The EPA Office of Water’s Watershed Assessment, Tracking and Environmental Results system (WATERS) integrates water-related information by linking it to the NHDPlus stream network. The National Hydrgraphy Dataset Plus (NHDPlus) provides the underlying geospatial hydrologic framework that supports a variety of network-based capabilities including upstream/downstream search and watershed delineation. The WATERS GeoViewer provides easy access to these data and capabilities via the Internet on any desktop or mobile device. It implements the concepts and principles of the Open Water Data Initiative, including the hydrologic Network Linked Data Index.

The ESRI GEO Viewer provides fuses web services and information feeds into a single operating picture. The viewer also supports accessing geoprocessing services to perform spatial analyses on the web, supports data discovery and access from GEO clearinghouses, and support collaboration through integration with Twitter.

Welcome to the NMFS NOAA Map Viewer. This is a quick navigation. In the toolbar, you see the options to: • View Legend • Identify • Print Map • Add Layers • Change Basemap • Measure and Find Map Coordinate • Share Map • Find Location The Legend tool allows you to toggle through available layers of a map set (root layer). Within this, you can right click on a map set be able to zoom to the entire map set extent. If you right click on individual layer, you will be able to: • Zoom to Layer • Export Data • Export Metadata The Identify tool allows you to click on the map and see the results at that location of any visible layer. If multiple layers are visible, the popup result window will have a toggle option to see the other results. The Print Map tool gives you various options to export the map to a new window for printing. The Add Layers tool allows you to add or remove layers or remove layers from the map. Change Basemap gives you the option to change the base maps on the map. The Measure tool will provide you with tool to determine the area, distance or location (coordinates) on the map. Share tool will provide options to share by email, facebook, or twitter. Find Location tool give you the ability to type in a city, address or standard location to zoom map at that location.

Geomatics Yukon is pleased to introduce GeoYukon - a new interactive viewer to access Yukon government's most up-to-date and comprehensive collection of spatial data including imagery. GeoYukon allows you to view, search, extract and download Yukon spatial data and related metadata.

This web map references the live tiled map service from the OpenStreetMap (OSM) project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: https://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in ESRI products under a Creative Commons Attribution-ShareAlike license. Tip: This service is one of the basemaps used in the ArcGIS.com map viewer. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10. Tip: Here are some well known locations as they appear in this web map, accessed by launching the web map with a URL that contains location parameters: Athens, Cairo, Jakarta, Moscow, Mumbai, Nairobi, Paris, Rio De Janeiro, Shanghai

A map used in the Stop Viewer app to view stops and their adoption status.

In DSCOVR_EPIC_L2_composite_02, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. Based on the CERES cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). Cloud properties from these LEO/GEO imagers are optimally merged to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the EPIC observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC FOV by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted radiances and cloud properties averages are computed separately for each cloud phase. Ancillary data (i.e., surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).

JK-TK/Geo dataset hosted on Hugging Face and contributed by the HF Datasets community

Teacher Guidelines for the "Parking Issue" assessment activityThese guidelines have additional information about the assessment activity to help youguide your students through the assessment, mark the assessment.These guidelines are designed to ensure that teachers can carry out valid and consistent assessment using this internal assessment resource.Teachers need to be very familiar with the outcome being assessed by Achievement Standard Geography 91433.

Grala, K., Nagel, A., & Cartwright, J. H. (2024). GEO Tutorial: Unlock a Hidden Potential of Arcade Expressions in ArcGIS Online Map Viewer. Mississippi State University: Geosystems Research Institute. [View Document]GEO TutorialNumber of Pages:10Publication Date: 05/2024This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

MG-Geo DatasetTowards Interactive Global Geolocation Assistant 🤖

MG-Geo is a novel multimodal dataset comprising 5 million meticulously curated image-text pairs, specifically designed to address the existing limitations in geography-related data for Multimodal Large Language Models (MLLMs).

  Dataset Highlights 🌟

Large Scale: Contains 5,000,000 high-quality image-text pairs. Geography Focused: Specially designed to capture the complex interplay between geographic… See the full description on the dataset page: https://huggingface.co/datasets/kendouvg/MG-Geo.

The Surface Water Data Viewer (SWDV) is a Wisconsin DNR data delivery system that provides interactive web mapping tools for a wide variety of datasets including chemistry (water, sediment), physical, and biological (macroinvertebrate and fish) data.

An ArcGIS Media Map app used by the general public to view stops and their adoption status.

latterworks/geo-metadata dataset hosted on Hugging Face and contributed by the HF Datasets community

GIS Map view look up parcel information including owner, taxes, market value and more.Important Mailing Label Information:The "Mailing Labels" button is is copy of the Parcels Layer and is intended to be turned OFF on the map, and is there just for the "Public Notification" Widget. This widget obtains information on the pop-up of a selected layer to create "Mailing Labels." This said, this layer contains the Owners Mailing Address information. Below is Arcaded used to customize the pop-up:Made three custom Arcade Lines below: Proper($feature["OWNER_NAM1"]) + Proper($feature["OWNER_NAM2"])Proper($feature["OWNER_ADDR"])Proper($feature["OWNER_CITY"]) + ',' + $feature["OWNER_STAT"] + ',' + $feature["OWNER_ZIP"]Below is the custom pop-up:{expression/expr0}{expression/expr1}{expression/expr2}

This website enables discovering GEO resources through the GEO DAB and then viewing and sharing those through ArcGIS Online.

BGR public data holdings for a very wide range of geodata. The info (i) for every map contains a link to the Produktcenter, where the relevant geodata are available for download.

The offered map data cover whole Germany and are generalized for different scale intervals between 1:200 000 and 1:5 000 000. Thus some map services are displayed only for fixed scale ranges depending on data sources and disciplines. The following themes are covered by the BGR GEoviewer: -Boundaries and Places of the world: this map presents country boundaries; -Soil map of Germany -General geological map of Germany -German earthquake catalogue -International hydrogeological map of Europe -PanGeo ground stability layers of Berlin and Hanover -Map of mining and storage operations of Germany

Website: http://www.bgr.bund.de/EN/Themen/Geodatenmanagement/Geoviewer/geoviewer_node_en.html

Town of Somerset, MA GIS Viewer

The "EMODnet Digital Bathymetry (DTM)- 2022" is a multilayer bathymetric product for Europe’s sea basins covering: • the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland • the English Channel and Celtic Seas
• Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea • Iberian Coast and Bay of Biscay (Atlantic Ocean) • Adriatic Sea (Mediterranean) • Aegean - Levantine Sea (Mediterranean). • Madeira and Azores (Macaronesia) • Baltic Sea • Black Sea • Norwegian and Icelandic Seas • Canary Islands (Macaronesia) • Arctic region and Barentz Sea

The DTM is based upon 21937 bathymetric survey data sets and Composite DTMs that have been gathered from 64 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2022 and IBCAO V4.

The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2022 contained > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as: • water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters). • option to view depth parameters of individual DTM cells and references to source data • option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD • option to visualize the DTM in 3D in the browser without plug-in • layer with a number of high resolution DTMs for coastal regions • layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.

Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views

🌐 Homepage | 📖 arXiv

  Introduction

Predicting realistic ground views from satellite imagery in urban scenes is a challenging task due to the significant view gaps between satellite and ground-view images. We propose a novel pipeline to tackle this challenge, by generating geospecifc views that maximally respect the weak geometry and texture from multi-view… See the full description on the dataset page: https://huggingface.co/datasets/GDAlab/GeoContext-v1.