14 datasets found
  1. Maps and Apps Gallery (Mature)

    • gis-idaho.hub.arcgis.com
    Updated Jul 2, 2014
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    esri_en (2014). Maps and Apps Gallery (Mature) [Dataset]. https://gis-idaho.hub.arcgis.com/items/8fe02db25bf246dea36b45c5a95728b3
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    Dataset updated
    Jul 2, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Maps and Apps Gallery is a configurable group app template that can be used for displaying a collection of maps, applications, documents, and layers. Gallery contents are searchable and can be filtered using item tags. Private gallery content can be accessed by signing in to the app using your ArcGIS credentials.Use Casesbuilding a common operational picture organizing a series of maps & apps for a community eventConfigurable OptionsConfigure Maps and Apps Gallery to present content from any group in your organization and personalize the app by modifying the following options: Display a custom title and logo in the application headerUse a custom color schemeChoose between grid- and list-style layoutsEnable or disable the tag cloud which can be used to filter the items displayed in the galleryChoose to open maps and layers in ArcGIS Online, or to preview them in the app's viewerSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsMaps and Apps Gallery will display all item types supported by ArcGIS Online and Portal, although sharing maps is preferable to sharing stand-alone layers.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Maps and Apps Gallery documentation.

  2. a

    India: TopoBathy 3D

    • up-state-observatory-esriindia1.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 21, 2022
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    GIS Online (2022). India: TopoBathy 3D [Dataset]. https://up-state-observatory-esriindia1.hub.arcgis.com/maps/esriindia1::india-topobathy-3d/about
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    Dataset updated
    Mar 21, 2022
    Dataset authored and provided by
    GIS Online
    Area covered
    India
    Description

    The TopoBathy 3D layer provides global elevation on land and in the oceans for your work in 3D.What can you do with this layer?This layer can be loaded into ArcGIS Online Web Scenes, ArcGIS Earth, and ArcGIS Pro to help visualize your maps and data.How do I use this layer?In the ArcGIS Online Web Scene Viewer:From the Content panel, click Add LayersSearch for TopoBathy3D - SceneIn ArcGIS Pro:Ensure you are logged in with an ArcGIS Online accountFrom the TOC in a global scene, right click on Scene at the top of the TOCGo to the Elevation section of the Map Properties dialogExpand the Ground sectionClick on the Add Data buttonGo to the Portal section then select All PortalSearch for TopoBathy3D - SceneOptionally, remove other elevation layers

  3. n

    Supermarket Access Map

    • prep-response-portal.napsgfoundation.org
    • prep-response-portal-napsg.hub.arcgis.com
    • +1more
    Updated Aug 4, 2011
    + more versions
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    jimhe (2011). Supermarket Access Map [Dataset]. https://prep-response-portal.napsgfoundation.org/maps/153c17de00914039bb28f6f6efe6d322
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    Dataset updated
    Aug 4, 2011
    Dataset authored and provided by
    jimhe
    Area covered
    Description

    Supermarkets are one of the most popular and convenient ways in which Americans gain access to healthy food, such as fresh meat and fish, or fresh fruits and vegetables. There are various ways in which people gain access to supermarkets. People in the suburbs drive to supermarkets and load up the car with many bags of food. People in cities depend much more on walking to the local store, or taking a bus or train.This map came about after asking a simple question: how many Americans live within a reasonable walk or drive to a supermarket?In this case, "reasonable" was defined as a 10 minute drive, or a 1 mile walk. The ArcGIS Network Analyst extension performed the calculations on NAVTEQ streets, and the ArcGIS Spatial Analyst extension created a heat map of the walkable access and drivable access to supermarkets.The green dots represent populations in poverty who live within one mile of a supermarket. The red dots represent populations in poverty who live beyond a one mile walk to a supermarket, but may live within a 10 minute drive...assuming they have access to a car. The grey dots represent the total population in a given area.This is an excellent map to use as backdrop to show how people are improving access to healthy food in their community. Open this map in ArcGIS Explorer to add your favorite farmers' market, CSA, or transit line -- then share that map via Facebook, Twitter or email.This map shows data for the entire U.S. The supermarkets included in the analysis have annual sales of $1 million or more. Populations in poverty are represented by taking the block group poverty rate (e.g. 10%) from the Census and symbolizing each block in that block group based on that percentage. Demographic data from U.S. Census 2010 and Esri Business location from infoUSAData sources: see this map package.

