Skip to main content
Advanced Search

Filters: Types: GeoTIFF (X) > Extensions: ArcGIS Service Definition (X)

20 results (183ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This project aims to improve seasonal water supply forecasts on the Upper Rio Grande River basin and, in doing so, help to minimize the substantial costs associated with erroneous forecasts and related sub-optimal allocations of water for surface irrigation, groundwater recharge and endangered specifies management. Erroneous seasonal water supply forecasts in the Upper Rio Grande River basin have a profound impact on water management, agricultural production and economic vitality.The specific goals of this project are to: Develop state-of the art precipitation and snowpack monitoring products through the use of experimental radar, surface observations and land data assimilation systems Improve the spatial and...
Categories: Data, Project; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: CO-03, Colorado, Colorado, Data Acquisition and Development, Federal resource managers, All tags...
thumbnail
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at the following 8 USGS lake gages on Lake Ontario: A – Lake Ontario (Thirtymile point) at Golden...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment B - Lake Ontario...
thumbnail
This dataset has been archived; it has been superseded by version 2.0 (November 2021) which can be found at https://doi.org/10.5066/P95PT2RV. Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment E - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment G - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment C - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment H - Lake Ontario...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment F - Lake Ontario...
thumbnail
This raster depicts the percentage of lithological aluminum oxide (Al2O3) content in surface or near surface geology. We derived these rasters by calculating the average percent Al2O3 content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological magnesium oxide (MgO) content in surface or near surface geology. We derived these rasters by calculating the average percent MgO content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological phosphorus pentoxide (P2O5) content in surface or near surface geology. We derived these rasters by calculating the average percent P2O5 content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet...
thumbnail
This raster depicts the percentage of lithological nitrogen (N) content in surface or near surface geology. We derived these rasters by calculating the average percent N content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from Soller et...
thumbnail
This raster depicts the percentage of lithological sulfur (S) content in surface or near surface geology. We derived these rasters by calculating the average percent S content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from Soller et al....
thumbnail
This raster depicts the percentage of lithological ferric oxide (Fe2O3) content in surface or near surface geology. We derived these rasters by calculating the average percent Fe2O3 content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological potassium oxide (K2O) content in surface or near surface geology. We derived these rasters by calculating the average percent K2O content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological silicon dioxide (SiO2) content in surface or near surface geology. We derived these rasters by calculating the average percent SiO2 content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological sodium oxide (Na2O) content in surface or near surface geology. We derived these rasters by calculating the average percent Na2O content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
This raster depicts the percentage of lithological calcium oxide (CaO) content in surface or near surface geology. We derived these rasters by calculating the average percent CaO content for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater than 100 feet (from...
thumbnail
Land cover describes the physical material at the surface of the earth and includes forests, shrublands, wetlands, water bodies, and other abiotic elements (e.g., rock). Land cover dynamics are influenced by large‐scale processes like climate and natural disturbance, but vegetation can also have important feedback on these processes (Mack et al. 2005). Land cover classes describe fine-scale variation in vegetation which is an important component of biodiversity, and affects the distribution of other taxa within ranges determined by climatic factors. Consequently, land cover maps are increasingly used for large‐scale modelling and mapping of habitat for caribou, birds and other wide-ranging species (e.g., Environment...


    map background search result map search result map Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems Geochemical Characteristics of the Conterminous United States: % CaO Geochemical Characteristics of the Conterminous United States: % MgO Geochemical Characteristics of the Conterminous United States: % P2O5 Geochemical Characteristics of the Conterminous United States: % Sulfur Geochemical Characteristics of the Conterminous United States: % SiO2 Geochemical Characteristics of the Conterminous United States: % Na2O Geochemical Characteristics of the Conterminous United States: % K2O Geochemical Characteristics of the Conterminous United States: % Al2O3 Geochemical Characteristics of the Conterminous United States: % Fe2O3 Geochemical Characteristics of the Conterminous United States: % Nitrogen North American Land Cover for NWB LCC Area Flood inundation map geospatial datasets for Lake Ontario, New York Segment B - Flood inundation map geospatial datasets for Lake Ontario, New York Segment C - Flood inundation map geospatial datasets for Lake Ontario, New York Segment E - Flood inundation map geospatial datasets for Lake Ontario, New York Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Segment G - Flood inundation map geospatial datasets for Lake Ontario, New York Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Flood inundation map geospatial datasets for Lake Ontario, New York (ver. 2.0, November 2021) Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Segment H - Flood inundation map geospatial datasets for Lake Ontario, New York Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems Flood inundation map geospatial datasets for Lake Ontario, New York Flood inundation map geospatial datasets for Lake Ontario, New York (ver. 2.0, November 2021) North American Land Cover for NWB LCC Area Geochemical Characteristics of the Conterminous United States: % CaO Geochemical Characteristics of the Conterminous United States: % MgO Geochemical Characteristics of the Conterminous United States: % P2O5 Geochemical Characteristics of the Conterminous United States: % Sulfur Geochemical Characteristics of the Conterminous United States: % SiO2 Geochemical Characteristics of the Conterminous United States: % Na2O Geochemical Characteristics of the Conterminous United States: % K2O Geochemical Characteristics of the Conterminous United States: % Al2O3 Geochemical Characteristics of the Conterminous United States: % Fe2O3 Geochemical Characteristics of the Conterminous United States: % Nitrogen