This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

To inform the implementation of ecosystem-based management and conservation strategies, CREP leads a program of coral reef ecosystem assessment and long-term monitoring, benthic habitat mapping, oceanographic and water-quality studies, and applied research in the Hawaiian Archipelago, the Mariana Archipelago (Guam and the Commonwealth of the Northern Mariana Islands), American Samoa, and the Pacific Remote Island Areas, as well as international efforts like the Coral Triangle InitiativeThe Coral Reef Ecosystems Monitoring Feature Service provides access to data collected by the Coral Reef Ecosystem Division of the Pacific Islands Fisheries Science Center. Included are a subset of the data collected and processed in the Marianas archipelago between 2000 and 2014.To access metadata for this project and the associated datasets, please visit the following url: InPort Metadata Catalog Item #24436ADDITIONAL INFORMATION:InPort MetadataCRED Monitoring Reports2014 Reef Assessment and Monitoring Program ReportThis data service is also hosted on the PIFSC ArcGIS Server at the following url: http://www.pifsc.noaa.gov/marinemapper/arcgis/rest/services/MTMNM/CRED/MapServer

This layer was last updated January 2017. The map presents country boundaries; first-order (State/Province) internal administrative boundaries for most countries; second-order administrative boundaries for the United States (counties), Canada, Mexico, India, Australia and New Zealand, Europe, South America, and Africa; and place-names for the world. Alignment of boundaries is a presentation of the features provided by our data vendors and does not imply endorsement by Esri or any governing authority. The map was developed by Esri using administrative and cities data from Esri; Garmin basemap layers for the world; HERE data for North America, Europe, Australia, New Zealand, South America and Central America, most of the Middle East, and Africa; and MapmyIndia for all content in India from ~1:288k to ~1:1k. Data for select areas of Africa and Pacific Island nations from ~1:288k to ~1:4k (~1:1k in select areas) was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.Select data for the World Boundaries and Places Map is provided by the GIS community. You can contribute your data to this service and have it served by Esri. For details on the users who contributed data for this map via the Community Maps Program, view the list of Contributors for the World Boundaries and Places Map. This map is designed for use with maps with darker backgrounds, such as the World Imagery service. An alternate version of this service is also available, the World Boundaries and Places Alternate service, which is designed for overlaying on basemaps with lighter backgrounds, such as the World Shaded Relief service.View the coverage map below to learn more about the levels of detail:World coverage map: Shows the levels of detail throughout the world.Export: This layer is not intended to be used to export tiles for offline. If you would like to export imagery for offline use in ArcGIS applications, you may use the World Boundaries and Places (for Export) layer, which is intended for this purpose.Scale Range: 1:591,657,528 down to 1:1,128Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100)Tiling Scheme: Web Mercator Auxiliary Sphere Map Service Name: World_Boundaries_and_PlacesArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/servicesArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/Reference/World_Boundaries_and_Places/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/Reference/World_Boundaries_and_Places/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/Reference/World_Boundaries_and_Places/MapServer?wsdl

description: This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, BAE Systems Spectral Solutions LLC, and Analytical Laboratories of Hawaii, LLC. IKONOS and Quickbird imagery was purchased to support the Pacific Islands Geographic Information System (GIS) project and the National Ocean Service's (NOS) coral mapping activities. One-meter panchromatic and four-meter multi-spectral data were purchased for each study area. The enhanced spectral resolution of multispectral imagery and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. The IKONOS and Quickbird imagery was processed to minimize atmospheric and water column effects. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.; abstract: This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, BAE Systems Spectral Solutions LLC, and Analytical Laboratories of Hawaii, LLC. IKONOS and Quickbird imagery was purchased to support the Pacific Islands Geographic Information System (GIS) project and the National Ocean Service's (NOS) coral mapping activities. One-meter panchromatic and four-meter multi-spectral data were purchased for each study area. The enhanced spectral resolution of multispectral imagery and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. The IKONOS and Quickbird imagery was processed to minimize atmospheric and water column effects. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

This map was last updated January 2017. This map presents transportation data, including highways, roads, railroads, and airports for the world. The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, most of the Middle East, and select countries in Africa. Data for India sourced from MapmyIndia. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.Tip: To see what this layer looks like when drawn on top of the World Imagery map, open the Imagery With Labels and Transportation web map. This web map uses the Imagery with Labels basemap and contains the World Transportation map service as a layer too.You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map. View the coverage map below to learn more about the levels of detail:World coverage map: Shows the levels of detail throughout the world.Export: This layer is not intended to be used to export tiles for offline. If you would like to export imagery for offline use in ArcGIS applications, you may use the World Transportation (for Export) layer, which is intended for this purpose.Scale Range: 1:591,657,528 down to 1:1,128Coordinate System: Web Mercator Auxiliary Sphere (WKID 102100)Tiling Scheme: Web Mercator Auxiliary SphereMap Service Name: World_TransportationArcGIS Desktop/Explorer URL: http://services.arcgisonline.com/arcgis/servicesArcGIS Server Manager and Web ADF URL: http://server.arcgisonline.com/arcgis/services/Reference/World_Transportation/MapServerREST URL for ArcGIS Web APIs: http://server.arcgisonline.com/ArcGIS/rest/services/Reference/World_Transportation/MapServerSOAP API URL: http://services.arcgisonline.com/ArcGIS/services/Reference/World_Transportation/MapServer?wsdl

