42 datasets found
  1. a

    2019 Crowdsourced Photos Public Feature Layer View

    • hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +2more
    Updated Jul 11, 2019
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    NAPSG Foundation (2019). 2019 Crowdsourced Photos Public Feature Layer View [Dataset]. https://hub.arcgis.com/maps/napsg::2019-crowdsourced-photos-public-feature-layer-view
    Explore at:
    Dataset updated
    Jul 11, 2019
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Description

    Purpose: This is the 2019 Hurricanes Crowdsourced Photos Public Feature Layer View. This is a live publicly accessible layer for the Crowdsource Story Map accessible here: This layer cannot be edited, it is view only. ShareHidden Field: 0 = Needs Review, 1 = Already Reviewed, 2 = Hidden (not available in this public view).Audience: GIS Staff and Technologists who would like to add this layer to their own web maps and apps. If you need access to this layer in other formats, see the Open Data link. Please send us an email at triage@publicsafetygis.org to tell us if you are going to use this layer and if you have any questions or need assistance with this layer.Need to download the photos? See this technical support article.

  2. Data from: Sargassum Dataset

    • figshare.com
    rar
    Updated Feb 2, 2021
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    Javier Arellano-Verdejo; Hugo E. Lazcano-Hernandez (2021). Sargassum Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.13256174.v5
    Explore at:
    rarAvailable download formats
    Dataset updated
    Feb 2, 2021
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Javier Arellano-Verdejo; Hugo E. Lazcano-Hernandez
    License

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

    Description

    Neural Network training dataset for classification of Images with presence and absence of sargassum

  3. Crowdsource resource availability using ArcGIS Hub

    • coronavirus-resources.esri.com
    Updated May 4, 2020
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    Esri’s Disaster Response Program (2020). Crowdsource resource availability using ArcGIS Hub [Dataset]. https://coronavirus-resources.esri.com/documents/49ca8e9120ea43d8ad21441f39646f89
    Explore at:
    Dataset updated
    May 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    The new ArcGIS Hub Grocery Store Inventory template provides you with a framework for crowdsourcing data about resources and services in your community.This template was originally adapted from an initiative started in Cobb County, Georgia. Now, any organization can use it to quickly launch a pre-designed, mobile-responsive website that features a survey for generating anonymous feedback from the public on the availability of products and conditions at local shopping centers._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  4. n

    Public Information Survey Form - NAPSG Tutorial

    • prep-response-portal.napsgfoundation.org
    Updated Nov 7, 2019
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    NAPSG Foundation (2019). Public Information Survey Form - NAPSG Tutorial [Dataset]. https://prep-response-portal.napsgfoundation.org/documents/napsg::public-information-survey-form-napsg-tutorial/about
    Explore at:
    Dataset updated
    Nov 7, 2019
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Description

    Crowdsourcing is a way to obtain information from the public by enlisting the services of the general public or volunteers via the Internet. This can be a valuable source of information during a disaster if it is done in a way that answers important questions, for instance:

    • Where are roads obstructed by standing water?

    • What homes have individuals that need assistance evacuating?

    • Where are debris that needs to be removed?

    Tutorial Audience: GIS / Technology SpecialistsEnd User Audience: Emergency Management Planning and Operations Staff

    Problem: The emergency management agency has requested that you prepare a crowdsourcing solution in advance of the next disaster. The data collected must be structured in a way so that it is informative and actionable for decision makers. Your crowdsourcing app should be:

    • Fast and easy to use for the Public.

    • The database behind it should contain structured information that answers specific questions for emergency managers (e.g. Where are the hazards? How severe is it? Where should we focus our resources?).

    • Allows for submitting attachments such as photos.

    Solution: Survey123 Web FormRequirements: You will need a license for ArcGIS Online to complete this tutorial.Note: This tutorial works with the Public Information Application Tutorial.

