22 datasets found
  1. a

    NOAA Imagery Swipe Tool - Maria

    • gis-fema.hub.arcgis.com
    Updated Sep 25, 2017
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    FEMA AGOL (2017). NOAA Imagery Swipe Tool - Maria [Dataset]. https://gis-fema.hub.arcgis.com/datasets/FEMA::noaa-imagery-swipe-tool-maria-/about
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    Dataset updated
    Sep 25, 2017
    Dataset authored and provided by
    FEMA AGOL
    Area covered
    Description

    This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery. Individual images have been combined into a larger mosaic and tiled for distribution. The approximate ground sample distance (GSD) for each pixel is ~25 cm / zoom level 19.

    https://storms.ngs.noaa.gov/storms/maria/index.html

  2. Basic (Media Map)

    • anla-esp-esri-co.hub.arcgis.com
    • city-of-lawrenceville-arcgis-hub-lville.hub.arcgis.com
    Updated Sep 22, 2021
    + more versions
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    esri_en (2021). Basic (Media Map) [Dataset]. https://anla-esp-esri-co.hub.arcgis.com/items/a3cbc26d59124dfd9b6b740937f37d10
    Explore at:
    Dataset updated
    Sep 22, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Use the Basic template to maximize the potential of a map with map navigation tools, time animation, and swipe. Display and animate time-enabled data to highlight changes over time. Set the option to disable scroll and configure pop-ups to optimize the app for embedding, even in a small web page space. Enable the export tool to allow users to save the map to a file for export. Examples: Support a map with descriptive text by including an information panel with a title and description, or a splash screen to help orient your audience and communicate your message. Provide an app with common map tools, including a legend, layer list, basemap toggle, overview map, swipe, and time slider. Allow app users to choose between two basemaps to explore different perspectives. Data requirements The Basic template has no data requirements. Key app capabilities Time - Provide a configurable time slider that animates changes in data over time. The map must be time enabled. Swipe tool - Compares two layers in the map by viewing them simultaneously. Hover pop-ups - Provide users quick access to attribute information that appears when hovering over a feature in the map. Locator map - Display an inset map with the app's map area in the context of a broader area. Export - Capture an image (PDF, JPG, or PNG) from the app that a user can save. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

  3. A

    USPS Harvey Imagery Impact Swipe Map

    • data.amerigeoss.org
    esri rest, html
    Updated Sep 4, 2017
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    AmeriGEO ArcGIS (2017). USPS Harvey Imagery Impact Swipe Map [Dataset]. https://data.amerigeoss.org/dataset/usps-harvey-imagery-impact-swipe-map
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    html, esri restAvailable download formats
    Dataset updated
    Sep 4, 2017
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    This application was developed by Esri and is initially comparing NOAA post event aerial imagery to pre-event imagery for analysis and enhanced understanding of impacts. This application may expand its scope as more imagery is acquired and made available. This tool was developed for the US Postal Service to provide a preliminary assessment of their physical infrastructure.

  4. Data from: Historic Maps

    • teachwithgis.ie
    Updated May 12, 2023
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    Esri Ireland ArcGIS for Schools Program (2023). Historic Maps [Dataset]. https://www.teachwithgis.ie/items/bdddfc6e37da4f989ac4de767eee7c10
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    Dataset updated
    May 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Ireland ArcGIS for Schools Program
    Description

    This tool includes a variety of layers as well as historical basemaps such as the Cassini 6 Inch. Use the Swipe Tool (brown button) to compare historic and modern maps with each other.Visit https://maps.scoilnet.ie/ to access video tutorials on how to use this map viewer as well as links to other useful applications such as The True Size and Passengers of the Titanic.

  5. Imagery Viewer (Mature)

    • noveladata.com
    • data-salemva.opendata.arcgis.com
    Updated Jun 26, 2018
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    esri_en (2018). Imagery Viewer (Mature) [Dataset]. https://www.noveladata.com/items/995733183b754cf68a57c020211700cf
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    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Imagery Viewer is a configurable app template for visualizing and exploring imagery through time and space, and includes tools for navigating through time, recording locations, measurement, and more. A one-image configuration lets users focus on a single imagery layer, while a two-image configuration lets users compare two imagery layers using a swipe tool.Imagery Viewer users can do the following:Visualize imagery layers (and non-imagery layers) from the app’s web mapExplore an imagery layer through time for an area of interestZoom to bookmarked areas of interest (or bookmark their own)Select specific images from a layer to visualizeAnnotate imagery using editable feature layersPerform image measurement on imagery layers that have mensuration capabilitiesExport an imagery layer to the user's local machine, or as layer in the user’s ArcGIS accountUse CasesA student investigating urban expansion over time A farmer using NAIP imagery to visualize his land and record crop typesAn image analyst recording the location of an aircraft identified from high resolution satellite imageryA property appraiser recording notes about newly constructed houses, including calculating building heights in-appSupported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsCreating an app with this template requires a web map with at least one imagery layer.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map 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.