  4. TopoBathy 3D

    • cacgeoportal.com
    • hub-oceanos-osal.hub.arcgis.com
    • +3more
    Updated May 13, 2016
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    Esri (2016). TopoBathy 3D [Dataset]. https://www.cacgeoportal.com/maps/0c69ba5a5d254118841d43f03aa3e97d
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    Dataset updated
    May 13, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The TopoBathy 3D layer provides a global seamless topography (land elevation) and bathymetry (water depths) surface to use as a ground in ArcGIS 3D applications.What can you do with this layer?This layer is meant to be used as a ground in ArcGIS Online Web Scenes, ArcGIS Earth, and ArcGIS Pro to help visualize your maps and data in 3D.How do I use this layer?In the ArcGIS Online Web Scene Viewer:Sign-in with ArcGIS Online accountOn the Designer toolbar, click Add LayersClick Browse layersand choose Living Atlas.Search for TopoBathy 3DAdd TopoBathy 3D (Elevation Layer)The TopoBathy 3D will get added under Ground.Change basemap to OceansOptionally, add any other operational layers to visualize in 3D In ArcGIS Pro:Ensure you are logged in with an ArcGIS Online accountOpen a Global SceneOn the Map tab, click Add Data > Elevation Source LayerUnder Portal, click Living Atlas and search for TopoBathy 3DSelect TopoBathy 3D (Elevation Layer) and click OKThe TopoBathy 3D will get added under GroundOptionally, remove other elevation layers from ground and choose the desired basemap Dataset CoverageTo see the coverage and sources of various datasets comprising this elevation layer, view the World Elevation Coverage Map. Additionally, this layer contains data from Vantor’s Precision 3D Digital Terrain Models for parts of the globe.This layer is part of a larger collection of elevation layers. For more information, see the Elevation Layers group on ArcGIS Online.

  5. Virginia Springs/Groundwater Layers - 2023

    • data.virginia.gov
    • hub.arcgis.com
    • +3more
    Updated Jul 29, 2025
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    Virginia Department of Environmental Quality (2025). Virginia Springs/Groundwater Layers - 2023 [Dataset]. https://data.virginia.gov/dataset/virginia-springs-groundwater-layers-2023
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Area covered
    Hot Springs
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  6. VDEQ Springs FIELD MEASUREMENTS

    • data.virginia.gov
    Updated Aug 31, 2023
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    Virginia Department of Environmental Quality (2023). VDEQ Springs FIELD MEASUREMENTS [Dataset]. https://data.virginia.gov/dataset/vdeq-springs-field-measurements
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    zip, arcgis geoservices rest api, csv, geojson, html, gpkg, gdb, txt, xlsx, kmlAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  7. MRGP Mobile Map

    • anrgeodata.vermont.gov
    Updated Jan 20, 2018
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    Vermont Agency of Natural Resources (2018). MRGP Mobile Map [Dataset]. https://anrgeodata.vermont.gov/maps/fe11c5ffd0d04eeca968115d84dacf90
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    Dataset updated
    Jan 20, 2018
    Dataset provided by
    Vermont Agency Of Natural Resourceshttp://www.anr.state.vt.us/
    Authors
    Vermont Agency of Natural Resources
    Area covered
    Description

    MRGP NewsIf you already have an ArcGIS named user, join the MRGP Group. Doing so allows you complete the permit requirements under your organization's umbrella. As a group member you get access to the all the MRGP items without having to log-in and log-out. If you don’t have an ArcGIS member account please contact Chad McGann (MRGP Program Lead) at 802-636-7239 or your Regional Planning Commission’s Transportation Planner. April 9, 2025. Conditional logic in webform for the newly published Open Drainage Survey was not calculating properly leading to some records with "Undetermined" status and priority. Records have been rescored and survey was republished with corrective logic. Field App version not impacted.March 11, 2025. The Road Erosion Inventory Survey123 questions for Open Drainage Roads are being streamlined to make assessments faster. Coming April 1st, the survey will be changed to only ask if there is erosion depending on if the corresponding practice type is failing. This aims at using erosion as an indicator to measure the success of each of the four Open Drainage road elements to handle stormwater: crown, berm, drainage, turnout.March 29, 2023. For MRGP permitting, Lyndonville Village (GEOID 5041950) has merged with Lyndonville Town (GEOID 5000541725). 121 segments and 14 outlets have been updated to reflect the administrative change. December 8, 2023. The Open Drainage Road Inventory survey has been updated for the 2024 field season. We added and modified a few notes for clarification and corrected an issue with users submitting incomplete surveys. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update, and execute it, but we've experienced select-one questions with duplicate entries.November 29, 2023. The Closed Drainage Road Inventory survey has been updated for the 2024 field season. There's a new outlet status option called "Not accessible" and conditional follow-up question. This has been added to support MS4 requirements. See FAQ section below for how to delete the old survey and download the new one. The app will notify you there's an update and execute it for you but we've experienced select-one questions with duplicate entries. Reporter for MRGPThe Reporter for MRGP doesn't require you to download any apps to complete an inventory; all you need is an internet connection and web browser. The Reporter includes culverts and bridges from VTCULVERTS, town highways from Vtrans, current status for MRGP segments and outlets and second cycle progress. The Reporter is a great way to submit work completed to meet the MRGP standards. MRGP Fieldworker SolutionStep 1: Download the free mobile appsFor fieldworkers to collect and submit data to VT DEC, two free apps are required: ArcGIS Field Maps and Survey123. ArcGIS Field Maps is used first to locate the segment or outlet for inventory, and Survey123, for completing the Road Erosion Inventory.• You can download ArcGIS Fields Maps and Survey123 from the Google Play Store.• You can download ArcGIS Field Maps and Survey123 from Apple Store.Step 2: Sign into the mobile appYou will need appropriate credentials to access fieldworker solution, Please contact your Regional Planning Commission’s Transportation Planner or Chad McGann (MRGP Program Lead) at 802-636-7239.Open Field Maps, select ‘ArcGIS Online’ as shown below, and enter the user name and password. The credential is saved unless you sign out. Step 3: Open the MRGP Mobile MapIf you’re working in an area that has a reliable data connection (e.g. LTE or 4G), open the map below by selecting it.Step 4: Select a road segment or outlet for inventoryUsing your location, highlighted in red below, select the segment or outlet you need to inventory, and select 'Update Road Segment Status' from the pop-up to launch Survey123.