  5. a

    Focus Area Crowdsourcing

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 30, 2018
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    City of Hoboken (2018). Focus Area Crowdsourcing [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/b6a06b717e5c4ccbb1a60a16e3840254
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    Dataset updated
    Aug 30, 2018
    Dataset authored and provided by
    City of Hoboken
    Area covered
    Description

    Test Case for Crowdsourcing

  6. a

    Community Contact Information Crowdsourcing

    • data-englewoodgov.opendata.arcgis.com
    Updated Oct 10, 2019
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    City of Englewood (2019). Community Contact Information Crowdsourcing [Dataset]. https://data-englewoodgov.opendata.arcgis.com/datasets/community-contact-information-crowdsourcing
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    Dataset updated
    Oct 10, 2019
    Dataset authored and provided by
    City of Englewood
    Description

    Address Crowdsourcing is a configuration of GeoForm that can be used by the general public, or stakeholders within government agencies, to contribute missing site addresses.Learn more

  7. a

    2018 Hurricanes Crowdsourced Photos Public View

    • hub.arcgis.com
    • dorian-disasterresponse.opendata.arcgis.com
    Updated Sep 10, 2018
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    NAPSG Foundation (2018). 2018 Hurricanes Crowdsourced Photos Public View [Dataset]. https://hub.arcgis.com/datasets/napsg::2018-hurricanes-crowdsourced-photos-public-view/about
    Explore at:
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Description

    Purpose: This is the 2018 Hurricanes Crowdsourced Photos Public Feature Layer View. This is a live publicly accessible layer for the Crowdsource Story Map accessible here: This layer cannot be edited, it is view only. ShareHidden Field: 0 = Needs Review, 1 = Already Reviewed, 2 = Hidden (not available in this public view).Audience: GIS Staff and Technologists who would like to add this layer to their own web maps and apps. If you need access to this layer in other formats, see the Open Data link. Please send us an email at admin@publicsafetygis.org to tell us if you are going to use this layer and if you have any questions or need assistance with this layer.Need to download the photos? See this technical support article.

  8. g

    Crowdsourced Grocery Store Reports

    • covid-hub.gio.georgia.gov
    Updated Mar 19, 2020
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    htorpey (2020). Crowdsourced Grocery Store Reports [Dataset]. https://covid-hub.gio.georgia.gov/items/1544144ccd6e4d4a8db71a8c74cc18b1
    Explore at:
    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    htorpey
    License

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

    Description

    This dashboard and its mobile version are embedded in this Experience: https://htorpey.maps.arcgis.com/home/item.html?id=91aec4e72f0f4c7e9a11a4f1aca25928This is a dashboard that displays information aggregated from grocery store reports submitted anonymously by members of the public. Sharing grocery shopping experiences can help community members make smarter choices about when and where to shop during the COVID-19 pandemic based on product availability, shopper behavior, and store precautions and services. Knowing this information in advance helps people reduce the number of trips they make, thus limiting their exposure to other shoppers.Grocery store reports are submitted via this Survey123 form: https://arcg.is/0j48rnThere is a mobile version of the dashboard here: https://htorpey.maps.arcgis.com/home/item.html?id=93094fca9b4244d4ad67a95041e52b2dThere is also a mobile-friendly application using the Nearby configurable app available here: https://htorpey.maps.arcgis.com/apps/Nearby/index.html?appid=294878ea4a754055ba25c449499b70e1

  9. D

    Crowdsourced Pothole Reporting Platforms Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Crowdsourced Pothole Reporting Platforms Market Research Report 2033 [Dataset]. https://dataintelo.com/report/crowdsourced-pothole-reporting-platforms-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Crowdsourced Pothole Reporting Platforms Market Outlook



    According to our latest research, the global crowdsourced pothole reporting platforms market size reached USD 2.13 billion in 2024, demonstrating a robust expansion trajectory. The market is expected to grow at a CAGR of 15.8% from 2025 to 2033, propelling the overall market value to USD 6.58 billion by 2033. This impressive growth is primarily driven by the increasing adoption of digital solutions for urban infrastructure management, growing emphasis on road safety, and the integration of advanced technologies such as AI and IoT into road maintenance systems.




