The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

Google Maps (zoom 18)

## Overview

Google Maps (zoom 18) is a dataset for semantic segmentation tasks - it contains Tanksmall Or Tanklarge annotations for 937 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The Digital Geologic-GIS Map of Yosemite National Park and Vicinity, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (yose_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (yose_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (yose_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (yose_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (yose_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (yose_geology_metadata_faq.pdf). Please read the yose_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and California Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (yose_geology_metadata.txt or yose_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of Gettysburg National Military Park, Pennsylvania is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (gett_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (gett_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (gett_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (gett_eise_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (gett_eise_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (gett_geology_metadata_faq.pdf). Please read the gett_eise_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gett_geology_metadata.txt or gett_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

In 2025 to date, YouTube Kids was the most popular Google app, generating approximately 101 million downloads from iOS and Google Play Store users. Second-ranked Google Maps was downloaded 95.3 million times by global users. Mobile navigation service YouTube ranked third, with approximately 86 million downloads worldwide during the examined period.

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) -

Open your browser (preferably Google Chrome, Mozilla Firefox, or Opera. Microsoft Edge tends to have problems displaying the maps and data on the website itself.) Go to https:\motus.orgAt the very top left of the homepage, click register.

http://www.openstreetmap.org/images/osm_logo.png" alt=""/> OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

Browse the map of London on OpenStreetMap.org

Downloads:

The whole of England updated daily:

• england.osm.bz2 ~185M - .osm formatted raw XML data (compressed)
• england.shp.zip ~156M - ESRI shapefiles

For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

Data access APIs:

Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:
http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:
http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

The .osm format

The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

• .osm - About the raw XML data format of OpenStreetMap
• Downloading data - More details of the API and extract download options
• Xapi - The extended api for filtering by tag
• Map Features - A list of tags, and what map features they represent
• Converting map data between formats - catalogue of tools for converting from .osm to other formats

Simple embedded maps

Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

Help build the map!

The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. This global map of Local Climate Zones, at 100m pixel size and representative for the nominal year …

PLEASE NOTE: These data do not include data over Tasmania. Please see links relevant to that area.

GEODATA TOPO 250K Series 3 is a vector representation of the major topographic features appearing on the 1:250,000 scale NATMAPs supplied in KML format and is designed for use in a range of commercial GIS software. Data is arranged within specific themes. All data is based on the GDA94 coordinate system.

GEODATA TOPO 250K Series 3 is available as a free download product in Personal Geodatabase, ArcView Shapefile or MapInfo TAB file formats. Each package includes data arranged in ten main themes - cartography, elevation, framework, habitation, hydrography, infrastructure, terrain, transport, utility and vegetation. Data is also available as GEODATA TOPO 250K Series 3 for Google Earth in kml format for use on Google Earth TM Mapping Service.

Product Specifications

Themes: Cartography, Elevation, Framework, Habitation, Hydrography, Infrastructure, Terrain, Transport, Utility and Vegetation

Coverage: National (Powerlines not available in South Australia)

Currency: Data has a currency of less than five years for any location

Coordinates: Geographical

Datum: Geocentric Datum of Australia (GDA94)

Formats: Personal Geodatabase, kml, Shapefile and MapInfo TAB

Release Date: 26 June 2006

The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding.The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population. New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA products which provide coverage for those areas.In the NFHL Viewer, you can use the address search or map navigation to locate an area of interest and the NFHL Print Tool to download and print a full Flood Insurance Rate Map (FIRM) or FIRMette (a smaller, printable version of a FIRM) where modernized data exists. Technical GIS users can also utilize a series of dedicated GIS web services that allow the NFHL database to be incorporated into websites and GIS applications. For more information on available services, go to the NFHL GIS Services User Guide.You can also use the address search on the FEMA Flood Map Service Center (MSC) to view the NFHL data or download a FIRMette. Using the “Search All Products” on the MSC, you can download the NFHL data for a County or State in a GIS file format. This data can be used in most GIS applications to perform spatial analyses and for integration into custom maps and reports. To do so, you will need GIS or mapping software that can read data in shapefile format.FEMA also offers a download of a KMZ (keyhole markup file zipped) file, which overlays the data in Google Earth™. For more information on using the data in Google Earth™, please see Using the National Flood Hazard Layer Web Map Service (WMS) in Google Earth™.

