,...
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The Russian River Watershed (RRW) covers about 1300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County,...
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The purpose of this data release is to provide the original data, analysis methods, and nitrogen loading models in support of a study of the upper South Platte River annual total nitrogen loads...
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Proliferation of cheatgrass and other exotic annual grasses such as medusahead and ventenata are a major environmental concern and operational problem for roadsides in Idaho. These annual grasses...
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This data release codifies and attributes explanatory factors that could potentially impact groundwater quality at 49 groundwater sites used for domestic water supply in the Sacramento...
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The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County,...
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To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland...
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The Gunnison sage-grouse (Centrocercus minimus) habitat suitability surface for San Miguel satellite population represented here reflects breeding season at a landscape scale context (window...
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The Columbia Slough is located south and parallel to the Columbia River in Portland, Oregon and consists of approximately 19 miles of predominantly urbanized waterway that drains approximately...
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This dataset entails the delineation of impervious surfaces and artificial land cover types extracted from aerial imagery captured in early 2019.<br> <b>Utilization within the City of...
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A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment...
