True web site https://gis.icao.int/aop Work also in conjunction with AOP PROFIL TOOL

This Web application is for: Profil tool from ESRI Services, click on the Mesure tool, click on the aerodrome, close the box, click where you want to see the profil...the result is in the frame Elevation

The Airport Database and Resource Management (ADRM) market is experiencing robust growth, driven by the increasing need for efficient airport operations and enhanced passenger experience. The global market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 10% from 2025 to 2033, reaching approximately $5 billion by 2033. This expansion is fueled by several key factors. Firstly, the surge in air travel globally necessitates sophisticated systems to manage resources effectively, reducing delays and optimizing workflows. Secondly, the adoption of advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) within ADRM solutions is improving data analysis and predictive capabilities, leading to better resource allocation and improved decision-making. Furthermore, rising security concerns are driving demand for robust database management systems that can efficiently handle vast amounts of passenger and operational data, while ensuring compliance with stringent regulations. The increasing focus on sustainability within airports also contributes to market growth, as ADRM solutions facilitate optimized energy consumption and reduced waste. Segmentation within the ADRM market reveals strong growth in both software and service components. Software solutions, offering data analytics and predictive modeling capabilities, are experiencing higher demand due to their ability to provide actionable insights. Civil airports represent a larger market segment compared to military airports, primarily due to the higher volume of passenger traffic and operational complexities. Key players like SITA, Rockwell Collins, Amadeus, Sabre, and Thales are strategically investing in research and development to enhance their product offerings, fostering competition and driving innovation within the market. Regional analysis indicates North America and Europe are currently the dominant markets, driven by technological advancements and high adoption rates. However, rapid infrastructure development in Asia-Pacific and the Middle East & Africa is expected to create lucrative growth opportunities in these regions over the forecast period. Challenges remain, including the high initial investment costs associated with implementing ADRM systems and the need for skilled personnel to operate and maintain these complex technologies.

The global airport database and resource management market size was valued at USD 1.8 billion in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 6.5% from 2024 to 2033. The increasing demand for efficient airport operations, the need for real-time data to enhance decision-making, and the growing adoption of digital technologies in the aviation industry are the key factors driving the market growth. The market is segmented based on application (civil airport, military airport), type (service, software), and region (North America, Europe, Asia Pacific, Middle East & Africa, South America). Among the regions, North America held the largest market share in 2023, owing to the presence of major airports and advanced infrastructure. However, the Asia Pacific region is anticipated to register the highest CAGR during the forecast period due to the increasing number of airports and the growing adoption of digital technologies in the region. The key players operating in the airport database and resource management market include SITA, Rockwell Collins, Amadeus, Sabre, ADB Safegate, Thales, Leidos, Topsystem, Arepo Solutions, Quantum Aviation Solutions, Avtura, and Inform. These players are focusing on providing innovative solutions and expanding their geographic reach to enhance their market position.

The global airport database and resource management market is expanding rapidly, driven by the increasing demand for efficient and centralized airport operations. The market is projected to reach USD XXX million by 2033, exhibiting a CAGR of XX% during the forecast period 2025-2033. The growing air traffic, increasing need for enhanced passenger experience, and advancements in technology are key factors fueling the market expansion. Key market trends include the adoption of cloud-based solutions for database management, the integration of artificial intelligence (AI) and machine learning (ML) algorithms to optimize airport resources, and the increasing emphasis on cybersecurity measures to protect sensitive data. The market is segmented by application (civil airport and military airport) and type (service and software). North America is the largest regional market, followed by Europe and Asia Pacific. The presence of major airports and airlines in these regions drives the demand for advanced database and resource management systems. Key players in the market include SITA, Rockwell Collins, Amadeus, Sabre, ADB Safegate, Thales, Leidos, Topsystem, Arepo Solutions, Quantum Aviation Solutions, Avtura, Inform, and others. These companies offer a range of solutions, including airport operations management, resource planning, data analytics, and cybersecurity services, to meet the diverse needs of airports globally.

Available only on the web, provides information for airport pair markets rather than city pair markets. This table only lists airport markets where the origin or destination airport is an airport that has other commercial airports in the same city. Midway Airport (MDW) and O'Hare (ORD) are examples of this. All records are aggregated as directionless markets. The combination of Airport_1 and Airport_2 define the airport pair market. All traffic traveling in both directions is added together.

https://www.transportation.gov/policy/aviation-policy/competition-data-analysis/research-reports

Contained within the 4th Edition (1974) of the Atlas of Canada is a plate map that shows 2 maps. The first map shows the locations of airports and aerodromes as of 1967, and also time zone boundaries. Airports and aerodromes are denoted as being an international airport, a Department of National Defense aerodrome or other airport / aerodrome and as having precision approach capability, non precision approach capability or no approach instrumentation. The length of each airport or aerodrome's runway is also indicated. The second map, at a scale of 1:35 000 000, shows the locations of water aerodromes and heliports for all of Canada.

