The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

Important Note: This item is in mature support as of September 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.Manager Type provides a coarse level land manager description from the PAD-US "Agency Type" Domain, "Manager Type" Field (for example, Federal, State, Local Government, Private).PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.Dataset SummaryPhenomenon Mapped: This layer displays protected areas symbolized by manager type.Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, the Northern Mariana Islands and other Pacific Ocean IslandsVisible Scale: 1:1,000,000 and largerSource: U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP) PAD-US version 3.0Publication Date: July 2022Attributes included in this layer are: CategoryOwner TypeOwner NameLocal OwnerManager TypeManager NameLocal ManagerDesignation TypeLocal DesignationUnit NameLocal NameSourcePublic AccessGAP Status - Status 1, 2, 3 or 4GAP Status DescriptionInternational Union for Conservation of Nature (IUCN) Description - I: Strict Nature Reserve, II: National Park, III: Natural Monument or Feature, IV: Habitat/Species Management Area, V: Protected Landscape/Seascape, VI: Protected area with sustainable use of natural resources, Other conservation area, UnassignedDate of EstablishmentThe source data for this layer are available here. What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for Gap Status Code = 3 to create a map of only the GAP Status 3 areas.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Note that many features in the PAD-US database overlap. For example wilderness area designations overlap US Forest Service and other federal lands. Any analysis should take this into consideration. An imagery layer created from the same data set can be used for geoprocessing analysis with larger extents and eliminates some of the complications arising from overlapping polygons.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

ArcGIS Maritime server extension's Maritime Chart Service (MCS) capability is a Server Object Extension that provides both OGC WMS and Esri RESTful web services to quickly view and query your S-57 or S-63 encrypted datasets.The base data for this web service is sample AML data download from here. Datasets are not guaranteed to be kept up-to-date and are for demonstration purposes only. To learn more about this product visit ArcGIS Maritime.

The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance.Dataset SummaryPhenomenon Mapped: Flood Hazard AreasCoordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, the Northern Mariana Islands and American SamoaVisible Scale: The layer is limited to scales of 1:1,000,000 and larger. Use the USA Flood Hazard Areas imagery layer for smaller scales.Source: Federal Emergency Management AgencyPublication Date: April 1, 2019This layer is derived from the April 1, 2019 version of the National Flood Hazard Layer feature class S_Fld_Haz_Ar. The data were aggregated into eight classes to produce the Esri Symbology field based on symbology provided by FEMA. All other layer attributes are derived from the National Flood Hazard Layer. The layer was projected to Web Mercator Auxiliary Sphere and the resolution set to 1 meter.To improve performance Flood Zone values "Area Not Included", "Open Water", "D", "NP", and No Data were removed from the layer. Areas with Flood Zone value "X" subtype "Area of Minimal Flood Hazard" were also removed. An imagery layer created from this dataset provides access to the full set of records in the National Flood Hazard Layer.A web map featuring this layer is available for you to use.What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could change the symbology field to Special Flood Hazard Area and set a filter for = “T” to create a map of only the special flood hazard areas. Add labels and set their propertiesCustomize the pop-upUse in analysis tools to discover patterns in the dataArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Areas up to 1,000-2,000 features can be exported successfully.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

Residential Zoned Land Tax Annual Draft Map for 2025. Published by Department of Housing, Local Government, and Heritage. Available under the license cc-zero (cc-zero).The Government’s Housing For All – A New Housing Plan for Ireland proposed a new tax to activate vacant land for residential purposes as a part of the Pathway to Increasing New Housing Supply. The Residential Zoned Land Tax was introduced by the Finance Act 2021. The dataset contains the land identified as being covered by the tax from all of the local authorities in the state. The available datasets will comprise the draft annual map, published on 1 February 2024. The draft map dataset published 1 November 2022, the supplemental map dataset published 1 May 2023 and the final map published 1 December 2023 are also available, however the annual draft map represents the most recent dataset of land identified as either being in-scope for the tax, or proposed to be removed from the map due to not meeting the criteria. The dataset will identify serviced land in cities, towns and villages which is residentially zoned and ‘vacant or idle’ mixed use land. Unless specifically identified for removal, the lands identified on the maps are considered capable of increasing housing supply as they meet the criteria for inclusion in the tax. Certain settlements will not be identified due to lack of capacity or services or due to out of date zonings. The dataset will also identify the amount in hectares of zoned serviced land for each settlement....