    Step 5: Complete the Road Erosion Inventory and submit inventory to DECSelecting 'Update Road Segment Status' opens Survey123, downloads the relevant survey and pre-populates the REI with important information for reporting to DEC. You will have to enter the same username and password to access the REI forms. The credential is saved unless you sign out of Survey123.Complete the survey using the appropriate supplement below and submit the assessment directly to VT DEC.Paved Roads with Catch Basin SupplementPaved and Gravel Roads with Drainage Ditches Supplement

    Step 6: Repeat!Go back to the ArcGIS Field Maps and select the next segment for inventory and repeat steps 1-5.

    If you have question related to inventory protocol reach out to Chad McGann, MRGP Program Lead, at chad.mcgann@vermont.gov, 802-636-7396.If you have questions about implementing the mobile data collection piece please contact Ryan Knox, ADS-ANR IT, at ryan.knox@vermont.gov, (802) 793-0297

    How do I update a survey when a new one is available?While the Survey123 app will notify you and update it for you, we've experienced some select-one questions having duplicate choices. It's a best practice to delete the old survey and download the new one. See this document for step-by-step instructions.I already have an ArcGIS member account with my organization, can I use it to complete MRGP inventories?Yes! The MRGP solution is shared within an ArcGIS Group that allows outside organizations. Click "join this group" and send an request to the ANR GIS team. This will allow you complete MRGP requirements for the REI and stay logged into your organization. Win-win situation for us both!AGOL Group: https://www.arcgis.com/home/group.html?id=027e1696b97a48c4bc50cbb931de992d#overviewThe location where I'm doing inventory does not have data coverage (LTE or 4G). What can I do?ArcGIS Field Maps allows you take map areas offline when you think there will be spotty or no data coverage. I made a video to demonstrate the steps for taking map areas offline - https://youtu.be/ScpQnenDp7wSurvey123 operates offline by default but you need to download the survey. My recommendation is to test the fieldworker solution (Steps 1-5) before you go into the field but don't submit the test survey.How do remove an offline area and create a new one? Check out this how-to document for instructions. Delete and Download Offline AreaWhere can I download the Road Erosion Scoring shown on the the Atlas? You can download the scoring for both outlets and road segments through the VT Open Geodata Portal.https://geodata.vermont.gov/search?q=mrgpHow do I use my own map for launching the official MRGP REI survey form? You can use the following custom url for launching Survey123, open the REI and prepopulate answers in the form. More information is here. TIP: add what's below directly in the HTML view of the popup not the link as described in the post I provided.

    Segments (lines):Update Road Segment StatusOutlets (points):Update Outlet Status

    How do I save my name and organization information used in subsequent surveys? Watch this short video or execute the steps below:

    Open Survey123 and open a blank REI form (Collect button) Note: it's important to open a blank form so you don't save the same segment id for all your surveys Fill-in your 'Name' and 'Organization' and clear the 'Date of Assessment field' (x button). Using the favorites menu in the top-right corner you can use the current state of your survey to 'Set as favorite answers.' Close survey and 'Save this survey in Drafts.' Use Collector to launch survey from selected feature (segment or outlet). Using the favorites menu again, 'Paste answers from favorite.

    What if the map doesn't have the outlet or road segment I need to inventory for the MRGP? Go Directly to Survey123 and complete the appropriate Road Erosion Inventory and submit the data to DEC. The survey includes a Geopoint (location) that we can use to determine where you completed the inventory.

    Where can I view the Road Erosion Inventories completed with Survey123? Use the web map below to view second cycle inventories completed with Survey123. The first cycle inventories can be downloaded below. First cycle inventories are those collected 2018-2022.Web map - Completed Road Erosion Inventories for MRGPWhere can I download the 2020-2022 data collected with Survey123?Road Segments (lines) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_segments.zipOutlets (points) - https://anrmaps.vermont.gov/websites/MRGP/MRGP2020_outlets.zipWhere can I download the 2019 data collected with Survey123?

