Filters: Tags: Coastal Zone Management (X)
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Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
![]() This data set contains vector lines and polygons representing the shoreline and coastal habitats of Western Alaska classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for Western Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Coastal Zone Management,
Coastal resources,
DOI,
There are three main components to the ESI: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Coastal Zone Management,
Coastal resources,
Coastal sensitivity,
Columbia River,
ESI,
![]() This service shows the Environmental Sensitivity Index (ESI) developed for the the outer coast of Washington in 1985. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated wetlands,...
![]() This service shows the Environmental Sensitivity Index (ESI) developed for the Cook Inlet and Kenai Peninsula, AK, in 2002. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated...
![]() This service shows the Environmental Sensitivity Index (ESI) developed for Price William Sound, AK, in 2000. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated wetlands, such...
![]() This data set contains vector lines and polygons representing the shoreline and coastal habitats of Northwest Arctic, Alaska classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for Northwest Arctic, Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Coastal Zone Management,
Coastal resources,
DOI,
This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climatology,
Gulf of Mexico,
Louisiana Coastal,
Plants,
Sea-Level Rise and Coasts,
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. Point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using a UAS-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. Point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Ricoh GR camera in DNG format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
There are three main components to the ESI: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Coastal Zone Management,
Coastal resources,
Coastal sensitivity,
ESI,
Environmental Sensitivity,
There are three main components to the ESI: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats,...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: California,
Coastal Zone Management,
Coastal resources,
Coastal sensitivity,
ESI,
![]() This service shows the Environmental Sensitivity Index (ESI) developed for the Cook Inlet and Kenai Peninsula, AK, in 2002. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated...
Presented here is a point cloud produced by the U.S. Geological Survey (USGS) from historical U.S. Air Force vertical aerial imagery, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was downloaded from USGS Eros Data Center and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. Point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point cloud coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Point clouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
1985 Gulf of Mexico Atlas abstract American oyster Crassostrea virginica Ostion americanoDescription Range: The American oyster, a bivalve mollusc of the family Ostreidae, is found in the western Atlantic from the Gulf of St. Lawrence to the Yucatan Peninsula. In the Gulf, this species occurs throughout estuaries, shallow nearshore waters, and on reefs located near river mouths. Habitat: Large populations of this benthic invertebrate are found in the large estuarine bays and sounds of the Gulf (with most concentrations found within 10-meter depths). Sedentary in character, this invertebrate attaches in clusters to shell reefs, firm mud/shell bottoms and other hard substrates. Feeding and Behavior: The American oyster...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: ANIMALS/INVERTEBRATES,
ANIMALS/INVERTEBRATES,
Academics & scientific researchers,
Alabama,
American oyster,
![]() This service shows the Environmental Sensitivity Index (ESI) developed for the Oregon coast in 1985. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated wetlands, such as mangrove...
![]() This dataset represents the National Estuarine Research Reserves in the United States, created by compiling many reserve-level datasets obtained by the Conservation Biology Institute from the National Estuarine Research Reserve System (NERRS). Units in the NERRS are used to "identify and track short-term variability and long-term changes in the integrity and biodiversity of representative estuarine ecosystems and coastal watersheds for the purpose of contributing to effective national, regional and site specific coastal zone management." (http://cdmo.baruch.sc.edu/overview.html) The reserve boundaries were generally mapped independently by each reserve in the system, and thus are not necessarily comparable in terms...
Presented here is a point cloud collected by the U.S. Geological Survey (USGS) using an oblique plane-mounted camera system, covering the area of the Mud Creek landslide on California State Route 1 (SR1), Mud Creek, Big Sur, California. The point cloud is referenced to previously published lidar data and contains RGB information as well as XYZ. Point Cloud Coordinates are in NAD83 UTM Zone 10 meters. Imagery was collected with a Nikon D800 camera in RAW format and processed using structure-from-motion photogrammetry with Agisoft PhotoScan version 1.2.8 through 1.3.2. Pointclouds were clipped to an AOI using LASTools. The AOI was created from a KMZ in Google Earth and transformed to a shapefile using ArcMap 10.5.
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