This abstract contains links to public ArcGIS maps that include locations of carbonate springs and some of their characteristics. Information for accessing and navigating through the maps are included in a PowerPoint presentation IN THE FILE UPLOAD SECTION BELOW. Three separate data sets are included in the maps:

1. Geochemistry data from the US Water Quality Portal (WQP), which compiles geochemistry data from the USGS and other federal agencies.
2. Discharge data from WoKaS, a world wide spring discharge data set (Olarinoye et al., 2020).
3. Regional karst data from selected US state agencies.

Several base maps are included in the links. The US carbonate map describes and categorizes carbonates (e.g., depth from surface, overlying geology/ice, climate). The carbonate springs map categorizes springs as being urban, specifically within 1000 ft of a road, or rural. The basis for this categorization was that the heat island effect defines urban as within a 1000 ft of a road. There are other methods for defining urban versus rural to consider. Map links and details of the information they contain are listed below.

Map set 1: The WQP map provides three mapping options separated by the parameters available at each spring site. These maps summarize discrete water quality samples, but not data logger availability. Information at each spring provides links for where users can explore further data.

Option 1: WQP data with urban and rural springs labeled, with highlight of springs with or without NWIS data https://www.arcgis.com/home/item.html?id=2ce914ec01f14c20b58146f5d9702d8a

Options 2: WQP data by major ions and a few other solutes https://www.arcgis.com/home/item.html?id=5a114d2ce24c473ca07ef9625cd834b8

Option 3:WQP data by various carbon species https://www.arcgis.com/home/item.html?id=ae406f1bdcd14f78881905c5e0915b96

Map 2: The worldwide carbonate map in the WoKaS data set (citation below) includes a description of carbonate purity and distribution of urban and rural springs, for which discharge data are available: https://www.arcgis.com/apps/mapviewer/index.html?webmap=5ab43fdb2b784acf8bef85b61d0ebcbe.

Reference: Olarinoye, T., Gleeson, T., Marx, V., Seeger, S., Adinehvand, R., Allocca, V., Andreo, B., Apaéstegui, J., Apolit, C., Arfib, B. and Auler, A., 2020. Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater. Scientific Data, 7(1), pp.1-9.

Map 3: Karst and spring data from selected states: This map includes sites that members of the RCN have suggested to our group.

https://uageos.maps.arcgis.com/apps/mapviewer/index.html?webmap=28ed22a14bb749e2b22ece82bf8a8177

This data set is incomplete (as of October 13, 2022 it includes Florida and Missouri). We are looking for more information. You can share data links to additional data by typing them into the hydroshare page created for our group. Then new sites will periodically be added to the map: https://www.hydroshare.org/resource/0cf10e9808fa4c5b9e6a7852323e6b11/

Acknowledgements: These maps were created by Michael Jones, University of Arkansas and Shishir Sarker, University of Kentucky with help from Laura Toran and Francesco Navarro, Temple University.

TIPS FOR NAVIGATING THE MAPS ARE IN THE POWERPOINT DOCUMENT IN THE FILE UPLOAD SECTION BELOW.

The DMCii Mosaic presents a sample of imagery acquired by Geoscience Australia under CC-BY Creative Commons Attribution 3.0 Australia licence. This imagery was captured by UK2-DMC satellite between December 2011 to April 2012 and has spatial resolution of 22 metres. Spectral bands are: Band 1 NIR; Band 2 Red; Band 3 Green. The DMCii Mosaic is displayed as a Pseudo Natural Colour Image.