Free downloads of about 19,000 classic maps issued by the Survey of India and its descendant organizations in Pakistan, Bangladesh and Burma. The collection includes maps of Pakistan, India, Nepal, Bhutan, Bangladesh and Burma dating from the 1880s through to the 2010s, as well as some even older historical maps.

The "Map Selection and Download Spreadsheet" file below can be downloaded to provide an easy-to-use tool to view the file names of all the maps available on this website. Each of the filenames in the spreadsheet is a link to the map file, and a click on the file name will download the map to the viewers computer. This file can be stored by the viewer for future use, or, as the collection grows, an updated file can be obtained periodically from this website. The file is issued in an MS Excel format, but it can be opened by Google Sheets or other spreadsheet software.

The map collection is broken down into 19 different categories based on topic, scale and geographic area. A tab at the bottom of the spreadsheet opens the page for each category.

Los Angeles County Native Tree Restoration Mitigation and Priority Planting PlanLos Angeles County Contract (with RCDSMM) #SPF03-03These layers are for use in determining where to plant native trees in the Santa Monica Mountains National Recreation Area (SMMNRA) for restoration or mitigation purposes, given the fact that the climate is changing and many native trees may not continue to survive or reproduce in their current locations. Native trees are a limited yet key part of the SMMNRA landscape, providing habitat and linkages for many species as well as a diversity of ecosystem services. Project layers include: Study Area; Existing Locations for each species, derived from NPS 2007 Vegetation Mapping data or California Consortium of Herbaria data; and Suitable Habitat RCP 8.5 for each species (future climate projections of suitable habitat for each species). THE SUITABLE HABITAT RCP 8.5 LAYERS HAVE NOT BEEN FIELD-CHECKED; THEREFORE, THESE LAYERS SHOULD BE USED AS GUIDELINES FOR POTENTIAL PLANTING AREAS ONLY. Any potential planting locations should be visited in the field, and proper permitting should be secured. In addition, these layers, and the app, should be used in conjunction with the Los Angeles County Native Tree Priority Planting Plan, available at: https://www.rcdsmm.org/resources/reports-and-publications/Map Catalog – (download location)https://drive.google.com/drive/folders/1sjFlFG-HvUlQVaR0Xm0aqgV4Pc4rqxwS?usp=sharingData Download – (download location)https://drive.google.com/drive/folders/1vgyIpiQ52xZGJA86zbacJMqo055VyZ76?usp=sharingWeb App – (interactive application)CLICK HERE for an application to use in identifying priority planting areas.(https://nps.maps.arcgis.com/apps/webappviewer/index.html?id=552aa3e8797b41d7aab68e0eb20a9521)Project Contact Information:Rosi DagitResource Conservation District of the Santa Monica Mountains540 South Topanga BlvdTopanga, CA 90290818-597-8627rdagit@rcdsmm.org

Summary

Earth Map (earthmap.org) is a web-based FAO-Google tool for quick multi-temporal analysis of environment and climate parameters for evidence-based policies integrating cloud technologies and freely available datasets. Earth Map can analyse and display data that are already present in Google Earth Engine (earthengine.google.com) as other freely available datasets that have been gathered, processed and uploaded to the platform.

Data domains range from temperature to precipitation, fires, population, vegetation, evapotranspiration, water, land use/cover, elevation, soil, satellite images, etc. Most of the data include multi-temporal series allowing to have a time machine for several environmental parameters.

Earth Map aims to lower the access to some feature of Earth Engine through a simple graphical interface with drop-down menus. Any user can run environmental and climatic analysis on their area of interest and in a matter of few seconds.

https://data.apps.fao.org/catalog/dataset/a7116f30-254f-43c3-85ce-6756b4dd5259/resource/2d9c30c0-b593-4879-9096-1b3e87cc248a/download/earth-map-screenshot.png" alt="EarthMap Screenshot">

Application

Users without prior experience in GIS or remote sensing, but with knowledge of the land to be analysed, can use Earth Map to produce images, tables and statistics describing the environmental and climatic context and history of an area. Therefore, Earth Map can play a strategic role in providing guidance in project design but also in project monitoring and final evaluation.

Even in countries where data appear to be scarce, the remote-sensing data in Earth Engine are integrated with additional freely available datasets to provide timely analysis, customized for the objectives of the projects. The tool allows to gather an in-depth multi-temporal perspective of the environmental and climatic conditions with a focus on the study of the anomalies and their frequency.