    Road Segments (lines) -

  8. VDEQ Spring SITES

    • data.virginia.gov
    Updated Aug 31, 2023
    + more versions
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    Virginia Department of Environmental Quality (2023). VDEQ Spring SITES [Dataset]. https://data.virginia.gov/dataset/vdeq-spring-sites
    Explore at:
    zip, xlsx, geojson, html, gpkg, gdb, arcgis geoservices rest api, txt, kml, csvAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Virginia Department of Environmental Qualityhttps://deq.virginia.gov/
    Description
    The VDEQ Spring SITES database contains data describing the geographic locations and site attributes of natural springs throughout the commonwealth. This data coverage continues to evolve and contains only spring locations known to exist with a reasonable degree of certainty on the date of publication. The dataset does not replace site specific inventorying or receptor surveys but can be used as a starting point. VDEQ's initial geospatial dataset of approximately 325 springs was formed in 2008 by digitizing historical spring information sheets created by State Water Control Board geologists in the 1970s through early 1990s. Additional data has been consolidated from the EPA STORET database, the U.S. Geological Survey's Ground Water Site Inventory (GWSI) and Geographic Names Inventory System (GNIS), the Virginia Department of Health SDWIS database, the Virginia DEQ Virginia Water Use Data Set (VWUDS), the Commonwealth of Virginia Division of Water Resources and Power Bulletin No. 1: "Springs of Virginia" by Collins et al., 1930 as well as several VDWR&P Surface Water Supply bulletins from the 1940's - 1950's. A 1992 Virginia Department of Game and Inland Fisheries / Virginia Tech sponsored study by Helfrich et al. titled "Evaluation of the Natural Springs of Virginia: Fisheries Management Implications", a 2004 Rockbridge County groundwater resources report written by Frits van der Leeden, and several smaller datasets from consultants and citizens were evaluated and added to the database when confidence in locational accuracy was high or could be verified with aerial or LIDAR imagery. Significant contributions have been made throughout the years by VDEQ Groundwater Characterization staff site visits as well as other geologists working in the region including: Matt Heller at Virginia Division of Geology and Mineral Resources (VDMME), Wil Orndorff at the Virginia Department of Conservation and Recreation Karst Program (VDCR), and David Nelms and Dan Doctor of the U.S. Geological Survey (USGS). Substantial effort has been made to improve locational accuracy and remove duplication present between data sources. Hundreds of spring locations that were originally obtained using topographic maps or unknown methods were updated to sub-meter locational accuracy using post-processed differential GPS (PPGPS) and through the use of several generations of aerial imagery (2002-2017) obtained from Virginia's Geographic Information Network (VGIN) and 1-meter LIDAR, where available. Scores of new spring locations were also obtained by systematic quadrangle by quadrangle analysis in areas of the Shenandoah Valley where 1-meter LIDAR datasets where obtained from the U.S. Geological Survey. Future improvements to the dataset will result when statewide 1-meter LIDAR datasets becomes available and through continued field work by DEQ staff and other contributors working in the region. Please do not hesitate to contact the author to correct mistakes or to contribute to the database.

    The VDEQ Spring FIELD MEASUREMENTS database contains data describing field derived physio-chemical properties of spring discharges measured throughout the Commonwealth of Virginia. Field visits compiled in this dataset were performed from 1928 to 2019 by geologists with the State Water Control Board, the Virginia Division of Water and Power, the Virginia Department of Environmental Quality, and the U.S. Geological Survey with contributions from other sources as noted. Values of -9999 indicate that measurements were not performed for the referenced parameter. Please do not hesitate to contact the author to add data to the database or correct errors.


    The VDEQ_Spring_WQ database is a geodatabase containing groundwater sample information collected from springs throughout Virginia. Sample specific information include: location and site information, measured field parameters, and lab verified quantifications of major ionic concentrations, trace element concentrations, nutrient concentrations, and radiological data. The VDEQ_Spring_WQ database is a subset of the VDEQ GWCHEM database which is a flat-file geodatabase containing groundwater sample information from groundwater wells and springs throughout Virginia. Sample information has been correlated via DEQ Well # and projected using coordinates in VDEQ_Spring_SITES database. The GWCHEM database is comprised of historic groundwater sample data originally archived in the United States Geological Survey (USGS) National Water Information System (NWIS) and the Environmental Protection Agency (EPA) Storage and Retrieval (STORET) data warehouse. Archived STORET data originated as groundwater sample data collected and uploaded by Virginia State Water Control Board Personnel. While groundwater sample data in the STORET data warehouse are static, new groundwater sample data are periodically uploaded to NWIS and spring laboratory WQ data reflect NWIS downloaded on 9/30/2019. Recent groundwater sample data collected by Virginia Department of Environmental Quality (DEQ) personnel as part of the Ambient Groundwater Sampling Program are entered into the database as lab results are made available by the Division of Consolidated Laboratory Services (DCLS). When possible, charge balances were calculated for samples with reported values for major ions including (at a minimum) calcium, magnesium, potassium, sodium, bicarbonate, chloride, and sulfate. Reported values for Nitrate as N, carbonate, and fluoride were included in the charge balance calculation when available. Field determined values for bicarbonate and carbonate were used in the charge balance calculation when available. For much of the legacy DEQ groundwater sample data, bicarbonate values were derived from lab reported values of alkalinity (as mg/CaCO3) under the assumption that there was no contribution by carbonate to the reported alkalinity value. Charge balance values are reported in the "Charge Balance" column of the GWCHEM geodatabase. The closer the charge balance value is to unity (1), the lower the assumed charge balance error.In order to preserve the numerical capabilities of the database, non- numeric lab qualifiers were given the following numeric identifiers:- (minus sign) = less than the concentration specified to the right of the sign-11110 = estimated-22220 = presence verified but not quantified-33330 = radchem non-detect, below sslc-4440 = analyzed for but not detected-55550 = greater than the concentration to the right of the zero-66660 = sample held beyond normal holding time-77770 = quality control failure. Data not valid.-88880 = sample held beyond normal holding time. Sample analyzed for but not detected. Value stored is limit of detection for proces in use.-11120 = Value reported is less than the criteria of detection.-9999 = no data (parameter not quantified)

