Google is not only popular in its home country, but is also the dominant internet search provider in many major online markets, frequently generating between ** and ** percent of desktop search traffic. The search engine giant has a market share of over ** percent in India and accounted for the majority of the global search engine market, way ahead of other competitors such as Yahoo, Bing, Yandex, and Baidu. Google’s online dominance All roads lead to Rome, or if you are browsing the internet, all roads lead to Google. It is hard to imagine an online experience without the online behemoth, as the company offers a wide range of online products and services that all seamlessly integrate with each other. Google search and advertising are the core products of the company, accounting for the vast majority of the company revenues. When adding this up with the Chrome browser, Gmail, Google Maps, YouTube, Google’s ownership of the Android mobile operating system, and various other consumer and enterprise services, Google is basically a one-stop shop for online needs. Google anti-trust rulings However, Google’s dominance of the search market is not always welcome and is keenly watched by authorities and industry watchdogs – since 2017, the EU commission has fined Google over ***** billion euros in antitrust fines for abusing its monopoly in online advertising. In March 2019, European Commission found that Google violated antitrust regulations by imposing contractual restrictions on third-party websites in order to make them less competitive and fined the company *** billion euros.

UNOSAT code: TC20250308MOZ, GDACS ID: 1001154 This map shows the locations where damage was detected based on a very high resolution satellite image collected 18 March 2025 when compared to very high resolution imagery by Airbus from October 2023 and February 2024 (south only), available through Google Earth Pro. Between October 2023 and March 2025, multiple cyclones have passed over Île de Mozambique.
Across the Île de Mozambique, 78 damaged buildings were detected and accumulations of sand indicative of prior flooding were observed on roads and in public spaces.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Gaia 3 is a free Windows application for accessing, visualizing and sharing open geospatial data and services. Gaia 3 lets you seamlessly access and use an array of location content and services from your Windows desktop ? including OGC WMS, WFS, WCS services, Microsoft Virtual Earth, Yahoo! Maps, Google Earth KML/KMZ, OGC GML, ESRI Shapefiles, and more. Developed as part of the US National Spatial Data Infrastructure (NSDI) Cooperative Agreement Program (CAP), Gaia 3 provides a robust and open API that allows programmers to develop Gaia Extenders. Gaia Extenders are light, easy to deploy and can rapidly enhance Gaia's functionality for the SDI and GEO communities.

🇰🇭 캄보디아

GeoPackage database with 994 fluvial and anthropogenic traces mapped in the hinterland of Ravenna through historical imagery, satellite images and drone photos, together with related metadata.

Sources of aerial and satellite images analysed include:

Istituto Geografico Militare Italiano (IGMI), Volo GAI (Gruppo Aeronautico Italiano) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/VIGMIGAI1954_H5/index.html (last accessed on 31 January 2025).

Ministero dell'Ambiente e della Tutela del Territorio e del Mare (MATTM) aerial photos are available at http://www.pcn.minambiente.it/viewer/ (last accessed on 31 January 2025).

Agenzia per le Erogazioni in Agricoltura (AGEA) aerial photos are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).

Google Earth satellite images, accessed through Google Earth Pro for desktop, which can be downloaded from https://www.google.it/earth/versions/ (last accessed on 31 January 2025).

Microsoft Bing satellite images are available at https://www.bing.com/maps/aerial (last accessed on 31 January 2025). Historical imagery has been accessed through a third-party website freely available at https://zoom.earth/, but this service has been discontinued (last accessed on 31 January 2025).

Esri World Imagery satellite images are available at https://livingatlas.arcgis.com/wayback/ (last accessed on 31 January 2025).

Consorzio Telerilevamento Agricoltura (TeA) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).

Compagnia Generale Riprese Aeree (CGR) are available at https://servizimoka.regione.emilia-romagna.it/mokaApp/apps/CORERH5/index.html (last accessed on 31 January 2025).

PlanetScope satellite images were made available through Planet Education and Research Program: more information is available at https://www.planet.com/industries/education-and-research/ (last accessed on 31 January 2025).