  6. O

    Lower Long Island Sound Watershed Land Cover

    • data.ct.gov
    • geodata.ct.gov
    application/rdfxml +5
    Updated Jan 26, 2023
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    UConn (2023). Lower Long Island Sound Watershed Land Cover [Dataset]. https://data.ct.gov/w/j5g3-wfzg/wqz6-rhce?cur=uPwwv2cy6lz
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    xml, application/rdfxml, csv, json, application/rssxml, tsvAvailable download formats
    Dataset updated
    Jan 26, 2023
    Dataset authored and provided by
    UConn
    Area covered
    Long Island Sound, Long Island
    Description
    This viewer is available on CT ECO from UConn CLEAR. The viewer contains the lower Long Island Sound Watershed's Changing Landscape land cover in an easy-to-explore tool.

    Description
    The Lower Long Island Sound (LIS) Land Cover Viewer contains seven dates of land cover, between 1985 and 2015, including change to and change from layers. The land cover layers are in the bottom half of the layer list and start with a year, such as 1985 Land Cover.

    For each major land cover class (forest, ag field, developed, turf & grass) there are summary stats by HUC12 watershed shown as layers in the viewer with color ramps. The darker the color, the higher the presence. Summary stats include change by watershed as well, where more change is shown with darker colors. These layers are in the top half of the viewer.

    The viewer also contains estimated percent impervious surface layers from 1985, 2015, and change, along with riparian area land cover from 1985, 2015, and 1985-2015 change.

    More about land cover on the CLEAR website, including Number and Charts data visualizations.

    Use
    To use the viewer, use the Layer List (upper right) to turn on and off layers (remember to turn OFF the ones above on the list or they will hide layers below) to compare and explore the area. The swipe tool (lower left) is a fun way to compare two datasets. Be sure at least two items are checked on in the layer list and use the swipe tool to compare. Refer to Viewer Help for more details and tips.

    Tips
    - compare dates of land cover by turning them on and off in the layer list, or using they swipe tool
    - for any year of land cover (the layers are called 1985 Land Cover, 1990 Land Cover, etc.), click on the little arrow to the left in the table of contents to see layers that show just main land cover classes. This is a good way to explore just forest land cover or just developed land cover - you get the point!
    - land cover from satellite imagery at this resolution can look "fuzzy" compared to high resolution datasets. It is coarse but is an excellent, and perhaps the only way, to look at change over 30 years.
    - visit the Land Cover FAQs for more information.

  7. a

    EGLE GIS Example -- LIDAR Swipe

    • learn-egle.hub.arcgis.com
    Updated Nov 29, 2023
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    Michigan Dept. of Environment, Great Lakes, and Energy (2023). EGLE GIS Example -- LIDAR Swipe [Dataset]. https://learn-egle.hub.arcgis.com/datasets/egle-gis-example-lidar-swipe
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    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Michigan Dept. of Environment, Great Lakes, and Energy
    Description

    Water underneath the ground is important and EGLE staff use GIS to help protect it. Use the "Swipe" tool here to compare and contrast two maps. On the left is regular aerial imagery. On the right you can see even more about the landscape using geospatial analyses! This additional information is important for staff to know about when protecting Michigan's groundwater.This example is embedded into the MI EnviroLearning Hub. If you have any questions about the content within this story map, please contact EGLE-Maps@Michigan.gov.

  8. g

    SRA FHSZ Rollout Application (Comparison) September 2023 | gimi9.com

    • gimi9.com
    Updated Sep 15, 2023
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    (2023). SRA FHSZ Rollout Application (Comparison) September 2023 | gimi9.com [Dataset]. https://gimi9.com/dataset/california_sra-fhsz-rollout-application-comparison-september-2023
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    Dataset updated
    Sep 15, 2023
    License

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

    Description

    This application presents fire hazard severity zones as submitted September 29, 2023, for review. It also contains the fire hazard severity zones released on June 15, 2023. A swipe tool is on by default to highlight changes.