    A more in depth descprition and hydrogeologic analysis of the database can be found here
    An in Depth data fact sheet can be found here
  9. National Weather Service 72 Hour Temperature Forecast

    • resilience.climate.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +3more
    Updated Aug 16, 2022
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    Esri (2022). National Weather Service 72 Hour Temperature Forecast [Dataset]. https://resilience.climate.gov/maps/1c8e963bc94c4026bc67488e954d1cb7
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map displays the Apparent and Expected Air Temperature forecast over the next 72 hours across the Contiguous United States, Alaska, Guam, Hawaii, and Puerto Rico in 3 hour increments. The original raster data has been processed into 1-degree contours.Two layers are included: apparent and expected temperature, both include a Time Series set to a 3-hour time interval. The apparent temperature is the perceived (or feels like) temperature derived from either a combination of temperature and wind (wind chill) or temperature and humidity (heat index) for the indicated hour. When the temperature at a particular grid point falls to 50 °F or less, wind chill will be used for that point for the apparent temperature. When the temperature at a grid point rises above 80 °F, the heat index will be used for apparent temperature.
    Between 51 and 80 °F, the apparent temperature will be the ambient air temperature.The expected temperature is the forecasted ambient air temperature in °F.See sister data product for Min and Max Daily TemperaturesRevisionsApr 21, 2022: Added Forecast Period Number 'Interval' field for an alternate query method to the Timeline of data. Disabled Time Series by default to improve initial Map Viewer exprience and added a Filter for 'interval = 1' to display initial forecast time data (current time period).Apr 22, 2022: Set 'Apparent Temperature' layer visibility to True by default, so content is visible when initially viewed.Sep 1, 2022: Updated renderer Arcade logic on layers to correctly symbolize on values greater than 120 and less than -60 degrees.DetailService Data update interval is: HourlyWhere is the data coming from?The National Digital Forecast Database (NDFD) was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces gridded forecasts of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from National Weather Service (NWS) field offices working in collaboration with the National Centers for Environmental Prediction (NCEP). All of these organizations are under the administration of the National Oceanic and Atmospheric Administration (NOAA).Apparent Temperature Source:CONUS: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.apt.binALASKA: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.alaska/VP.001-003/ds.apt.binHAWAII: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.hawaii/VP.001-003/ds.apt.binGUAM: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.guam/VP.001-003/ds.apt.binPUERTO RICO: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.puertori/VP.001-003/ds.apt.binExpected Temperature Source:CONUS: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.temp.binALASKA: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.alaska/VP.001-003/ds.temp.binHAWAII: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.hawaii/VP.001-003/ds.temp.binGUAM: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.guam/VP.001-003/ds.temp.binPUERTO RICO: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.puertori/VP.001-003/ds.temp.binWhere can I find other NDFD data?The Source data is downloaded and parsed using the Aggregated Live Feeds methodology to return information that can be served through ArcGIS Server as a map service or used to update Hosted Feature Services in Online or Enterprise.What can you do with this layer?This feature service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation or add a Filter using the 'Forecast Period Number'.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page.

  10. a

    Active Parcels from DataSF pulled daily polygons

    • hub.arcgis.com
    Updated Sep 26, 2025
    + more versions
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    City and County of San Francisco (2025). Active Parcels from DataSF pulled daily polygons [Dataset]. https://hub.arcgis.com/datasets/sfgov::active-parcels-from-datasf-pulled-daily?layer=0
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    City and County of San Francisco
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Recorded parcel geography, only showing active parcels, with date recorded parcel was added, date recorded parcel was dropped/retired, date was added, dropped or altered re map layer. Contains geography created since the inception of the basemap in 1995, with some exceptions. Zoning District columns reflect current zoning.This data has been filtered to only include active parcels. Data pushed to ArcGIS Online on November 7, 2025 at 5:19 AM by SFGIS.Data from: https://data.sfgov.org/d/acdm-wktnDescription of dataset columns:

     mapblklot
     For parcels that are condominium lots and share the same 2D space, this is the lowest value Assessor Parcel Number in the set.
    
    
     blklot
     Unique Assessor Parcel Number, combination of the Block Number and the Lot Number
    
    
     block_num
     Assessor Block Number
    
    
     lot_num
     Assessor Lot Number
    
    
     from_address_num
     From Address Number, i.e., the lowest address house number
    
    
     to_address_num
     To Address Number, i.e., the highest address house number
    
    
     street_name
     Street Name
    
    
     street_type
     Street Type, or suffix (e.g., ST, BLVD, etc.)
    
    
     odd_even
     Odd or Even Address Number Range
    
    
     in_asr_secured_roll
     Indicates the record is in the current Assessor Secured Roll
    
    
     pw_recorded_map
     Indicates the record is part of the current Public Works basemap dataset, based on recorded map information.
    
    
     zoning_code
     Zoning Code - based on City Planning data
    
    
     zoning_district
     Zoning District Name - based on City Planning data
    
    
     date_rec_add
     This is the date that the documents related the to addition of the parcel was recorded, as tracked by Public Works.
    
    
     date_rec_drop
     This is the date that the documents related the to dropping/retiring of the parcel was recorded, as tracked by Public Works.
    
    
     date_map_add
     This is the date that Public Works adding the parcel geography.
    