In the most recently reported fiscal year, Google's revenue amounted to 348.16 billion U.S. dollars. Google's revenue is largely made up by advertising revenue, which amounted to 264.59 billion U.S. dollars in 2024. As of October 2024, parent company Alphabet ranked first among worldwide internet companies, with a market capitalization of 2,02 billion U.S. dollars. Google’s revenue Founded in 1998, Google is a multinational internet service corporation headquartered in California, United States. Initially conceptualized as a web search engine based on a PageRank algorithm, Google now offers a multitude of desktop, mobile and online products. Google Search remains the company’s core web-based product along with advertising services, communication and publishing tools, development and statistical tools as well as map-related products. Google is also the producer of the mobile operating system Android, Chrome OS, Google TV as well as desktop and mobile applications such as the internet browser Google Chrome or mobile web applications based on pre-existing Google products. Recently, Google has also been developing selected pieces of hardware which ranges from the Nexus series of mobile devices to smart home devices and driverless cars. Due to its immense scale, Google also offers a crisis response service covering disasters, turmoil and emergencies, as well as an open source missing person finder in times of disaster. Despite the vast scope of Google products, the company still collects the majority of its revenue through online advertising on Google Site and Google network websites. Other revenues are generated via product licensing and most recently, digital content and mobile apps via the Google Play Store, a distribution platform for digital content. As of September 2020, some of the highest-grossing Android apps worldwide included mobile games such as Candy Crush Saga, Pokemon Go, and Coin Master.

Climate data estimated using satellite images using Google Earth Engine (GEE) and Amazon Sagemaker with Geospatial Capabilities.

Records containing the names, surface area, elevation and geographical co-ordinates of all islands (with the exception of islands in freshwater bodies) in the Falkland Islands are extracted from a database (known as the Falkland Islands Biodiversity Database). All records, which correspond to points in the space, have been entered in association with the date of survey visit, surveyor's name and affiliation. A desktop assessment, for example using Google Earth or aerial photographic images, is also considered to be a 'visit'. Disclaimer: surface area and elevation are not considered to be entirely reliable and should be used with caution.

The data consists in worldwide locations where soil gas have been tested as pathfinders for mineral exploration. The data was collated from case studies published in English in scientific articles, theses, books, reports and analytical laboratory websites. Each location has information on the commodity associated with the known deposit investigated, as well as the soil gas investigated.

The associated file is a .kmz format to be opened with Google Earth (either online or desktop version). It includes the Köppen climate map overlaid by the sampling locations.

Systematic records for tussac cover and tussac quality for all vegetated islands and tied islands are extracted from the database (known as the Falkland Islands Biodiversity Database) for all islands in the Falkland Islands (with the exception of islands in freshwater bodies). Each record is entered according to the date of survey and in association with the surveyor's name and affiliation. A desktop assessment, for example using Google Earth or aerial photographic images, is also considered to be a 'visit'. Disclaimer: due to the wide range and variability of survey methodology and coverage, the data are not considered to be entirely reliable and should be used with caution.

Landslide areas in North Dakota are depicted on this map as mapped from historical aerial photographs, recent digital aerial imagery, and LiDAR digital elevation models, over a six-year period from 2016 to early 2023. These landslide areas were mapped at variable scales generally at 1:12,000 or less and presented at 1:24,000 scale in 1,476 individual quadrangles that cover the state. A total of 59,505 landslide areas were identified based dominantly on their surficial geomorphological expression and represent landslide areas identified up to the last date of LiDAR data collection available.Historical aerial photography used in the initial identification of landslide areas consisted of 1:20,000 paper aerial photographs from the U.S. Department of Agriculture’s aerial photography programs spanning the years from 1952 to 1965. Recent aerial imagery from the National Agricultural Imagery Program (NAIP) ranging mostly from 1997 to 2022 was also reviewed when available either in the desktop mapping environment or within the Google Earth platform.Surface elevation models created from recently acquired LiDAR data was used intensively to update previous inventory mapping work where only aerial photos were used. A LiDAR surface model was created for each of the 1,464 1:24,000 scale quadrangles which served as the basemap for final inventory mapping.Landslides in North Dakota fall into three broad categories based on their geologic environments. The highest density and number of landslides occurs throughout the rugged badlands topography in western and southwestern North Dakota. These landslides are most commonly large rotational slumps with well-defined head scarps and toes. Glacial meltwater valleys and current hydrologic corridors also contain a high number of landslides. These landslides are generally large, ancient landslides, constrained to the glacial meltwater valleys where they are mapped. The third group of landslides are riverbank slumps resultant from the continued fluctuation of river levels from seasonal flooding along active river systems across the state. The remaining landslide areas are typically smaller, more variable in type, and are locally influenced by their unique geologic setting or recently modified anthropogenic setting.Landslides in North Dakota are thought to range in age from the Quaternary to recent and contemporary landslide areas continued to be identified as mapping progresses from inventory mapping into the temporal analysis and interpretation of comparative LiDAR data sets. The areas shown on this map represent the first comprehensive landslide mapping inventory completed for the state of North Dakota.

