Geophysical data for the Continental Shelf and slope. Maps, serves as a base for making geological-geophysical studies of the oceans bottom's crustal The bathymetric map, when combined with the other Practicable a sediment overprint (NOS 1308N-17S). Geophysical MapsĮach consist of three sheets (a base bathymetric map, a magnetic map, and a gravity map), and where Seafloor features and potential fishing grounds. This product is intended to aid fishermen and Topographic maps of the sea floor, produced at a 1:100,000 scale that contain Loran-C rates, bottom sediment types and known bottom obstructions. Management Service's OCS Protraction Diagram data. All 1:250,000 and 1:1000,000 maps are overprinted with the Minerals Geologists, and those interested in the coastal zone and the Outer Continental Shelf's (OCS) They may also be used by land-use planners, conservationists, oceanographers, marine Maps support the Coastal Zone Management and Energy Impact Programs and the offshore oil and gas

Geological Survey (USGS) land topography. Topo/Bathy Mapsĭetailed multipurpose maps of NOS bathymetry and US

Studies, that are required in the development of energy and marine resources. Serves as a tool for performing scientific, engineering, marine geophysical and environmental

Detailed depth contours provide the size, shape and distribution of underwater features. Accuracy can be further improved by integrating other locally-relevant information into the model and running it again.Topographic maps of the sea floor. Note: current model accuracy is approximately 70% when compared to existing ground-truthed data. You can find the model code and documentation here: The model documentation and code are also available, so data scientists and planners globally can replicate the model to expand model coverage to other countries where this data is not already available. The grid maps are produced using a new methodology that employs various publicly-available datasets (night time satellite imagery, roads, political boundaries, etc) to predict the location of existing MV grid infrastructure. The data found here are model outputs for six select African countries: Malawi, Nigeria, Uganda, DRC, Cote D’Ivoire, and Zambia. the distribution lines which connect high-voltage transmission infrastructure to consumer-serving low-voltage distribution. Facebook has produced a model to help map global medium voltage (MV) grid infrastructure, i.e.

Global grid map