    
     date_map_drop
     This is the date that Public Works dropped the parcel geography.
    
    
     date_map_alt
     This is the date that Public Works altered the parcel geography.
    
    
     project_id_add
     This is the project identifier for the Public Works project related to the addition of the parcel.
    
    
     project_id_drop
     This is the project identifier for the Public Works project related to the dropping/retiring of the parcel.
    
    
     project_id_alt
     This is the project identifier for the Public Works project related to the altering of the parcel.
    
    
     active
    
    
    
     shape
     The geometry, multipolygon format
    
    
     centroid_latitude
     The centroid latitude of the parcel
    
    
     centroid_longitude
     The centroid longitude of the parcel
    
    
     supdist
     Full name of Supervisorial District.
    
    
     supervisor_district
     Supervisor District Number
    
    
     supdistpad
     Supervisor District Number with zero padding (01,02,...)
    
    
     numbertext
     Supervisor District Number as text (ONE, TWO, ...)
    
    
     supname
     Name of current Supervisor of District.
    
    
     analysis_neighborhood
     San Francisco Neighborhood for analysis, per DataSF.
    
    
     police_district
     The corresponding SFPD district.
    
    
     police_company
     The corresponding SFPD district company.
    
    
     planning_district
     These are grouping of census tracts. Planning Districts are used in various areas of the Planning process, mainly for analysis and management but are also in some parts of the General Plan.
    
    
     planning_district_number
     The number corresponding Planning District field.
    
    
     data_as_of
     Timestamp the data was last updated in the source system
    
    
     data_loaded_at
     Timestamp the data was loaded to the open data portal
    

    Note: If no description was provided by DataSF, the cell is left blank. See the source data for more information.

  11. a

    Housing Database

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 14, 2020
    + more versions
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    NYC DCP Mapping Portal (2020). Housing Database [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/DCP::housing-database
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    Dataset updated
    Dec 14, 2020
    Dataset authored and provided by
    NYC DCP Mapping Portal
    Area covered
    Description

    The NYC Department of City Plannings (DCP) Housing Database contains all NYC Department of Buildings (DOB) - approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts.