These samples are reported to TCEQ to ensure that we are meeting requirements. Click on the link to view the map of RTCR sample locations https://www.arcgis.com/home/webmap/viewer.html?webmap=3a0201ddea064322bd3d310ff909da38&extent=-99.6897,27.4365,-99.1912,27.6597 / data provided and entered by Utilities Dept

The Marine Mammal Surveys Mapping Application feature service provides access to data collected in the Mariana Archipelago by the Protected Species Division of the Pacific Island Fisheries Science Center. Included are 2010-2014 cetacean survey tracklines, species sighted, locations where biopsy samples were collected and locations for satellite tag deployments.

This web map service (WMS) is the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland. It shows the aggregate habitat class with the highest percentage cover in each 1km x 1km pixel. The 10 aggregate classes are broad groupings of the 21 target classes, based on the Joint Nature Conservation Committee (JNCC) Broad Habitats and which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.

This web map service shows estimates of stock (length) of linear features across Great Britain in 2007, 1998, 1990 and 1984. The data are national estimates generated by analysing the sample data from 1km squares surveyed for the Countryside Survey in each of those years, then scaling up to a national level. The data are presented as the estimated mean length of linear features (hedgerows, walls, fences, banks, grass strips and tree lines) per 1km square within 45 different Land Class types based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.

Map Service showing the location of field sites where primary and tectonic structures have been measured, samples have been collected and isotopically dated, and fossils have been found during field …Show full descriptionMap Service showing the location of field sites where primary and tectonic structures have been measured, samples have been collected and isotopically dated, and fossils have been found during field studies in Queensland. The data sets are organised by layers including: Field Sites (0) Primary Structures (1) Tectonic Structures (2) Fossil Sites (3) Isotopic Dating Sites (4) Other Structural Measurements (5)

Map shows bathing water locations and their quality for the latest as well as previous bathing seasons whereas all symbols (charts, circles and squares with bather) are coloured according to achieved quality status in the most recent season. Data are presented on two levels: country (less detailed scales) and bathing water (more detailed scales).

Data aggregated by country are visualised as stacked charts showing the distribution of bathing water quality classes by country. Number of bathing waters per each quality class is listed in pop-up window which appears when user clicks on the selected country on the map. In more detailed scales individual bathing waters are coloured according to quality status achieved in the most recent season. Pop-up windows can be opened with a click on individual bathing water monitoring site. The pop-up window shows various information regarding particular bathing water such as bathing water name, coordinates, link (URL) to national bathing water profile and assessment statuses.

The assessment statuses are as follows:

1. monitoring calendar status – describes implementation of monitoring calendar in the last reporting season as defined in Directive 2006/7/EC,Annex IV. The monitoring calendar status is assessed as “implemented” if pre-season sample was taken before the bathing season start, no fewer than four (alternatively, three) samples were taken during the bathing season and interval between sampling dates never exceeded one month. The monitoring calendar is assessed as “not implemented” if at least one of these requirements is not met and the reasons for suspension are not abnormal situation, inaccessible bathing water or implementation of changes.

2. management status – describes management in the last assessment period, whether the bathing water was continuously monitored or not. If bathing water has been monitored in each bathing season in the last assessment period the management status is “Continuously monitored”. Bathing waters which were identified for the first time within the last assessment period are assessed as “Newly identified”. Such status is assigned until the complete four-year dataset is available. If a bathing water was subject to changes described in Directive 2006/7/EC,Article 4.4 within the last assessment period, management status “Quality changes" is applied until complete four-year dataset of samples is available. “Monitoring gap” management status is applied to bathing waters which were not monitored for at least one season in the last assessment period. They can be quality-classified in parallel if enough samples are available in the period before and after the monitoring gap. No quality classification is made if not enough samples are reported for the most recent season.