  9. O

    CT Aerial Imagery Viewer v2

    • data.ct.gov
    • geodata.ct.gov
    application/rdfxml +5
    Updated Jun 27, 2025
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    (2025). CT Aerial Imagery Viewer v2 [Dataset]. https://data.ct.gov/dataset/CT-Aerial-Imagery-Viewer-v2/khzr-x425
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    tsv, xml, application/rssxml, application/rdfxml, csv, jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    Area covered
    Connecticut
    Description
    This viewer is available through CT ECO, a partnership between CT DEEP and UConn CLEAR.
    Description
    The Aerial Imagery Viewer contains all of Connecticut’s statewide digital aerial imagery plus some. The collection includes black and white, color, and infrared imagery going as far back as 1934 with varying pixel resolutions (up to 3 inch!) and funded by different regional, state, and federal agencies. Refer to the CT Digital Imagery page for descriptions of the datasets available on CT ECO and in the Aerial Imagery Viewer.
    Use
    To use the viewer, zoom in and then use the Layer List (upper right) to turn on and off layers (remember to turn OFF the ones above on the list or they will hide layers below) to compare and explore the area. The swipe tool (lower left) is a fun way to compare two datasets. Be sure at least two items are checked on in the layer list and use the swipe tool to compare. Refer to Viewer Help for more details and tips.
    Tips
    - smaller pixels sizes mean more spatial detail
    - leaf off imagery has a lot of brown and provides better visibility off features that exist under tree canopies
    - near infrared layers are displayed so that healthy green vegetation is the brightest red
    - near infrared layers provide excellent contrast between vegetated and non-vegetated features
  10. Imagery Viewer

    • anla-esp-esri-co.hub.arcgis.com
    • city-of-lawrenceville-arcgis-hub-lville.hub.arcgis.com
    Updated Apr 14, 2021
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    esri_en (2021). Imagery Viewer [Dataset]. https://anla-esp-esri-co.hub.arcgis.com/items/e336805d783a44039d1231f6f3f040f7
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    Dataset updated
    Apr 14, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Use the Imagery Viewer template to allow app users visualize and explore imagery through time and space. This template includes tools that you can enable for navigating through time, recording locations, measurement, and more. A single-image configuration lets users focus on a single imagery layer, while a two-image configuration lets users compare two imagery layers using a swipe tool. Examples: Investigate urban expansion in a major city by comparing changes to imagery over time. Record the location of a point of interest identified from a high-resolution satellite image. Document notes about newly constructed houses, including calculating building heights in-app. Data requirements The Imagery Viewer template requires a web map with at least one imagery layer. Key app capabilities Imagery visualization - Visualize imagery layers (and nonimagery layers) from the app's web map. Bookmarks - Allow users to zoom and pan to a collection of preset extents that are saved in the map. Image search - Enable individual image selector to allow users to search dynamic imagery layers for specific images. Swipe - Allows users to compare differences between images in a map. Image measurement - Enable this tool to allow users to perform image measurement on imagery layers that have mensuration capabilities. Share - Export an imagery layer to the user's local machine as a TIFF or as a layer in their organization. Home, Zoom controls, Legend, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

  11. a

    Lake Sulunga Change Detection Viewer

    • africageoportal.com
    • deafrica.africageoportal.com
    Updated Oct 29, 2020
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    Africa GeoPortal (2020). Lake Sulunga Change Detection Viewer [Dataset]. https://www.africageoportal.com/datasets/africageoportal::lake-sulunga-change-detection-viewer/about
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    Dataset updated
    Oct 29, 2020
    Dataset authored and provided by
    Africa GeoPortal
    License

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

    Area covered
    Lake Sulunga
    Description

    Lake Sulunga, also known as Bahi Swamp, is located in Central Tanzania, approximately 45 km west of the capital of Dodoma. It is a fertile oasis in the otherwise semi-arid and drought-prone region.This viewer uses the swipe tool to compare the standard extent of Lake Sulunga to its extent during the El-Niño floods from March - May 2016.Use the Layer List at the top left of the viewer to toggle on/off the extent of the lake during the severe drought that was experienced around the Dodoma/Singida region in the previous year. The Bookmarks zoom to the two key settlements at the south west of the lake that were adversely affected by the floods.The layers in the web map are from the Multispectral Landsat image service from the ArcGIS Living Atlas of the World covering the landmass of the World, centered on Lake Sulunga, Tanzania. The NIR, IR1 and R (564) renderer has been applied, resulting in a false colour image where land appears in shades of browns, oranges and greens, and water appears in shades of blue. Moisture differences are distinctly identified where wetter soil appears darker because of the infrared absorption capabilities of water.