  12. USA Cropland

    • sal-urichmond.hub.arcgis.com
    Updated Jun 7, 2019
    + more versions
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    Esri (2019). USA Cropland [Dataset]. https://sal-urichmond.hub.arcgis.com/items/6d9c03213d874def89663afc26189acf
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    Dataset updated
    Jun 7, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    USA Cropland is a time-enabled imagery layer of the USDA Cropland Data Layer dataset from the National Agricultural Statistics Service (NASS). The time series shows the crop grown during every growing season in the conterminous US since 2008. Use the time slider to select only one year to view or analyze. Press play to see each growing season displayed sequentially in an animated map. The USDA is now serving the Cropland Data Layer in their own application called CroplandCros which allows selection and display of a single product or growing season. This application will eventually replace their popular CropScape application. Dataset SummaryVariable mapped: Crop grown in each pixel since 2008.Data Projection: AlbersMosaic Projection: AlbersExtent: Conterminous USACell Size: 30m in 2008-2023, 10m in 2024Source Type: ThematicVisible Scale: All scales are visibleSource: USDA NASSPublication Date: 2/26/2025 Why USA Cropland living atlas layer masks out NLCD land cover in its default templateUSDA Cropland Data Layer, by default as downloaded from USDA, fills in the non-cultivated areas of the conterminous USA with land cover classes from the MRLC National Land Cover Dataset (NLCD). The default behavior for Esri"s USA Cropland layer is a little bit different. By default the Esri USA Cropland layer uses the analytic renderer, which masks out this NLCD data. Why did we choose to mask out the NLCD land cover classes by default? While crops are updated every year from USDA NASS, the NLCD data changes every several years, and it can be quite a bit older than the crop data beside it. If analysis is conducted to quantify landscape change, the NLCD-derived pixels will skew the results of the analysis because NLCD land cover in a yearly time series may appear to remain the same class for several years in a row. This can be problematic because conclusions drawn from this dataset may underrepresent the amount of change happening to the landscape. To display the most current land cover available from both sources, add both the USA NLCD Land Cover service and USA Cropland time series to your map. Use the analytical template with the USA Cropland service, and draw it on top of the USA NLCD Land Cover service. When a time slider is used with these datasets together, the map user will see the most current land cover from both services in any given year. This layer and the data making up the layer are in the Albers map projection. Albers is an equal area projection, and this allows users of this layer to accurately calculate acreage without additional data preparation steps. This also means it takes a tiny bit longer to project on the fly into web Mercator, if that is the destination projection of the layer. Processing templates available with this layerTo help filter out and display just the crops and land use categories you are interested in showing, choose one of the thirteen processing templates that will help you tailor the symbols in the time series to suit your map application. The following are the processing templates that are available with this layer: Analytic RendererUSDA Analytic RendererThe analytic renderer is the default template. NLCD codes are masked when using analytic renderer processing templates. There is a default esri analytic renderer, but also an analytic renderer that uses the original USDA color scheme that was developed for the CropScape layers. This is useful if you have already built maps with the USDA color scheme or otherwise prefer the USDA color scheme. Cartographic RendererUSDA Cartographic RendererThese templates fill in with NLCD land cover types where crops are not cultivated, thereby filling the map with color from coast to coast. There is also a template using the USDA color scheme, which is identical to the datasets as downloaded from USDA NASS. In addition to different ways to display the whole dataset, some processing templates are included which help display the top agricultural products in the United States. If these templates seem to include too many crops in their category (for example, tomatoes are included in both the fruit and vegetables templates), this is because it"s easier for a map user to remove a symbol from a template than it is to add one. Corn - Corn, sweet corn, popcorn or ornamental corn, plus double crops with corn and another crop.Cotton - Cotton and double crops, includes double crops with cotton and another crop.Fruit - Symbolized fruit crops include not only things like melons, apricots, and strawberries, but also olives, avocados, and tomatoes.Nuts - Peanuts, tree nuts, sunflower, etc.Oil Crops - Oil crops include rapeseed and canola, soybeans, avocado, peanut, corn, safflower, sunflower, also cotton and grapes.Permanent Crops - Crops that do not need to be replanted after harvest. Includes fruit and nut trees, caneberries, and grapes.Rice - Rice crops.Sugar - Crops grown to make sugars. Sugar beets and cane are displayed of course, but so are corn and grapes.Soybeans - Soybean crops. Includes double crops where soybeans are grown at some time during the growing season.Vegetables - Vegetable crops, and yes this includes tomatoes.Wheat - Winter and spring wheat, durum wheat, triticale, spelt, and wheat double crops. In many places, two crops were grown in one growing season. Keep in mind that a double crop of corn and soybeans will display in both the corn and soybeans processing templates. What can you do with this layer?This layer is suitable for both visualization and analysis acrossthe ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application. Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "USA Cropland" in the search box and browse to the layer. Select the layer then click Add to Map. In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "USA Cropland" in the search box, browse to the layer then click OK. In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro. Online you can filter the layer to show subsets of the data using the filter button and the layer"s built-in raster functions. The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one. Index to raster values in USA Cropland:Value,Crop0,Background (not a cultivated crop or no data)1,Corn2,Cotton3,Rice4,Sorghum5,Soybeans6,Sunflower10,Peanuts11,Tobacco12,Sweet Corn13,Popcorn or Ornamental Corn14,Mint21,Barley22,Durum Wheat23,Spring Wheat24,Winter Wheat25,Other Small Grains26,Double Crop Winter Wheat/Soybeans27,Rye28,Oats29,Millet30,Speltz31,Canola32,Flaxseed33,Safflower34,Rape Seed35,Mustard36,Alfalfa37,Other Hay/Non Alfalfa38,Camelina39,Buckwheat41,Sugarbeets42,Dry Beans43,Potatoes44,Other Crops45,Sugarcane46,Sweet Potatoes47,Miscellaneous Vegetables and Fruits48,Watermelons49,Onions50,Cucumbers51,Chick Peas52,Lentils53,Peas54,Tomatoes55,Caneberries56,Hops57,Herbs58,Clover/Wildflowers59,Sod/Grass Seed60,Switchgrass61,Fallow/Idle Cropland62,Pasture/Grass63,Forest64,Shrubland65,Barren66,Cherries67,Peaches68,Apples69,Grapes70,Christmas Trees71,Other Tree Crops72,Citrus74,Pecans75,Almonds76,Walnuts77,Pears81,Clouds/No Data82,Developed83,Water87,Wetlands88,Nonagricultural/Undefined92,Aquaculture111,Open Water112,Perennial Ice/Snow121,Developed/Open Space122,Developed/Low Intensity123,Developed/Med Intensity124,Developed/High Intensity131,Barren141,Deciduous Forest142,Evergreen Forest143,Mixed Forest152,Shrubland176,Grassland/Pasture190,Woody Wetlands195,Herbaceous Wetlands204,Pistachios205,Triticale206,Carrots207,Asparagus208,Garlic209,Cantaloupes210,Prunes211,Olives212,Oranges213,Honeydew Melons214,Broccoli215,Avocados216,Peppers217,Pomegranates218,Nectarines219,Greens220,Plums221,Strawberries222,Squash223,Apricots224,Vetch225,Double Crop Winter Wheat/Corn226,Double Crop Oats/Corn227,Lettuce228,Double Crop Triticale/Corn229,Pumpkins230,Double Crop Lettuce/Durum Wheat231,Double Crop Lettuce/Cantaloupe232,Double Crop Lettuce/Cotton233,Double Crop Lettuce/Barley234,Double Crop Durum Wheat/Sorghum235,Double Crop Barley/Sorghum236,Double Crop Winter Wheat/Sorghum237,Double Crop Barley/Corn238,Double Crop Winter Wheat/Cotton239,Double Crop Soybeans/Cotton240,Double Crop Soybeans/Oats241,Double Crop Corn/Soybeans242,Blueberries243,Cabbage244,Cauliflower245,Celery246,Radishes247,Turnips248,Eggplants249,Gourds250,Cranberries254,Double Crop Barley/Soybeans 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.