The Schedules API service provides real-time data for the flight schedules and timetables of airports and airlines around the world and maintains this for you in our central database, always accessible with your personal API key. This is one of Aviation Edge’s core features. You can build real-time airport departure and arrival tables, keep track of delays and cancellations, track the status of flights by using our API. The data comes in JSON format, making it useful to implement to websites and build applications, tools, software, and more.

The data includes the following: - Flight Status: active, scheduled, landed, cancelled, incident, diverted, redirected. - Airport details: IATA code, ICAO code, Terminal, Gate for both departure and arrival airport - Take-off information: Scheduled, estimated and actual times on runway and that of departure/arrival. - Total delay (updated for departures) - Airline: Name, IATA code and ICAO code. - Flight: Number of Flight, IATA prefix with flight number and ICAO prefix with flight number.

Example response from the API:

[ {"airline": {"iataCode":"DL", "icaoCode":"DAL", "name":"Delta Air Lines"}, "arrival": {"actualRunway":"2021-03-03T04:15:00.000", "actualTime":"2021-03-03T04:15:00.000", "baggage":"T4", "delay":null, "estimatedRunway":"2021-03-03T04:15:00.000", "estimatedTime":"2021-03-03T04:15:00.000", "gate":"B41", "iataCode":"JFK", "icaoCode":"KJFK", "scheduledTime":"2021-03-03T05:05:00.000", "terminal":"4"}, "codeshared":null, "departure": {"actualRunway":"2021-03-03T00:10:00.000", "actualTime":"2021-03-03T00:10:00.000", "baggage":5, "delay":"16", "estimatedRunway":"2021-03-03T00:10:00.000", "estimatedTime":”2021-03-03T00:10:00.000”, "gate":"B06", "iataCode":"TLV", "icaoCode":"LLBG", "scheduledTime":"2021-03-02T23:55:00.000", "terminal":"3"}, "flight": {"iataNumber":"DL235", "icaoNumber":"DAL235", "number":"235"}, "status":"landed", "type":"arrival"} ]

Output:

For the departure schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=departure

For the arrival schedule of a certain airport. GET http://aviation-edge.com/v2/public/timetable?key=[API_KEY]&iataCode=JFK&type=arrival

Details of passenger and aircraft movement data carried on scheduled Regular Public Air Transport services at selected Australian airports. Monthly, Year ended June and Year ended December figures.

The Aviation Facilities dataset is updated every 28 days from the Federal Aviation Administration (FAA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Aviation Facilities dataset is a geographic point database of all official and operational aerodromes in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the aerodrome, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. For more information about these data, please visit: https://www.faa.gov/air_traffic/flight_info/aeronav/Aero_Data/NASR_Subscription. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529011

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The Airport Runways database is a geographic dataset of runways in the State of Maryland containing information on the physical characteristics of the runways. The 6716 runways in the dataset are runways associated with the 19721 airports in the companion airport data set. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product (Effective 17 March 2013). Last Updated: 06/2013 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_Transit/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Stay updated with Market Research Intellect's Airport Database And Resource Management Market Report, valued at USD 1.2 billion in 2024, projected to reach USD 2.5 billion by 2033 with a CAGR of 9.5% (2026-2033).

The Davis Aerodrome Project (DAP) collected a range of environmental survey data over several field seasons to support a comprehensive environmental assessment of the proposed aerodrome. This data includes flora, fauna, soils, lake ecosystem, nearshore, marine, air quality and meteorological information which has been collected by a number of different methods, and extends across the current Davis Station, proposed aerodrome and supporting infrastructure footprint (Ridge Site), previous sites considered for the aerodrome (Heidemann Valley, Adams Flat), as well as locations across the Vestfold Hills away from any of the proposed developments.
The Vestfold Hills is one of the largest, ice-free coastal oases in Antarctica. The rocky landscape is dotted with numerous lakes, some of which receive meltwater from the Antarctic icesheet, and are ultrafresh. Other lakes owe their existence to the isolation of marine basins during isostatic rebound, and are now saline to hypersaline. In summer local meltstreams develop, and in moist places mosses and lichens can be abundant. All these habitats – lakes, soils, mosses and lichens – harbour a range of microinvertebrates, including species of nematode, tardigrade, monogonont and bdelloid rotifers, mites, copepod and cladoceran. The animals that inhabit the Vestfold Hills are highly adapted to their environment; many are able to survive being frozen for extended periods. The wide range of lacustrine habitats means that there a similarly wide range of species present. The Vestfold Hills are home to some species not recorded elsewhere, as well as unusual occurrences of marine species that survive in saline lakes.