3. quality status– the bathing waters are quality classified according to the two microbiological parameters (Escherichia coli and Intestinal enterococci) defined in Directive 2006/7/EC Annexes I and II. Quality statusdescribes microbiological quality of water as defined as enough samples are available (defined in Directive 2006/7/EC,Art. 4.3). Bathing water can achieve one of four quality classes: “Excellent”, “Good”, “Sufficient” or “Poor”. If not enough samples for quality classification are available, status “Not classified” is applied. Historical data, listed in the pop-up window include bathing water quality classification for the last ten years. For comparability with classification of the preceding Bathing Water Directive 76/160/EEC, quality classes “Good” and “Sufficient” are merged for the bathing waters (monitored and reported in 2014 and before) for which assessment dataset could not yet facilitate quality assessment under the provisions of Directive 2006/7/EC.

This web map service shows estimates of stock (length) of linear features across Great Britain in 2007, 1998, 1990 and 1984. The data are national estimates generated by analysing the sample data from 1km squares surveyed for the Countryside Survey in each of those years, then scaling up to a national level. The data are presented as the estimated mean length of linear features (hedgerows, walls, fences, banks, grass strips and tree lines) per 1km square within 45 different Land Class types based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.

This online Exploration Geochemistry Map of Alaska presents a visualization of elements of economic interest for Alaska stream sediment samples, which best represent bedrock that is actively weathering and include all the mineral phases contributing to the elemental compositions. As of September 2021, the database consists of 3,311 individual stream sediment samples pulled from U.S. Geological Survey (USGS) archives and reanalyzed in 2020 as part of the Earth MRI Program, Stream Sediment Reanalysis Project as well as 4,558 samples reanalyzed as a part of the State of Alaska’s Strategic and Critical Minerals Project. These ongoing geochemical re-analyses project is a joint effort between the Alaska Division of Geological & Geophysical Surveys (DGGS) and the USGS to obtain modern elemental analyses for historical USGS stream sediment samples in the Yukon-Tanana Upland. This exploration-focused database will expand as more stream sediment geochemical analyses become available. Eventually the database will include all modern geochemical analyses of stream sediments as well as other geologic materials from Alaska, and will be hosted by DGGS and USGS.The Exploration Geochemistry Map of Alaska presents the most precise and accurate values available for each element in the sample, all obtained using modern analytical methods. The symbol size for each element reflects the trace-element concentration – the larger the symbol, the higher the concentration of the element in the sample. The precise concentration of each element in a sample, the sample name, and location information, along with citation hyperlink to the full geochemical analysis results and analytical methods can be viewed via a pop-up window by clicking on the sample symbol in the map. To obtain the full elemental characteristics of samples, go to https://maps.dggs.alaska.gov/geochem/ —or — select a sample and click on the hyperlink included in the pop-up window.

This web map can also be accessed via the LINZ Storymap about NZ Key Datasets for Resilience and Climate Change https://storymaps.arcgis.com/stories/b4dd46f15cea4234a098b4c8caae5b3d The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification, while the river network description has been used to underpin models. Typically, models (e.g. CLUES and TopNet) would use the dendritic (branched) linkages of REC river segments to perform their calculations. Since its release and use over the last decade, some errors in the location and connectivity of these linkages have been identified. The current revision corrects those errors, and updates a number of spatial attributes with the latest data. REC2 provides a recut framework of rivers for modelling and classification. It is built on a newer version of the 30m digital elevation model, in which the original 20m contours were supplemented with, for example, more spot elevation data and a better coastline contour. Boundary errors were minimized by processing contiguous areas (such as the whole of the North Island) together, which wasn't possible when the REC was first created. Major updates include the revision of catchment land use information, by overlaying with land cover database (LCDB3, current as at 2008), and the update of river and rainfall statistics with data from 1960-2006. The river network and associated attributes have been assembled within an ArcGIS geodatabase. Topological connectivity has been established to allow upstream and downstream tracing within the network. REC2 can be downloaded as a zip file and used directly in ArcMap. Alternatively, the layers can be extracted as shape files. The three REC2 based layers contained within this web map consist of the following (metadata is contained in the Layers section below).NZ Large Catchments, are basically the local watersheds of the REC2V5 dissolved into large sea draining catchments.River Environment Classification REC2 V5 (as National and local rivers) NZ Rivers and Names is a cut down version of the REC2V5 with river and waterway names added where available.