Statewide soil and land information can be discovered and viewed through eSPADE or SEED. Datasets include soil profiles, soil landscapes, soil and land resources, acid sulfate soil risk mapping, hydrogeological landscapes, land systems and land use. There are also various statewide coverages of specific soil and land characteristics, such as soil type, land and soil capability, soil fertility, soil regolith, soil hydrology and modelled soil properties.

Both eSPADE and SEED enable soil and land data to be viewed on a map. SEED focuses more on the holistic approach by enabling you to add other environmental layers such as mining boundaries, vegetation or water monitoring points. SEED also provides access to metadata and data quality statements for layers.

eSPADE provides greater functions and allows you to drill down into soil points or maps to access detailed information such as reports and images. You can navigate to a specific location, then search and select multiple objects and access detailed information about them. You can also export spatial information for use in other applications such as Google Earth™ and GIS software.

eSPADE is a free Internet information system and works on desktop computers, laptops and mobile devices such as smartphones and tablets and uses a Google maps-based platform familiar to most users. It has over 42,000 soil profile descriptions and approximately 4,000 soil landscape descriptions. This includes the maps and descriptions from the Soil Landscape Mapping program. eSPADE also includes the base maps underpinning Biophysical Strategic Agricultural Land (BSAL).

For more information on eSPADE visit: https://www.environment.nsw.gov.au/topics/land-and-soil/soil-data/espade

Below is a quick rundown of the tools available in the web map! The first new thing you may notice is the ability to search from in the splash window that appears. This hopefully reduces the number of clicks people will need to get to their information. There's the same search bar in the upper left once you click out of the splash screen. The Query tool has existed in this form on the sub-maps, but now it is here with all the layers. I want to highlight "Search by Legal Description" as a nifty way to find parcels associated with a specific subdivision. I also want to highlight the "find tax parcels/addresses within specified distance" queries. Those let you select every tax parcel or address within a feature you draw (a point, line, or polygon). This is good for finding what properties within a distance need to be notified of something. That can then be exported as an Excel table (csv). This can also help you identify whether something falls within certain setbacks. The Basemaps is the same as it was before. I haven't gotten the Virginia Geographic Information Network imagery from 2017 and 2021 to successfully appear here, but you can find that in the map layers at the bottom. We have a lot of data layers! I currently have the default as every group expanded out, so you can scroll and see all the layers, but you can go through and click to collapse any groups you don't want expanded. Okay, the select tool is super cool, and lets you really dive into some fun GIS attribute querying! As an example, you can select all the FEMA Flood Zones that are AO, then select all the tax parcels that are affected by (intersect) those AO zones! These results can also be exported into an Excel table. A great deal of GIS analysis is possible just using Select by Attributes and Select by Location, so this tool really ramps up the power of the web map so it can do some of what the desktop GIS software can do! Continuing our tour of the tools, we come to the coordinates tool. This one also existed already in the sub-maps, but is now with all the layers. Unfortunately, the tool is a little annoying, and won't retain my defaults. You have to click the little plus sign target thing, then you can click on the map to get the coordinates. The coordinate system defaults to WGS 1984 Web Mercator (the same thing Google Maps uses), but much of our data uses NAD 1983 State Plane Virginia South, so you can click the dropdown arrow to the right to select either one. Exciting news related to this: in 2026 they are releasing the new coordinate system on which they've been working! It should make the data in GIS more closely align with features in reality, but you will not need to change any of the ways you interact with the data. The next tool is the Elevation Profile tool. It's very nifty! You can draw a profile to see how the elevation changes, and as you move your cursor along the graph, it shows where along your transect you are! It helps explain some of the floodplain and sea level rise boundaries. You know the measure tool well, but this one retains the defaults in feet and acres, which is very exciting! No more having to change the units every time you want to measure (unless you want other than feet and acres). The draw tool is our penultimate stop on the tour! It is largely the same as what existed on the old public web map, so I shan't delve into it here. When you draw a feature now though, it appears in the layers tab (until you close the map), which can let you toggle the drawing on and off to work with what is beneath it. It can help as you plan in where you might want to put new constructions. The print tool is also largely the same, but I've been finding the tool in this new Experience Builder format is less buggy than the one in the retired Web App Builder that made the old Public Web Map.