  12. Public Information (Mature)

    • hub.arcgis.com
    • data-salemva.opendata.arcgis.com
    Updated Mar 5, 2014
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    esri_en (2014). Public Information (Mature) [Dataset]. https://hub.arcgis.com/items/f01baaccb4b84bcbb9ac0810e717cae3
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    Dataset updated
    Mar 5, 2014
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Public Information is a configurable app template that highlights areas through authoritative data feeds and social content, allowing the public to contribute to your map. Use CasesEnhance your map by overlaying social media feeds on your operational layers. Displays geotagged social media contributions to understand what is trending through these networks centered on your theme and location. This is a good choice when you want to assess local sentiment on current events.Use a swipe tool to hide and reveal a layer within your map. This is a good choice for inspecting the difference between two scenarios. For example, you could show the difference between current sea level and a projected rise in sea level, or visualize an area before and after a tornado where the map view may want to closely inspect the difference between the scenarios at a large scale.Configurable OptionsPublic Information present content from a web map with social media feeds and can be configured using the following options:Provide a title and description, as well as configure a custom splash screen that displays when the app is first loaded.Set up an interactive layer for taking notes. This is a map notes layer contained in the web map.Enable a swipe layer and choose between vertical or horizontal orientation.Determine a default and alternate basemap to be offered in an on screen basemap widget.Enable layers to be generated via content from Instagram, Flickr, Twitter, Webcams.travel, and YouTube.Configure the ability for feature and location search.Enable or disable many UI and mapping configurable options such as overview map, bookmarks, share dialog, legend, summary information, views count, modified date, etc.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis application has no data requirements.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map 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.

  13. d

    SRA FHSZ Rollout Application (Comparison) September 2023

    • catalog.data.gov
    • data.ca.gov
    • +3more
    Updated Jul 23, 2025
    + more versions
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    CAL FIRE (2025). SRA FHSZ Rollout Application (Comparison) September 2023 [Dataset]. https://catalog.data.gov/dataset/sra-fhsz-rollout-application-comparison-september-2023-a8f5a
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    CAL FIRE
    Description

    Pursuant to Public Resource Code 4202, The State Fire Marshal shall classify lands within State Responsibility Areas into fire hazard severity zones. Each zone shall embrace relatively homogeneous lands and shall be based on fuel loading, slope, fire weather, and other relevant factors present, including areas where winds have been identified by the department as a major cause of wildfire spread.Per Government Code 51178, The State Fire Marshal shall identify areas in the state as moderate, high, and very high fire hazard severity zones based on consistent statewide criteria and based on the severity of fire hazard that is expected to prevail in those areas. Moderate, high, and very high fire hazard severity zones shall be based on fuel loading, slope, fire weather, and other relevant factors including areas where winds have been identified by the Office of the State Fire Marshal as a major cause of wildfire spread.This application presents fire hazard severity zones as submitted September 29, 2023, for review. It also contains the fire hazard severity zones released on June 15, 2023. A swipe tool is on by default to highlight changes.

  14. O

    CT Land Cover Viewer

    • data.ct.gov
    application/rdfxml +5
    Updated Jun 8, 2023
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    UConn (2023). CT Land Cover Viewer [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/CT-Land-Cover-Viewer/b7c8-vb26
    Explore at:
    json, csv, tsv, application/rssxml, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    UConn
    Area covered
    Connecticut
    Description
    This viewer is available on CT ECO from UConn CLEAR. The viewer contains Connecticut's statewide land cover in an easy-to-explore tool.
    Description
    The Connecticut Land Cover Viewer contains seven dates of land cover, between 1985 and 2015 including change to and change from layers. These layers are in the bottom half of the layer list and start with a year, such as 1985 Land Cover.

    For each major land cover class (forest, ag field, developed, turf & grass) there are summary stats by town shown as layers in the viewer with color ramps. The darker the color, the higher the presence. Summary stats include change by town as well, where more change is shown with darker colors. These layers are in the top half of the viewer.

    The viewer also contains forest fragmentation layers from 1985 and 2015.

    More about land cover on the CLEAR website, including Number and Charts data visualizations.