    The primary growth factor fueling the crowdsourced pothole reporting platforms market is the rapid urbanization and the resulting strain on road infrastructure worldwide. As cities expand and populations increase, the frequency of road wear and tear, particularly potholes, has surged. Municipalities and transportation authorities are under mounting pressure to maintain road quality and ensure commuter safety. Crowdsourced platforms provide a scalable and cost-effective solution by enabling citizens to report potholes in real time, thus accelerating response times and reducing maintenance costs. Furthermore, these platforms foster community engagement and civic participation, which aligns with the growing trend of smart city initiatives globally.




    Another significant factor contributing to market expansion is the technological evolution in mobile and web-based applications. The proliferation of smartphones, combined with advancements in GPS, mapping, and data analytics, has revolutionized how road defects are identified and reported. Modern platforms leverage machine learning algorithms to validate and prioritize reports, ensuring that critical issues are addressed promptly. Additionally, the integration of these platforms with municipal asset management systems and geographic information systems (GIS) enhances operational efficiency. The ability to aggregate and analyze large volumes of data provides valuable insights for predictive maintenance and resource allocation, further driving the adoption of crowdsourced pothole reporting solutions.




    The market is also benefiting from increased governmental focus on road safety and infrastructure modernization. Regulatory mandates and funding initiatives aimed at reducing road accidents and improving transportation networks are encouraging the deployment of digital reporting tools. Many governments are partnering with private technology providers to implement comprehensive road monitoring systems, which include crowdsourced reporting as a core component. The growing collaboration between public and private sectors is fostering innovation and accelerating the development of user-friendly, feature-rich platforms. Moreover, increased public awareness about the importance of road safety is leading to higher participation rates, thereby amplifying the effectiveness of these platforms.




    From a regional perspective, North America currently dominates the crowdsourced pothole reporting platforms market, owing to its advanced digital infrastructure, high smartphone penetration, and proactive government initiatives. Europe follows closely, driven by stringent road safety regulations and extensive smart city projects. The Asia Pacific region is witnessing the fastest growth, propelled by rapid urbanization, infrastructure investments, and the increasing adoption of mobile technologies. Latin America and the Middle East & Africa are also emerging as promising markets, supported by rising government focus on urban mobility and the gradual digital transformation of municipal services. Collectively, these regional dynamics underscore the global relevance and growth potential of the market.



    Component Analysis



    The component segment of the crowdsourced pothole reporting platforms market is bifurcated into software and services, each playing a pivotal role in the overall ecosystem. The software segment encompasses mobile applications, web-based platforms, and integrated systems that facilitate the reporting, aggregation, and management of pothole data. These software solutions are designed to be intuitive, user-friendly, and compatible with multiple devices, ensuring broad accessibility for both citizens and municipal staff. They often include features such as real-time notifications, photo and video uploads, geotagging, and integration with mapping services. The continuo

  10. Yandex.Maps Dataset for Pix2PixHD

    • kaggle.com
    zip
    Updated Mar 29, 2022
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    Valeriy Lobanov (2022). Yandex.Maps Dataset for Pix2PixHD [Dataset]. https://www.kaggle.com/datasets/valeriyl/yandex-maps-for-pix2pixhd
    Explore at:
    zip(1488572950 bytes)Available download formats
    Dataset updated
    Mar 29, 2022
    Authors
    Valeriy Lobanov
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset was obtained using web crowdsourcing GIS-service of Yandex Maps, with custom written web-scrapper. the main advantages of this dataset are the high quality of the images and the focus on russian cities. This dataset is the only* image dataset to address the img2img task for Commonwealth of Independent States (CIS) areas (* as of Spring 2022). It can be used for Nvidia Pix2PixHD architecture not only for Russian areas, but also for Ukrain, Belarus, Kazakhstan and etc. due to strong resemblace of the landscape from aerial view.