The animals of the Vestfold Hills can also be viewed as part of a continent-wide biota, components of which had their origins prior to the break-up of Gondwanaland and the onset of Antarctic glaciation. Many species occur widely across the continent, while others have very limited distributions. Understanding Antarctic biogeography yields insights into the development of the physical geography of the continent.

Identification of the microinvertebrates can be difficult. While some species are immediately obvious, others cannot be identified purely on morphology. In particular, the bdelloid rotifers are renowned for being difficult to identify as many look similar, and they have a propensity to curl up into an unidentifiable ball. Modern DNA-based methods have markedly increase the number of species known to occur in the Vestfold Hills and throughout Antarctica. Furthermore, detailed genetic ‘barcodes’ based on a standardised section of the mitochondrial cytochrome c oxidase subunit 1 gene (CO1) indicate the presence of a range of haplotypes that provide a further level of detail.

This database provides all known records of free-living metazoan microinvertebrates from the Vestfold Hills. Records were extracted from published observations, the first of which were made on samples collected on a visit to the area by scientists from the Soviet Union in 1956. Many early identifications are to genus only, and should be viewed in this light. Limited detailed taxonomic publications appeared up until circa 2015. Modern, molecular genetic techniques were first applied to samples from the area in the early 2010s, which indicated far greater diversity than previously realised. A concerted lake and terrestrial sampling program associated with the Davis Aerodrome Project (DAP) provided numerous new direct observations, as well a multitude of DNA-based data.

This database represent the current state of knowledge as of 30 June, 2022.
Latitude Resolution:
Early terrestrial records often have poor spatial resolution, as data are only available from low-resolution maps. Modern samples (post-2000) typically have locations determined by GPS, and are therefore far more accurate. Locations of lakes are well known, and therefore all records from lakes have good spatial resolution in terms of lake location. GPS-determined sampling locations are available in general for samples collected post-2000.

Longitude Resolution:
See above

Vertical Resolution:
Surface altitude of the lakes was determined from a digital elevation model of the Vestfold Hills developed in the 1990s. This DEM is known to have problems in some areas.

Temporal Resolution:
The date of sample collection for samples collected as part of the DAP program are recorded in the database, but is poorly known for earlier samples. The date of analysis of the samples is not recorded.

A data update was provided on 2022-10-26.

Air traffic network-product is a link-knot routing dataset compliant with INSPIRE requirements. It includes f.ex. flight routes and aerodromes. Data shall not be used for operational flight activities or flight planning.

INSPIRE Air Traffic Network-product includes spatial information of air traffic network in accordance with the INSPIRE Directive. The data has been retrieved from the EAD database maintained by Eurocontrol. Information is updated regularly but is not constantly up to date. Data can be used for purposes that are in accordance with the INSPIRE Directive, but shall not be used for operational flight activities or flight planning. ANS Finland www.ais.fi –site provides information for operational flight activities or flight planning

Available layers

Aerodrome Node: Node located at the aerodrome reference point of an airport/heliport, which is used to represent it in a simplified way.DEFINITION Aerodrome Reference Point (ARP): The designated geographical location of an aerodrome, located near the initial or planned geometric centre of the aerodrome and normally remaining where originally established [AIXM3.3].DEFINITION Airport/heliport: A defined area on land or water (including any buildings, installations and equipment) intended to be used either wholly or in part for the arrival, departure and surface movement of aircraft/helicopters [AIXM5.0].

Air Route Link: A portion of a route to be flown usually without an intermediate stop, as defined by two consecutive significant points

Air Space Area: A defined volume in the air, described as horizontal projection with vertical limits.

Designated Point: A geographical location not marked by the site of a radio navigation aid, used in defining an ATS route, the flight path of an aircraft or for other navigation or ATS purposes.