Accuracy report for random forest.

Accuracy of different models.

Current Extent\r \r The State Vegetation Type Map (SVTM) is a regional-scale map of NSW Plant Community Types. This map represents the current extent of each Plant Community Type, Vegetation Class and Vegetation Formation, across all tenures in NSW. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy. \r \r An SVTM pre-clearing PCT map is available here .\r \r Further information about the mapping methods is available from the State Vegetation Type Mapping Program Page \r \r Current Release C2.0.M2.1 (November2024)\r \r This release includes revisions, using the most recent NSW PCT Classification Master list (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release. In addition, changes were made to the Native Vegetation Extent mask which is used to create the Native Extent map.\r \r Detailed technical information is available here .\r \r Data Access\r \r Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications. \r \r The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at https://treesnearme.app .\r \r Map Data Type\r \r The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.4 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.\r \r Feedback and Support\r \r We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer. \r \r For further support, contact the BioNet Team at _ bionet@environment.nsw.gov.au. _\r \r Useful Related Data\r \r NSW BioNet Flora Survey Plots – PCT Reference Sites : full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.\r \r NSW State Vegetation Type Map - technical notes \r \r Eastern NSW - percentage cleared calculation technical notes .

Congestion state level.

This Pre-Clearing map represents the pre-clearing extent of the State Vegetation Type Map (SVTM). Both SVTM and SVTM (Pre-Clearing) map each Plant Community Type, Vegetation Class and Vegetation Formation at a regional scale across all tenures in NSW. Pre-clearing PCT mapping is available for both eastern NSW and Far Western NSW. Coverage of Central NSW is a work in progress. \r \r Pre-clearing extent of PCTs was developed using a combination of aerial photographic interpretation, environmental layers and historical documents. This map is updated periodically as part of the Integrated BioNet Vegetation Data program to improve quality and alignment to the NSW vegetation classification hierarchy. \r \r Further information and technical documents about the SVTM is available from the State Vegetation Type Mapping Program Page \r \r Current Release C2.0.M2.1 (November2024)\r \r This release includes revisions, using the most recent NSW PCT Classification Masterlist (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.0 release. \r \r Detailed technical information is available here .\r \r Data Access\r \r Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications. \r \r The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at https://treesnearme.app .\r \r Map Data Type\r \r The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.6 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.\r \r Feedback and Support\r \r We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer or the Feedback function in Trees Near Me NSW. \r \r For further support, contact the BioNet Team at _ bionet@environment.nsw.gov.au _.\r \r Useful Related Data\r \r NSW State Vegetation Type Map : regional scale map of extant NSW Plant Community Types, Vegetation classes and Vegetation Formations.\r \r NSW BioNet Flora Survey Plots – PCT Reference Sites : full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.\r \r NSW State Vegetation Type Map - technical notes \r \r Eastern NSW - percentage cleared technical notes .