  11. d

    Leesburg, Virginia Area Parks

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Sep 6, 2024
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    Loudoun County GIS (2024). Leesburg, Virginia Area Parks [Dataset]. https://catalog.data.gov/dataset/leesburg-virginia-area-parks-5214f
    Explore at:
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    Loudoun County GIS
    Area covered
    Leesburg, Virginia
    Description

    This map provides the location of both park amenities and trail networks for parks in and around Leesburg, Virginia. The parks vary in size, from the 1/2 acre Catoctin Skate Park to the 138 acre Ida Lee Park. They are all open to the public from dawn to dusk. The amenity information shown was collected during a crowdsourcing effort between AOL staff and Loudoun County Office of Mapping & Geographic Information in May 2015 and individual Mapping & Geographic Information and Parks and Recreation staff in October 2015. Crowdsourcing involves groups of volunteers collecting data and information & was specifically undertaken on AOL's Monster Help Day, which is a world-wide event that encourages volenteerism. This was the third collaboration between AOL staff and Office of Mapping & Geographic Information to collect park amenity information in Loudoun County, which occurred in both early 2013 and 2014 on previous AOL Monster Help Days. The parks shown are administered by the Town of Leesburg, Loudoun County Parks and Recreation, and Northern Virginia Regional Park Authority.

  12. n

    2021 PhotoMappers Data

    • prep-response-portal.napsgfoundation.org
    • hub.arcgis.com
    • +2more
    Updated Jul 4, 2021
    + more versions
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    NAPSG Foundation (2021). 2021 PhotoMappers Data [Dataset]. https://prep-response-portal.napsgfoundation.org/maps/cd2593d0a2f84b0e957c21682d454fe2
    Explore at:
    Dataset updated
    Jul 4, 2021
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Earth
    Description

    This feature service view layer contains photos collected during the 2021 season. For more information, please visit the PhotoMappers Hub site.

  13. Z

    Data from: Volunteer classifications of images from the Cropland Capture...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 7, 2022
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    Sturn, Tobias; Fritz, Steffen; McCallum, Ian; See, Linda; Salk, Carl (2022). Volunteer classifications of images from the Cropland Capture game [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5986720
    Explore at:
    Dataset updated
    Feb 7, 2022
    Dataset provided by
    International Institute for Applied Systems Analysis
    Swedish University of Agricultural Sciences
    Authors
    Sturn, Tobias; Fritz, Steffen; McCallum, Ian; See, Linda; Salk, Carl
    License

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

    Description

    Each entry represents a single classification of a single image by a volunteer rater.

    The dataset contains six columns:

    imgid: The unique identifier for each image used in the Cropland Capture campaign userid: The unique identifier for each volunteer in the Cropland Capture campaign rating: The answer provided; can be only one of the following: 1: yes cropland 2: no cropland 0: maybe date: Timestamp of the rating ratingid: The unique identifier of the rating (this is different for each data row) platform: What interface did the volunteer use to provide this rating? 1: iPhone5 2: iPhone, other models 3: iPad 4: Browser >100: Android; different numbers indicate the screen size in pixels

    For more information, please see the following publications:

    Salk, CF, T Sturn, L See, S Fritz (2017). Limitations of majority agreement in crowdsourced image interpretation. Transactions in GIS, 21: 207–223.

    Salk, CF, T Sturn, L See, S Fritz (2016). Local knowledge and professional background have a minimal impact on volunteer citizen science performance in a land-cover classification task. Remote Sensing, 8: 744.

    Salk, CF, T Sturn, L See, S Fritz and C Perger (2016). Assessing quality of volunteer crowdsourcing contributions: Lessons from the Cropland Capture game. International Journal of Digital Earth, 9(4): 410-426.