Field Type Descriptions for all REC2 associated feature layers within this webmap.RivName The names for any waterway where available taken from original topo data ( only for the NZ Large Catchments and NZ River and Names layers)

Catarea Real Watershed area in m2 CUM_Area Real Area upstream of a reach (and including this reach area) in m2. Nzsegment Integer Reach identifier to be used with REC2 (supercedes nzreach in REC1).

Lengthdown Real The distance to coast from any reach to its outlet reach, where the river drains (m). Headwater Integer Number (0) denoting whether a stream is a “source” (headwater) stream. Non-zero for non-headwater streams.

Hydseq Integer A unique number denoting the hydrological processing order of a river segment relative to others in the network.

StreamOrder Integer A number describing the Strahler order a reach in a network of reaches.

euclid_dist Real The straight line distance of a reach from the reach “inlet” to its “outlet”. upElev Real Height (asl) of the upstream end of a reach section in a watershed (m). downElev Real Height (asl) of the downstream end of a reach section in a watershed (m).

upcoordX Real Easting of the upstream end of a river segment in m (NZTM2000). upcoordY Real Northing of the upstream end of a river segment in m (NZTM2000). downcoordX Real Easting of the downstream end of a river segment in m (NZTM2000).

downcoordY Real Northing of the downstream end of a river segment in m (NZTM2000). sinuosity Real Actual distance divided by the straight line distance giving the degree of curvature of the stream nzreach_re Integer The REC1 identifiying number for the corresponding\closest reach from REC1 (can be used to retrieve the REC management classes) headw_dist Integer Distance of the furthermost “source” or headwater reach from any reach (m). Shape_leng Real The length of the reach (vector) as calculated by ArcGIS. Segslpmean Real Mean segment slope along length of reach.

LID Integer Lake Identifier number(LID) of overlapping lake.

Reachtype

Integer A value of 2 is assigned if the segment is an outlet to the lake, otherwise 0 or null. nextdownid integer segment number of the most downstream reach

NIWA acknowledges funding from the MBIE SSIF towards the preparation of REC v2.5 River Environment Classification._Item Page Created: 2021-07-09 05:37 Item Page Last Modified: 2025-03-15 18:55Owner: steinmetzt_NIWANZ River Names (REC2)Item id: 502212e71bce4c029de8a82cd5bc6302NZ Regional Rivers (REC2)Item id: 502212e71bce4c029de8a82cd5bc6302NZ National Rivers (REC2)Item id: 3a4b6cc2c1c74fbb8ddbe25df28e410cNZ Large River CatchmentsItem id: 28d23ad94c2a4846b7634f4cdbba178f

This web map provides a detailed vector basemap with a dark monochromatic style and content adjusted to support Human Geography information. Where possible, the map content has been adjusted so that it observes WCAG contrast criteria.The web map consists of 3 vector tile layers:A label reference layer including cities and communities, countries, administrative units, and at larger scales street names.A detail reference layer including administrative boundaries, roads and highways, and larger bodies of water. This layer is designed to be used with a high degree of transparency so that the detail does not compete with your information. It is set at approximately 50% in this web map, but can be adjusted.A simple basemap consisting of land areas in a very dark gray only.For an example of how to best use this basemap, read A Dark Version of the Human Geography Basemap for more information.These layers provide unique capabilities for customization, high-resolution display, and offline use in mobile devices: They are built using the same data sources used for the Dark Gray Canvas and other Esri basemaps. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.This map was designed and created by Andrew Skinner.