  13. a

    Wessex Water Storm Overflow Activity

    • hub.arcgis.com
    • portal-streamwaterdata.hub.arcgis.com
    Updated May 10, 2024
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    WessexWaterData (2024). Wessex Water Storm Overflow Activity [Dataset]. https://hub.arcgis.com/datasets/632885799ff946cd86200f07b7f175fb
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    Dataset updated
    May 10, 2024
    Dataset authored and provided by
    WessexWaterData
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset has been designed to enable a national picture to be built of the operation of storm overflows in the UK. This dataset will provide the status of Event Duration Monitoring equipment used to detect storm overflow discharges within one hour of the monitor indicating a discharge start or stop. It will also provide information about the location of indicated discharges, recent discharges and receiving watercourses.You can find further information about this data and what it represents on Stream’s detailed data pageWessex Water’s data is refreshed at intervals of 5 minutes.The following verification steps are performed on this data:Ad-hoc manual verification of discharge data is undertaken by Wessex Water staff to confirm if a discharge is valid. In some cases this may result in a discharge being removed from the feed if it has been found to be an error. Automated processes for flatline and spike detection are due to be implemented by the end of 2024.Wessex Water Storm Overflow Activity © 2024 by Wessex Water is licensed under CC BY 4.0

  14. Apparent

    • resilience-and-adaptation-information-portal-nationalclimate.hub.arcgis.com
    • resilience-fema.hub.arcgis.com
    • +1more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Apparent [Dataset]. https://resilience-and-adaptation-information-portal-nationalclimate.hub.arcgis.com/maps/esri2::apparent
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map displays the Apparent and Expected Air Temperature forecast over the next 72 hours across the Contiguous United States, Alaska, Guam, Hawaii, and Puerto Rico in 3 hour increments. The original raster data has been processed into 1-degree contours.Two layers are included: apparent and expected temperature, both include a Time Series set to a 3-hour time interval. The apparent temperature is the perceived (or feels like) temperature derived from either a combination of temperature and wind (wind chill) or temperature and humidity (heat index) for the indicated hour. When the temperature at a particular grid point falls to 50 °F or less, wind chill will be used for that point for the apparent temperature. When the temperature at a grid point rises above 80 °F, the heat index will be used for apparent temperature.
    Between 51 and 80 °F, the apparent temperature will be the ambient air temperature.The expected temperature is the forecasted ambient air temperature in °F.See sister data product for Min and Max Daily TemperaturesRevisionsApr 21, 2022: Added Forecast Period Number 'Interval' field for an alternate query method to the Timeline of data. Disabled Time Series by default to improve initial Map Viewer exprience and added a Filter for 'interval = 1' to display initial forecast time data (current time period).Apr 22, 2022: Set 'Apparent Temperature' layer visibility to True by default, so content is visible when initially viewed.Sep 1, 2022: Updated renderer Arcade logic on layers to correctly symbolize on values greater than 120 and less than -60 degrees.DetailService Data update interval is: HourlyWhere is the data coming from?The National Digital Forecast Database (NDFD) was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces gridded forecasts of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from National Weather Service (NWS) field offices working in collaboration with the National Centers for Environmental Prediction (NCEP). All of these organizations are under the administration of the National Oceanic and Atmospheric Administration (NOAA).Apparent Temperature Source:CONUS: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.apt.binALASKA: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.alaska/VP.001-003/ds.apt.binHAWAII: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.hawaii/VP.001-003/ds.apt.binGUAM: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.guam/VP.001-003/ds.apt.binPUERTO RICO: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.puertori/VP.001-003/ds.apt.binExpected Temperature Source:CONUS: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.temp.binALASKA: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.alaska/VP.001-003/ds.temp.binHAWAII: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.hawaii/VP.001-003/ds.temp.binGUAM: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.guam/VP.001-003/ds.temp.binPUERTO RICO: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.puertori/VP.001-003/ds.temp.binWhere can I find other NDFD data?The Source data is downloaded and parsed using the Aggregated Live Feeds methodology to return information that can be served through ArcGIS Server as a map service or used to update Hosted Feature Services in Online or Enterprise.What can you do with this layer?This feature service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation or add a Filter using the 'Forecast Period Number'.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page.

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esri_en (2014). Maps and Apps Gallery (Mature) [Dataset]. https://gis-idaho.hub.arcgis.com/items/8fe02db25bf246dea36b45c5a95728b3
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Maps and Apps Gallery (Mature)

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Dataset updated
Jul 2, 2014
Dataset provided by
Esrihttp://esri.com/
Authors
esri_en
Description

Maps and Apps Gallery is a configurable group app template that can be used for displaying a collection of maps, applications, documents, and layers. Gallery contents are searchable and can be filtered using item tags. Private gallery content can be accessed by signing in to the app using your ArcGIS credentials.Use Casesbuilding a common operational picture organizing a series of maps & apps for a community eventConfigurable OptionsConfigure Maps and Apps Gallery to present content from any group in your organization and personalize the app by modifying the following options: Display a custom title and logo in the application headerUse a custom color schemeChoose between grid- and list-style layoutsEnable or disable the tag cloud which can be used to filter the items displayed in the galleryChoose to open maps and layers in ArcGIS Online, or to preview them in the app's viewerSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsMaps and Apps Gallery will display all item types supported by ArcGIS Online and Portal, although sharing maps is preferable to sharing stand-alone layers.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a group and choose to create a web appOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.Learn MoreFor release notes and more information on configuring this app, see the Maps and Apps Gallery documentation.

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