Web Map showing planned NOAA Hydrographic Survey Projects 2021.NOAA's Office of Coast Survey is responsible for planning hydrographic surveys. Planned hydrographic surveys are derived from NOAA's Hydrographic survey priorities, constituent requests submitted through navigational managers, and other factors. The "planned" hydrographicsurveys REST service at https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer provides access to the planned survey areas. The image service REST endpoint is https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydrographicSurvey_ImageService_2021/ImageServer and shows weekly progress updates for the current year’s hydrographic surveys through a published mosaic dataset.This storymap serves as an index for regional hydrographic survey projects in Alaska, Pacific Coast, Gulf of Mexico, Great Lakes, Atlantic Coast, Pacific Coast, Hawaiin Islands and Mariana Islands.

This data set provides the spatial distributions of vegetation types, geobotanical characteristics, and physiographic features for the Arctic tundra region of Alaska for the period 1993-2005. Specific attributes include dominant vegetation, bioclimate subzones, floristic subprovinces, landscape types, lake coverage, and substrate chemistry. This data set generally includes areas North and West of the forest boundary and excludes areas that have a boreal flora such as the Aleutian Islands and alpine tundra regions south of treeline.

The Viewshed analysis layer is used to identify visible areas. You specify the places you are interested in, either from a file or interactively, and the Viewshed service combines this with Esri-curated elevation data to create output polygons of visible areas. Some questions you can answer with the Viewshed task include:What areas can I see from this location? What areas can see me?Can I see the proposed wind farm?What areas can be seen from the proposed fire tower?The maximum number of input features is 1000.Viewshed has the following optional parameters:Maximum Distance: The maximum distance to calculate the viewshed.Maximum Distance Units: The units for the Maximum Distance parameter. The default is meters.DEM Resolution: The source elevation data; the default is 90m resolution SRTM. Other options include 30m, 24m, 10m, and Finest.Observer Height: The height above the surface of the observer. The default value of 1.75 meters is an average height of a person. If you are looking from an elevation location such as an observation tower or a tall building, use that height instead.Observer Height Units: The units for the Observer Height parameter. The default is meters.Surface Offset: The height above the surface of the object you are trying to see. The default value is 0. If you are trying to see buildings or wind turbines add their height here.Surface Offset Units: The units for the Surface Offset parameter. The default is meters.Generalize Viewshed Polygons: Determine if the viewshed polygons are to be generalized or not. The viewshed calculation is based upon a raster elevation model which creates a result with stair-stepped edges. To create a more pleasing appearance, and improve performance, the default behavior is to generalize the polygons. This generalization will not change the accuracy of the result for any location more than one half of the DEM's resolution.By default, this tool currently works worldwide between 60 degrees north and 56 degrees south based on the 3 arc-second (approximately 90 meter) resolution SRTM dataset. Depending upon the DEM resolution pick by the user, different data sources will be used by the tool. For 24m, tool will use global dataset WorldDEM4Ortho (excluding the counties of Azerbaijan, DR Congo and Ukraine) 0.8 arc-second (approximately 24 meter) from Airbus Defence and Space GmbH. For 30m, tool will use 1 arc-second resolution data in North America (Canada, United States, and Mexico) from the USGS National Elevation Dataset (NED), SRTM DEM-S dataset from Geoscience Australia in Australia and SRTM data between 60 degrees north and 56 degrees south in the remaining parts of the world (Africa, South America, most of Europe and continental Asia, the East Indies, New Zealand, and islands of the western Pacific). For 10m, tool will use 1/3 arc-second resolution data in the continental United States from USGS National Elevation Dataset (NED) and approximately 10 meter data covering Netherlands, Norway, Finland, Denmark, Austria, Spain, Japan Estonia, Latvia, Lithuania, Slovakia, Italy, Northern Ireland, Switzerland and Liechtenstein from various authoritative sources.To learn more, read the developer documentation for Viewshed or follow the Learn ArcGIS exercise called I Can See for Miles and Miles. To use this Geoprocessing service in ArcGIS Desktop 10.2.1 and higher, you can either connect to the Ready-to-Use Services, or create an ArcGIS Server connection. Connect to the Ready-to-Use Services by first signing in to your ArcGIS Online Organizational Account:Once you are signed in, the Ready-to-Use Services will appear in the Ready-to-Use Services folder or the Catalog window:If you would like to add a direct connection to the Elevation ArcGIS Server in ArcGIS for Desktop or ArcGIS Pro, use this URL to connect: https://elevation.arcgis.com/arcgis/services. You will also need to provide your account credentials. ArcGIS for Desktop:ArcGIS Pro:The ArcGIS help has additional information about how to do this:Learn how to make a ArcGIS Server Connection in ArcGIS Desktop. Learn more about using geoprocessing services in ArcGIS Desktop.This tool is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.