  14. a

    PhotoMappers Disasters Crowdsourced Photos Web Map for Legacy Dashboard

    • napsg.hub.arcgis.com
    Updated Jan 8, 2020
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    NAPSG Foundation (2020). PhotoMappers Disasters Crowdsourced Photos Web Map for Legacy Dashboard [Dataset]. https://napsg.hub.arcgis.com/maps/c9f4172f06344cc2b59576b186b200a7
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    Dataset updated
    Jan 8, 2020
    Dataset authored and provided by
    NAPSG Foundation
    Area covered
    Description

    DescriptionThis is the web map that is displayed in the 2020 Disaster Crowdsource Photo Public Dashboard. Volunteers from NAPSG and GISCorps and the public upload photos found on social media and news outlets to provide situational awareness of on-the-ground conditions before, during, and after disasters. Photo Upload FormPhotos can be uploaded directly to the map using this Survey123 form: https://arcg.is/1TyKPD0DataThe publicly accessible point layer can be found here: https://services.arcgis.com/0ZRg6WRC7mxSLyKX/arcgis/rest/services/survey123_85163dd9335b4c518e3006e60389cfdd_stakeholder/FeatureServer

  15. w

    Global Leading Digital MAP Service Market Research Report: By Application...

    • wiseguyreports.com
    Updated Oct 15, 2025
    + more versions
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    (2025). Global Leading Digital MAP Service Market Research Report: By Application (Navigation, Fleet Management, Location-Based Services, Geofencing, Traffic Management), By Technology (Satellite Navigation, Geographic Information System, Augmented Reality Mapping, 3D Mapping, Crowdsourced Mapping), By End User (Automotive, Telecommunications, Retail, Transportation and Logistics, Government), By Deployment Model (Cloud-Based, On-Premises, Hybrid) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/leading-digital-map-service-market
    Explore at:
    Dataset updated
    Oct 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    North America, Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202413.5(USD Billion)
    MARKET SIZE 202514.3(USD Billion)
    MARKET SIZE 203525.0(USD Billion)
    SEGMENTS COVEREDApplication, Technology, End User, Deployment Model, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSRapid technological advancements, Increasing demand for navigation services, Integration with IoT devices, Growing emphasis on geospatial data analysis, Rise in smartphone penetration
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDMappy, Cyclomedia, Google, Microsoft, Trimble, Navinfo, TomTom, Mapbox, HERE Technologies, OpenStreetMap, Foursquare, Yelp, Apple, MapQuest, Waze, Esri
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIntegration with IoT devices, Growth in autonomous vehicles, Expansion of smart city initiatives, Rising demand for location-based services, Enhanced GIS applications and analytics
    COMPOUND ANNUAL GROWTH RATE (CAGR) 5.8% (2025 - 2035)
  16. a

    Social Media Crowdsourced Recreation - Facebook Check-Ins

    • new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com
    • opdgig.dos.ny.gov
    Updated Sep 28, 2017
    + more versions
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    New York State Department of State (2017). Social Media Crowdsourced Recreation - Facebook Check-Ins [Dataset]. https://new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com/maps/NYSDOS::social-media-crowdsourced-recreation-facebook-check-ins/about
    Explore at:
    Dataset updated
    Sep 28, 2017
    Dataset authored and provided by
    New York State Department of State
    Area covered
    Description

    This dataset represents point locations for various recreation sites within the state of New York symbolized by total number of new Facebook check-ins. This dataset is used to understand the value of New York recreational sites using social media crowdsource information to be used in planning activities. Other information is available on number of Facebook likes, new posts, and rating.View Dataset on the Gateway

  17. a

    SC Waterway Incidents

    • scdes-gis-hub-sc-dhec.hub.arcgis.com
    • hub.arcgis.com
    Updated Feb 11, 2019
    + more versions
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    State of South Carolina Health and Environment Control (2019). SC Waterway Incidents [Dataset]. https://scdes-gis-hub-sc-dhec.hub.arcgis.com/datasets/sc-waterway-incidents
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    Dataset updated
    Feb 11, 2019
    Dataset authored and provided by
    State of South Carolina Health and Environment Control
    Area covered
    Description

    SC Waterway Incident Reporter

  18. a

    surveyPoint

    • 2020-crowdsourced-disaster-photos-napsg.hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +4more
    Updated Jul 4, 2021
    + more versions
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    NAPSG Foundation (2021). surveyPoint [Dataset]. https://2020-crowdsourced-disaster-photos-napsg.hub.arcgis.com/datasets/surveypoint-2
    Explore at:
    Dataset updated
    Jul 4, 2021
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Earth
    Description

    This feature service view layer contains photos collected during the 2021 season. For more information, please visit the PhotoMappers Hub site.

