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points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 2013-2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Cape Cod, All tags... Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Erosion, GIS, Geographic Information Systems, MA, MHW, Massachusetts, Mean High Water, Monomoy Island, Monomoy Island, Monomoy National Wildlife Refuge, Monomoy National Wildlife Refuge, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags Development: Development delineation: Parker River, MA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Ann, Coastal Armoring, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, Human Development, MA, Massachusetts, North America, Parker River, Parker River, Parker River National Wildlife Refuge, Parker River National Wildlife Refuge, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cape Lookout, NC, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, MHW, Mean High Water, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags Development: Development delineation: Cape Lookout, NC, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Armoring, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, Human Development, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, RI, Rhode Island, Rhode Island, Rhode Island National Wildlife Refuge Complex, Rhode Island National Wildlife Refuge Complex, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, Trustom Pond, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Smith Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Piping Plovers, Smith Island, Smith Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags Onondaga Lake Watershed Geographic Information System Problem - The purpose of this project is to create a watershed GIS (Geographic Information System) to support the comprehensive cleanup and restoration of Onondaga Lake that is underway. A GIS is a computer system capable of capturing, storing, analyzing, and displaying geographically referenced information; that is, data identified according to location. Given the broad scope of the Onondaga Lake Partnership's (OLP) mission, a GIS is a powerful tool that can organize, store, and share information pertinent to the management of the natural resources of the Onondaga Lake watershed. The OLP GIS will be used for land use planning, resource management, scientific monitoring, and data presentation. The project has... Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Basin & Hydrogeologic Characterization, Basin & Hydrogeologic Characterization, Basin & Hydrogeologic Characterization, Completed, Cooperative Water Program, All tags... GIS, Geospatial Applications, Geospatial Applications, New York, Onondaga County, USGS New York Water Science Center, WSC, Water Quality, Water Quality, Water quality, Fewer tags Gorum and others (2014) This inventory was originally created by Gorum and others (2014) describing the landslides triggered by a sequence of earthquakes, with the largest being the M 6.2 17 km N of Puerto Aisen, Chile earthquake that occurred on 21 April 2007 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Chile, EHP, Earthquake, Earthquake Hazards Program, Earthquakes, All tags... GHSC, GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, Secondary, Secondary Hazards, South America, USGS, Fewer tags Xu and others (2014) This inventory was originally created by Xu and others (2014) describing the landslides triggered by the M 5.9 Gansu, China earthquake, also known as the Minxian - Zhangxian earthquake, that occurred on 21 July 2013 at 23:45:56 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Asia, China, EHP, Earthquake, Earthquake Hazards Program, All tags... Earthquakes, GHSC, GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, Secondary, Secondary Hazards, USGS, Fewer tags Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) This inventory was originally created by the Ministerio de Medio Ambiente y Recursos Naturales, El Salvador (2001) describing the landslides triggered by the M 7.7 San Miguel, El Salvador earthquake that occurred on 13 January 2001 at 17:33:32 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Central America, EHP, Earthquake, Earthquake Hazards Program, Earthquakes, All tags... El Salvador, GHSC, GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, North America, Secondary, Secondary Hazards, USGS, Fewer tags Zhao (2021) This inventory was originally created by Zhao (2021) describing the landslides triggered by the M 7.5 Palu, Indonesia earthquake that occurred on 28 September 2018 at 10:02:45 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: EHP, Earthquake, Earthquake Hazards Program, Earthquakes, GHSC, All tags... GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Indonesia, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, Palu, Secondary, Secondary Hazards, USGS, Fewer tags Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Parking Areas, Tule Lake NWR U.S. Fish and Wildlife Service Road Inventory Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bridge, CRV, Condition, Culvert, GIS, All tags... GPS, Gate, Guardrail, Low Water Crossing, National Fish Hatchery, National Wildlife Refuge, Parking Lot, Regions, Roads, Surface Type, Transportation, U.S. Fish and Wildlife Service, Water Control Structure, Wetland Management District, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Edwin B. Forsythe NWR, NJ, 2012 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Parramore Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Parramore Island, Parramore Island, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Assawoman Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assawoman Island, Assawoman Island, Atlantic Ocean, Barrier Island, CMHRP, All tags... Coastal Hazards, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Wallops Island, Wallops Island, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fisherman Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal Hazards, Coastal and Marine Hazards and Resources Program, All tags... Delmarva Peninsula, Fisherman Island, Fisherman Island, Fisherman Island National Wildlife Refuge, Fisherman Island National Wildlife Refuge, GIS, Geographic Information Systems, MHW, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags Basharat and others (2014) This inventory was originally created by Basharat and others (2014) describing the landslides triggered by the M 7.6 Kashmir, Pakistan earthquake that occurred on 8 October 2005 at 03:50:40 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory also could be associated with other earthquakes such as aftershocks or triggered events. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use. With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Asia, EHP, Earthquake, Earthquake Hazards Program, Earthquakes, All tags... GHSC, GIS, Geographic Informtion System, Geologic Hazards Science Center, Global, Ground failure, Groundfailure, Inventory, LHP, Landslide, Landslides, Landslides Hazards Program, Pakistan, Secondary, Secondary Hazards, USGS, Fewer tags 1 2 3 4 5 ... 8 »