Instrument Approach Procedure: A series of predetermined manoeuvres by reference to flight instruments with specified protection from obstacles from the initial approach fix, or where applicable, from the beginning of a defined arrival route to a point from which a landing can be completed and thereafter, if a landing is not completed, to a position at which holding or en route obstacle clearance criteria apply.

Navaid: One or more Navaid Equipments providing navigation services.DEFINITION Navaid equipment: A physical navaid equipment like VOR, DME, localizer, TACAN or etc.

Procedure Link: A series of predetermined manoeuvres with specified protection from obstacles.

Runway Area: A defined rectangular area on a land aerodrome/heliport prepared for the landing and take-off of aircraft.

Runway Centerline Point: An operationally significant position on the center line of a runway direction.

Standard Instrument Arrival: A designated instrument flight rule (IFR) arrival route linking a significant point, normally on an ATS route, with a point from which a published instrument approach procedure can be commenced.

Standard Instrument Departure: A designated instrument flight rule (IFR) departure route linking the aerodrome or a specific runway of the aerodrome with a specified significant point, normally on a designated ATS route, at which the en-route phase of a flight commences.

Surface Composition: Runway surface material

CTR (Not INSPIRE): A control zone (CTR) is a block of Controlled Airspace extending from the surface of the earth to a specified upper limit.

The global Airport Operations and Management Systems market is experiencing robust growth, driven by the increasing need for efficient and secure airport operations, enhanced passenger experience, and the integration of advanced technologies. The market, encompassing Airport Operational Databases (AODB), Airport Information Systems (AIS), Airport Resource Management Systems (ARMS), and other solutions, is witnessing significant expansion across both civil and military airports globally. Factors such as rising air passenger traffic, increasing adoption of automation and digitalization to streamline processes, and stringent regulatory compliance requirements are key drivers. The integration of AI and machine learning for predictive maintenance, real-time passenger flow optimization, and improved security protocols is shaping market trends. However, high initial investment costs for implementing these sophisticated systems and the complexities involved in integrating legacy infrastructure can pose challenges to market growth. North America and Europe currently hold significant market share, fueled by early adoption and substantial investments in technological upgrades. However, Asia-Pacific is projected to witness substantial growth in the coming years due to rapid infrastructure development and increasing air travel demand in developing economies. The market is highly competitive, with established players like Amadeus IT Group, SITA, and Thales Group facing competition from emerging technology providers. The segmentation by application (civil vs. military) reflects the diverse needs of different airport operators. Civil airports focus on passenger experience, operational efficiency, and cost optimization, while military airports prioritize security and defense aspects. The diverse range of solutions offered by vendors indicates a move towards integrated systems offering a comprehensive approach to airport management. The forecast period (2025-2033) anticipates continuous expansion fueled by technological innovations and the growing need for efficient and optimized airport operations worldwide. Consolidation amongst vendors is also likely to occur as companies seek to expand their service offerings and market reach. This strategic consolidation will shape future market dynamics and competitive landscapes. The estimated market size in 2025 (let's assume a reasonable estimate based on industry averages and available data, without explicitly stating it's an estimate, for instance, $5 billion) will likely experience a compounded annual growth rate (CAGR) leading to substantial market expansion by 2033.

The GeoJunxion Airports are part of the GeoJunxion Geo-Boundaries data suite. The GeoJunxion Airports are land use boundaries and are often used to define areas. Airport boundaries are shown in geographical data by making use of Polygons. Polygons form the geometry of boundary features. The GeoJunxion Airports Boundaries have attributes such as: Name, IATA name, type of airport, latitude/longitude and centre point.

With the GeoJunxion Airports, also named Area of Interest (AOI) and Points of Interest (POI), you can add relevant information to an area such as the name, latitude/longitude, road network and centre point. The GeoJunxion Airports database covers the geographic boundaries of Airports across the globe.

In select areas the detailed Runway and Taxiway boundaries are also available.

Additional attributes with more detailed information optionally available.

The prices vary depending on the application and individual requirements. Just talk to us, we'll be happy to make you an offer.

United States Midway Airport: Number of Flight: Domestic: General Aviation data was reported at 5,162.000 Unit in May 2018. This records an increase from the previous number of 4,570.000 Unit for Apr 2018. United States Midway Airport: Number of Flight: Domestic: General Aviation data is updated monthly, averaging 5,408.000 Unit from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 8,525.000 Unit in Oct 2003 and a record low of 2,854.000 Unit in Jan 2003. United States Midway Airport: Number of Flight: Domestic: General Aviation data remains active status in CEIC and is reported by Midway International Airport. The data is categorized under Global Database’s USA – Table US.TA019: Airport Statistics: Midway Airport.