  19. a

    surveyPoint

    • 2020-crowdsourced-disaster-photos-napsg.hub.arcgis.com
    Updated Aug 22, 2020
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    NAPSG Foundation (2020). surveyPoint [Dataset]. https://2020-crowdsourced-disaster-photos-napsg.hub.arcgis.com/datasets/surveypoint-15
    Explore at:
    Dataset updated
    Aug 22, 2020
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Earth
    Description

    Purpose: This feature service view layer contains photos collected for the current or most recent incident. For more data, apps, and information, please visit the PhotoMappers Hub site. For photos collected in the previous year prior to the current incident, please see the PhotoMappers Previous 12 Months feature service view.This layer cannot be edited, it is view only. All photos are geolocated and uploaded by GISCorps volunteers and reviewed and vetted by the GISCorps Admin Team.Audience: GIS Staff and Technologists who would like to add this layer to their own web maps and apps. If you need access to this layer in other formats, see the Open Data link (coming soon). Please send us an email at triage@publicsafetygis.org to tell us if you are going to use this layer and if you have any questions or need assistance with this layer.Need to download the photos? See this technical support article.

  20. a

    PhotoMappers Crowdsourced Disaster Photos - Damage View e472a

    • napsg.hub.arcgis.com
    Updated Apr 28, 2020
    + more versions
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    NAPSG Foundation (2020). PhotoMappers Crowdsourced Disaster Photos - Damage View e472a [Dataset]. https://napsg.hub.arcgis.com/maps/8ee1ef34d7ff43448f160af7cb1e472a
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    Dataset updated
    Apr 28, 2020
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Earth
    Description

    Purpose: This is the 2020 Disaster Crowdsource Photo Survey Public Feature Layer View showing potential scale of damage. This is not an official damage assessment. Relative scale of damage is estimated by volunteers based on view of photo uploaded. This is a live publicly accessible layer for the Crowdsource Photo App accessible here: https://arcg.is/1KuCH5 This layer cannot be edited, it is view only. Moderators on the GISCorps review submissions from the public and GISCorps volunteers using the "Vetted" field.Audience: GIS Staff and Technologists who would like to add this layer to their own web maps and apps. If you need access to this layer in other formats, see the Open Data link (coming soon). Please send us an email at triage@publicsafetygis.org to tell us if you are going to use this layer and if you have any questions or need assistance with this layer.Need to download the photos? See this technical support article.

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NAPSG Foundation (2019). 2019 Crowdsourced Photos Public Feature Layer View [Dataset]. https://hub.arcgis.com/maps/napsg::2019-crowdsourced-photos-public-feature-layer-view

2019 Crowdsourced Photos Public Feature Layer View

Explore at:
Dataset updated
Jul 11, 2019
Dataset authored and provided by
NAPSG Foundation
License

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

Area covered
Description

Purpose: This is the 2019 Hurricanes Crowdsourced Photos Public Feature Layer View. This is a live publicly accessible layer for the Crowdsource Story Map accessible here: This layer cannot be edited, it is view only. ShareHidden Field: 0 = Needs Review, 1 = Already Reviewed, 2 = Hidden (not available in this public view).Audience: GIS Staff and Technologists who would like to add this layer to their own web maps and apps. If you need access to this layer in other formats, see the Open Data link. Please send us an email at triage@publicsafetygis.org to tell us if you are going to use this layer and if you have any questions or need assistance with this layer.Need to download the photos? See this technical support article.

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