    Use
    To use the viewer, use the Layer List (upper right) to turn on and off layers (remember to turn OFF the ones above on the list or they will hide layers below) to compare and explore the area. The swipe tool (lower left) is a fun way to compare two datasets. Be sure at least two items are checked on in the layer list and use the swipe tool to compare. Refer to Viewer Help for more details and tips.

    Tips
    - compare dates of land cover by turning them on and off in the layer list, or using they swipe tool
    - for any year of land cover (the layers are called 1985 Land Cover, 1990 Land Cover, etc.), click on the little arrow to the left in the table of contents to see layers that show just main land cover classes. This is a good way to explore just forest land cover or just developed land cover - you get the point!
    - land cover from satellite imagery at this resolution can look "fuzzy" compared to high resolution datasets. It is coarse but is an excellent, and perhaps the only way, to look at change over 30 years.
    - visit the Land Cover FAQs for more information.

  15. c

    CT Elevation Viewer v2

    • geodata.ct.gov
    Updated Apr 1, 2025
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    CT ECO (2025). CT Elevation Viewer v2 [Dataset]. https://geodata.ct.gov/datasets/CTECO::ct-elevation-viewer-v2
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    CT ECO
    Area covered
    Connecticut
    Description

    This viewer is available through CT ECO, a partnership between CT DEEP and UConn CLEAR. DescriptionThe Elevation Viewer contains statewide bare earth elevation. The elevation layers are pixels derived from a Lidar point cloud. The Hillshade, Shaded Relief, Slope, and Aspect are all part of the viewer and are different ways of viewing the bare earth elevation. The Viewer also contains contours, older elevation layers, and reference layers like parcels, aerial imagery, watersheds, and impervious surface. All about elevation on CT ECOLidar FAQ UseTo use the viewer, zoom in and then use the Layer List (upper right) to turn on and off layers (remember to turn OFF the ones above on the list or they will hide layers below) to compare and explore the area. The swipe tool (lower left) is a fun way to compare two datasets, especially aerial imagery with an elevation layer like hillshade or slope. Be sure at least two items are checked on in the layer list and use the swipe tool to compare. Refer to Viewer Help for more details and tips. Tipslidar points can reach the ground through tree canopy and exceptional at "seeing" features like stone walls that are not easily visible on aerial imagery"dynamic color" services means that the full range of colors is always displayed no matter what the viewing extentlidar points can also be used to create surfaces, which are different from bare earth elevation shown in the Elevation ViewerCT ECO has a 3D Lidar Point Viewer that contains points that have been colored based on summertime aerial imagery

  16. NLCD Land Cover Explorer

    • sal-urichmond.hub.arcgis.com
    Updated Jul 1, 2025
    + more versions
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    Esri (2025). NLCD Land Cover Explorer [Dataset]. https://sal-urichmond.hub.arcgis.com/datasets/esri::nlcd-land-cover-explorer
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    About the dataLand use land cover (LULC) maps are an increasingly important tool for decision-makers in many industry sectors and developing nations around the world. The information provided by these maps helps inform policy and land management decisions by better understanding and quantifying the impacts of earth processes and human activity.The Annual NLCD product is available courtesy of the USGS. The data is a confluence of methodologies from past land cover projects together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. About the appOne of the foremost capabilities of this app is dynamic change analysis. The app provides dynamic visual and statistical change by comparing annual slices of the NLCD Land Cover data as you explore the map.Overview of capabilities:Visual change analysis with either ‘Animate Mode" or "Swipe Mode"Dynamic statistical change analysis by year, map extent, and classFilter by selected land cover classImagery mode for visual investigation and validation of land coverSelect imagery renderings (e.g. SWIR to visualize forest burn scars)