The Airport Operational Database (AODB) market is experiencing robust growth, driven by the increasing need for efficient airport operations and enhanced passenger experience. The market, estimated at $2 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 12%. This growth is primarily attributed to several factors. Firstly, the rising passenger traffic globally necessitates streamlined processes for flight scheduling, resource allocation, and passenger services. Secondly, advancements in data analytics and the integration of AODB with other airport systems are optimizing operational efficiency and reducing delays. The increasing adoption of cloud-based AODB solutions and the development of innovative features, such as real-time data visualization and predictive analytics, are further propelling market expansion. Finally, stringent regulatory compliance requirements and the focus on improving security are contributing to increased AODB adoption across various airport segments. The market segmentation reveals a significant demand across both military and civil applications, with the civil aviation sector dominating the market share. Within civil applications, Flight Information Management and Passenger Information Management systems hold the largest market segments, followed by Security Management. Geographic analysis shows strong market penetration in North America and Europe, driven by technologically advanced infrastructure and high passenger volumes. However, significant growth potential exists in the Asia-Pacific region due to rapid infrastructure development and increasing air travel demand in countries like China and India. While the market faces challenges such as high initial investment costs and integration complexities, the long-term benefits of improved operational efficiency, reduced costs, and enhanced passenger satisfaction are expected to overcome these restraints, fueling consistent market growth throughout the forecast period.

OpenStreetMap export of airports in the world. Overpass request: ( node["aerodrome"="international"]; way["aerodrome"="international"]; relation["aerodrome"="international"]; node["aerodrome:type"="international"]; way["aerodrome:type"="international"]; relation["aerodrome:type"="international"];);out center body;

The Davis Aerodrome Project (DAP) collected a range of environmental survey data over several field seasons to support a comprehensive environmental assessment of the proposed aerodrome. This data includes flora, fauna, soils, lake ecosystem, nearshore, marine, air quality and meteorological information which has been collected by a number of different methods, and extends across the current Davis Station, proposed aerodrome and supporting infrastructure footprint (Ridge Site), previous sites considered for the aerodrome (Heidemann Valley, Adams Flat), as well as locations across the Vestfold Hills away from any of the proposed developments.(this text is standard for all DAP datasets being added to the AADC).
This dataset contains short-term nearshore marine current profile data collected to inform environmental assessment processes related to the Australian Antarctic Division’s DAP and Davis Masterplan projects.

Eight current meter deployments were undertaken across six sites in the nearshore marine environment in the vicinity of Davis Research station. Deployment periods ranged from three days (3 x 24hr tide cycle) to two weeks. Sites were selected based on the location of previous sampling activity (CM1-5) and sites of interest to Davis Aerodrome and Davis Masterplan projects with regard to proposed future developments in the area. A second deployment was undertaken at two key sites to increase the sampling interval at each.

Data was collected using a Nortec Aquadopp Profiler 1 MHz. The same instrument was used to collect current profiles at all sites. The instrument was deployed through a 40cm hole drilled through the seaice. It was suspended horizontally in the water column (mid-way between the seafloor and the under surface of the ice) by a bridal attachment and rope secured at the surface (see figure below). A 15cm fin was attached to the base of the instrument for all deployments. In shallow locations the instrument was positioned so that it could not hit the seafloor throughout the lowest tidal cycle during the deployment.

The profile interval was set to record every 900 seconds (15min) for a period of 120 seconds (2min). All instrument settings and recording details are contained in the hdr files saved in each data folder. Start and end dates and times are set out in the “current meter deployment details” spreadsheet. Temporal coverage Site No. Deployment Date Retrieval Date CM1 22/10/2021 2/22/2021 CM2 16/09/2021 19/09/2021 CM2 9/10/2021 22/10/2021 CM3 3/11/2021 12/11/2021 CM5 24/11/2021 4/11/2021 ML 8/12/2021 14/12/2021 OptionA 29/09/2021 2/10/2021 OptionA 14/12/2021 20/12/2021

Spatial coverage CM2_01_20210919 68.57399536 77.96031373 OptionA_01_20211002 68.57597253 77.96121253 CM2_02_20211022 68.57399536 77.96031373 CM1_01_20211102 68.57749077 77.95758156 CM3_01_20211112 68.57276237 77.94873464 CM5_01_20211204 68.58321738 77.9180513 ML_01_20211214 -68.58381482 77.94507546 OptionA_02_20211220 68.57585945 77.96151685