The Federal Emergency Management Agency (FEMA) produces Flood Insurance Rate maps and identifies Special Flood Hazard Areas as part of the National Flood Insurance Program's floodplain management. Special Flood Hazard Areas have regulations that include the mandatory purchase of flood insurance.Dataset SummaryPhenomenon Mapped: Flood Hazard AreasCoordinate System: Web Mercator Auxiliary SphereExtent: Contiguous United States, Alaska, Hawaii, Puerto Rico, Guam, US Virgin Islands, Northern Marianas Islands and American Samoa.Visible Scale: The layer is limited to scales of 1:1,000,000 and larger. Use the USA Flood Hazard Areas imagery layer for smaller scales.Source: Federal Emergency Management AgencyPublication Date: October 13, 2021This layer is derived from the October 13, 2021 version of the National Flood Hazard Layer feature class S_Fld_Haz_Ar. The data were aggregated into eight classes to produce the Esri Symbology field based on symbology provided by FEMA. All other layer attributes are derived from the National Flood Hazard Layer.The layer was projected to Web Mercator Auxiliary Sphere, then the repair geometry geoprocessing tool was run on it. Its resolution was set to 0.0001 meter.To improve performance Flood Zone values "Area Not Included", "Open Water", "D", "NP", and No Data were removed from the layer. Areas with Flood Zone value "X" subtype "Area of Minimal Flood Hazard" were also removed. An imagery layer created from this dataset provides access to the full set of records in the National Flood Hazard Layer.A web map featuring this layer is available for you to use.What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could change the symbology field to Special Flood Hazard Area and set a filter for = “T” to create a map of only the special flood hazard areas. Add labels and set their propertiesCustomize the pop-upUse in analysis tools to discover patterns in the dataArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Areas up to 1,000-2,000 features can be exported successfully.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.

A detailed description of the sources and methods of this database compilation can be found in Idaho Transportation Department report RP-278. Landslide inventory databases are fundamental tools for documenting and assessing slope stability hazards. They are often used by emergency managers and government agencies to catalog the location and contributing factors of landslides, and to prioritize mitigation efforts. Prior to this project, Idaho did not have a comprehensive, public landslide inventory database. The last statewide landslide inventory (IGS publication SGM-1) was published in 1991 as a static map and is not suitable for modern digital analyses. In this project, the Idaho Geological Survey produced a statewide landslide inventory database to document known slope failures. The goal of this project was to compile and update landslide data in a central database that is publicly accessible via interactive webmap or downloadable digital files. We compiled and reviewed historical landslide data from several sources and added newly mapped landslides to create a comprehensive landslide inventory. We assessed the accuracy of historical landslide data and assigned each record with a qualitative measure of spatial accuracy. Limited field verification was performed as part of this project, in which selected sites across the state were visited by IGS geologists to compare the database mapping to existing conditions in the field. The field verification suggested that most mapped landslides are real and are accurately mapped, but many landslides in the field are not included in the database. The database is also available as an ArcGIS service, which supports an interactive webmap hosted by Idaho Geological Survey. The database is designed to be updated as new data are collected.Primary data sources include:Geologic maps published by the Idaho Geological Survey.New landslides mapped on lidar basemaps.Adams, Wayne C. and Breckenridge, Roy M. 1991. “Landslides in Idaho” Idaho Geological Survey Surficial Map 1, scale 1:500,000.Dixon, Michael D., and Wasniewski, Louis W. 1998. “Summary of Landslide Inventory on the Westside of the Payette National Forest from the New Year 1997 Storm.” Payette National Forest Supervisors Office, McCall, Idaho, 26 p.Jones, Douglas, R. 1991. “Slope movement hazard evaluation along a portion of the Salmon River and Little Salmon River canyons, Idaho County, Idaho.” University of Idaho M.S. thesis, 97 p., 3 plates, scale 1:24,000.Shaub, Suzanne. 2001. “Landslides and wildfire: An example from the Boise National Forest.” Boise State University M.S. thesis, 85 p., 1 plate scale 1:24,000.

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.