  17. a

    Geologic Map of Minnesota - Bedrock Geology

    • mngs-umn.opendata.arcgis.com
    Updated Jul 19, 2017
    + more versions
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    University of Minnesota (2017). Geologic Map of Minnesota - Bedrock Geology [Dataset]. https://mngs-umn.opendata.arcgis.com/datasets/geologic-map-of-minnesota-bedrock-geology
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    Dataset updated
    Jul 19, 2017
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    This map is a new construct that incorporates existing geologic maps where prior mappers had adequate ground control, and new interpretations based on drill hole, geophysical, and unpublished data where they did not. The interpretation differs significantly from previous maps to reflect new data and accommodate scale. It portrays our current geologic understanding of the temporal and geographic distribution of units within major Precambrian terranes and of the Phanerozoic strata. The western part of the mapped Precambrian terrane is inferred largely from geophysical maps, anchored locally by drilling. In many places, contacts are drawn between units of the same or similar apparent rock type (and same unit label); these are recognized as geometrically distinct, though geophysically or lithologically similar. Digital files corresponding to this map allow removal of Cretaceous, Paleozoic, and some parts of Mesoproterozoic strata to reveal an interpretation of the underlying Precambrian bedrock.The swipe tool displays S-22, Geologic Map of Minnesota, Precambrian Bedrock Geology. It portrays an interpretation beneath Phanerozoic (Paleozoic and Mesozoic) strata inferred from geophysical maps and drill core. Bedrock map includes faults, form lines inferrred from geophysical data, dike locations and types, and geologic interpretations based on geophysics of the area of Minnesota that extends into Lake Superior.

  18. g

    Land Use and Development

    • geoportal.gov.mb.ca
    Updated Dec 9, 2023
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    Manitoba Maps (2023). Land Use and Development [Dataset]. https://geoportal.gov.mb.ca/datasets/land-use-and-development
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    Dataset updated
    Dec 9, 2023
    Dataset authored and provided by
    Manitoba Maps
    Area covered
    Description

    Key Features:Perform detailed planning analysesThe Buffer Property tool finds a property and list all properties that are within a given buffer distance around it. Users can download the list as a csv. The Planning Analysis widget finds all Development Plan Designation, Zoning Bylaw and Property Assessment features underlying a given point, line or polygon. Users can download the list as a csv.Easily swipe between designated areas and zoning boundaries to reference against each other.Data UtilizationDisplay, search, select, and derive attributes for property parcels, zoning and designations.Map ExportExport simple maps of specific areas for further use.Elevation profiles note: Users can generate elevation profiles based on user input using Esri-curated elevation data. Note that the level of detail and accuracy may vary by location.This application is designed to facilitate detailed and efficient land use and development planning.

  19. a

    Montréal 375 - Explore in 2D

    • edu.hub.arcgis.com
    Updated Aug 2, 2017
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    Education and Research (2017). Montréal 375 - Explore in 2D [Dataset]. https://edu.hub.arcgis.com/maps/88428f152b9d45a5936dfdf1199c32e9
    Explore at:
    Dataset updated
    Aug 2, 2017
    Dataset authored and provided by
    Education and Research
    License

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

    Area covered
    Description

    Please view this Web map through the main Montréal 375 app found at https://ecce.esri.ca/montreal375 (tab #3). The Web map contains four scanned historical atlases of Montréal, as well as Esri's World Topographic Basemap. The Montréal 375 app allows you to compare any two of these five layers simultaneously using a Swipe or Spyglass tool.

  20. a

    Historical Maps App

    • applications-mclio.hub.arcgis.com
    Updated Feb 28, 2019
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    Milwaukee County GIS & Land Information (2019). Historical Maps App [Dataset]. https://applications-mclio.hub.arcgis.com/datasets/historical-maps-app
    Explore at:
    Dataset updated
    Feb 28, 2019
    Dataset authored and provided by
    Milwaukee County GIS & Land Information
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Mapping application that features several historical georeferenced maps that cover parts of Milwaukee County. Historical map imagery includes: 1876 Plat Map 1894 Sanborn Fire Insurance Map 1898 Baist's Property Atlas Wisconsin Historical Society 1910 Sanborn Fire Insurance Map1927 Sanborn Fire Insurance Map The application includes a tool that allows the user to swipe between the historical map imagery and a current basemap. Map imagery was provided by the University of Wisconsin Milwaukee American Geographical Society Library (unless otherwise noted) and georeferenced by MCLIO staff.

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FEMA AGOL (2017). NOAA Imagery Swipe Tool - Maria [Dataset]. https://gis-fema.hub.arcgis.com/datasets/FEMA::noaa-imagery-swipe-tool-maria-/about

NOAA Imagery Swipe Tool - Maria

Explore at:
Dataset updated
Sep 25, 2017
Dataset authored and provided by
FEMA AGOL
Area covered
Description

This imagery was acquired by the NOAA Remote Sensing Division to support NOAA homeland security and emergency response requirements. In addition, it will be used for ongoing research efforts for testing and developing standards for airborne digital imagery. Individual images have been combined into a larger mosaic and tiled for distribution. The approximate ground sample distance (GSD) for each pixel is ~25 cm / zoom level 19.

https://storms.ngs.noaa.gov/storms/maria/index.html

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