Background

Earth Map has been developed in the framework of the FAO-Google partnership, in synergy with the FAO Hand-in-Hand Geospatial Platform and thanks to the support of the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU). The team behind Earth Map is the same team that developed Collect Earth (www.openforis.org/tools/collect-earth.html) and it is still maintaining it; Collect Earth is another FAO-Google application to produce detailed statistics of land use, land use change and forest through a point sampling approach and freely available remote sensing data.

Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

Free downloads of about 26,900 classic maps issued by the Survey of India and its descendant organizations in Pakistan, Bangladesh and Burma. The collection includes maps of Pakistan, India, Nepal, Bhutan, Bangladesh and Burma dating from the 1880s through to the 2010s, as well as some even older historical maps.

The "Map Selection and Download Spreadsheet" file below can be downloaded to provide an easy-to-use tool to view the file names of all the maps available on this website. Each of the filenames in the spreadsheet is a link to the map file, and a click on the file name will download the map to the viewers computer. This file can be stored by the viewer for future use, or, as the collection grows, an updated file can be obtained periodically from this website. The file is issued in an MS Excel format, but it can be opened by Google Sheets or other spreadsheet software.

The map collection is broken down into 19 different categories based on topic, scale and geographic area. A tab at the bottom of the spreadsheet opens the page for each category.

This data set is a Status Map that identifies the location of wetland data and no data areas. The wetland data itself represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Trust Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats may be excluded because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition.The U.S. Fish and Wildlife Service (Service) is the principal Federal agency that provides information to the public on the extent and status of the Nation's wetlands. The Service's strategic plan for our vast national wetland data holdings is focused on the development, updating, and dissemination of wetlands data and information to Service resource managers and the public. The development of the Wetlands Master Geodatabase is in direct response to the need to integrate digital map data with other resource information to produce timely and relevant management and decision support tools.For more information visit: https://www.fws.gov/wetlands/index.htmlView Wetlands Data on the Wetlands Mapper at: https://www.fws.gov/wetlands/Data/Mapper.htmlWetlands Web Services are available at: https://www.fws.gov/wetlands/Data/Web-Map-Services.htmlWetlands Data available as a KML at: https://www.fws.gov/wetlands/Data/Google-Earth.htmlWetlands Data Downloads available at: https://www.fws.gov/wetlands/Data/Data-Download.htmlWetland Data Standards available at: https://www.fws.gov/wetlands/Data/Data-Standards.html

Accurate and precise measurements of global cropland extent are needed for monitoring the sustainability of agriculture at all scales. Recent advancement in remote sensing and land cover mapping methods have greatly increased the ability to estimate cropland area distribution and trends. Here the FAO presents a map of cropland agreement produced by consolidating information at pixel level from six high-resolutions maps for circa 2020. The following six high resolution layers were used: ESRI 10 meter LU/LC, FROM-GLC, GLAD, GLC-FCS30, Globeland30 and Worldcover.

Two bands are included in the dataset:

1. Simple agreement (values between 1 and 6)
2. Detailed agreement (values between 1 and 63)

The map, developed in the Google Earth Engine platform, combines the 6 land cover/cropland layers to show their cropland agreement on pixel level at a spatial resolution of 30 meters. The simple agreement has pixel values that range from 1 (only 1 dataset classifies as cropland) to 6 (all datasets agree on presence of cropland). Pixels with a value of 0 indicate pixels where all datasets agree on absence of cropland. The second band includes a detailed agreement, showing which combination of the 6 datasets classify a pixel as cropland. The overview table (DetailedAgreement_LookupTable.xlsx) shows what the pixel values of this detailed agreement (from 1 to 63) correspond to.

The dataset has been uploaded in 16 tiles, in the preview below and in the file "ACroplandAgreement_30m_Tiles.png" the extent of each tile can be found.

For more information on FAO statistics on land cover and land use:

FAO. 2022. Land use statistics and indicators. Global, regional and country trends, 2000–2020. FAOSTAT Analytical Brief, no. 48. Rome. https://doi.org/10.4060/cc0963en

FAO. 2021. Land cover statistics. Global, regional and country trends, 2000–2019. FAOSTAT Analytical Brief Series No. 37. Rome.