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This database contains spatial data on the location, number, size and extent of energy-related surface disturbances within the Bureau of Land Management’s (BLM) Carlsbad Field Office (CFO) administrative area. The BLM administers over 2 million acres of surface estate and 3 million acres of mineral estate in the southeastern portion of New Mexico. The BLM requires a thorough and comprehensive reasonable foreseeable development (RFD) scenario which quantifies the current and future potential of oil and gas resources and the necessary water use associated with those activities. The database includes: 1) polygons of oil and gas pads generated from automated and manual classification of aerial imagery, 2) polylines...
This is a spatially referenced water quality dataset for the Lower Columbia River in July 2016. The data were collected using the FLAMe water quality mapping platform having a YSI EXO2 multiparameter sonde, and an LGR greenhouse gas analyzer.
Categories: Data;
Tags: Columbia River,
Geochemistry,
John Day River,
Snake River,
USGS Science Data Catalog (SDC),
This dataset consists of a statewide GIS database of oil and gas pipelines for the state of Wyoming. It was produced under contract to the Wyoming State Energy Commssion by the Wyoming State Geological Survey with the help of various companies and government agencies. It contains oil, gas, CO2, product, and proposed pipelines with a variety of attribution. This dataset is to be completed Sept 25, 2002 and will be updated periodically in the future.
Federal Oil & Gas Leases managed by the BLM Buffalo Field Office
Categories: Data;
Types: Downloadable;
Tags: BLM,
Buffalo Field Office,
Powder River Basin,
Wyoming,
economy,
This dataset assesses cumulative anthropogenic disturbance impacts on the landscape in Wyoming, improving methodology outlined by Copeland et al. (2007). We gathered known datasets that represented the impacts of human activities within the state of Wyoming. The following dataset layers were combined into one single raster grid: agricultural lands, mines, oil and gas pipelines, oil and gas wells, power lines, residential development, roads, and wind turbines. We assigned weights, cutoff distance of impact, and decay functions to each dataset layer (e.g., roads, etc.) to assign a cost surface value to each dataset. The value is derived from the weighted distance of the impact; the assigned value diminishes as distance...
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