The SAR Analytics Symposium will feature analytical thought leaders and provide a unique meeting place for SAR service providers and applied SAR analytics consumers.

Attendees will glean knowledge and ideas from other successful real-world analytical applications, all while sitting in the beautiful surroundings of Europe`s capital of History and Heritage, Rome. Attendance for the symposium is limited to 120 people in order to provide high-quality interaction and participation. All the programme will be presented in English language.




The free and open access to synthetic aperture radar (SAR) data from the European Space Agency`s Sentinel-1 satellite since 2014, together with the launches of an increasing number of SAR systems aboard small satellites over the past year underscores the enormous role this remote sensing technology will play in the future of Earth Observation. For established SAR consumers, as well as organizations already benefiting from remotely sensed optical data looking to add SAR derived information to their GIS, these launches serve notice that a deluge of complex new data will soon arrive, presenting many commercial and operational benefits.

As a community of users, analysts, and solution providers, we must continue to find innovative ways to collect, process, and analyze SAR data, but even more importantly to create solutions that deliver real value. The SAR analytics symposium provides the leading thought leadership venue for participants to connect with decisionmakers from across the community, explore new trends and ideas, and transform this fast-growing and dynamic technology ecosystem.

Topics will include:

  • The present and Future of spaceborne SAR
  • Leveraging SAR derived information for Environment and Agriculture
  • Detecting change over time with extreme levels of accuracy
  • Understanding infrastructure and land displacements
  • Democratization of SAR: Accessing information from SAR data trough SAR service platforms


We would like to thank the following sponsors for their support of the 2019 SAR Analytics Symposium:

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Click on a title and speaker to get a more in-depth abstract of each presentation.
Please note, agenda and speakers are subject to change.




October 9, 2019


SESSION 1 : The Present and Future of SAR from Space

Sentinel-1 is the SAR component of the Copernicus programme funded by the ESA and the European Commission. It is a constellation two satellites carrying a C-band SAR instrument. The first unit was launched in 2014 and the second two years after and are providing free and open data to tens of thousands of users. In addition to the two already flying units there are two recurrent units current in development that will provide an unprecedented continuity of measurements. The reliability of the sensor combined with an efficient data access and the quality have demonstrated to be a game changer. The stability of the observation scenario generates fast growing time series that are key for data analytics. This presentation will focus on the Sentinel-1 mission status and future plans, the ROSE-L mission under study and will show how Sentinel-1 supports the generation of added value solutions and products.

The challenge of scaling commercial remote sensing systems is bridging the gap between existing markets and new markets that not only need new solutions but process information in a unique way. Capella Space is bringing reliable and timely SAR data sets to commercial markets with unprecedented accessibility and quality. To meet new markets and customers where they are today, we will have to find ways to deliver the information embedded in our data sets in a way that is domain appropriate and operationally feasible. This presentation will be about finding the value in SAR and delivering it to the market sectors who are not yet committed users of remote sensed data, let alone SAR-enabled information streams.

The ICEYE SAR constellation makes global near realtime monitoring a reality opening up a range of new applications including: 1) Maritime domain awareness in near realtime from space enables detection of dark vessels like illegal fishing vessels, smuggling boats, sanction evading cargo or tanker ships, 2)- Monitoring flooding for insurance companies and emergency responders while the flooding is ongoing and 3) Border or asset monitoring for governments, oil & gas pipeline operators and utility companies.

PAZ is a very high-resolution SAR satellite launched in February 2018. It is owned and operated by the Spanish company Hisdesat, which in turn is responsible of the commercial exploitation.

Hisdesat offers a portfolio of value-added services in order to meet comprehensive range of user needs, both Defense and Civilian, develop versatile applications and deliver real value products in the following domains:

  • Maritime Surveillance: maritime traffic observation, vessel anomalous behavior reconnaissance, illegal fishing notification, oil spill alerts, etc.
  • Defense, Security and Intelligence: image intelligence extraction, change detection in hot-spot areas, critical infrastructures monitoring, etc.
  • Infrastructures: civil works monitoring, ground deformation measurements in urban areas and infrastructures.
  • Environmental Monitoring: surveillance of large and remote areas, monitoring of activities such as mining, urban sprawl, landing fields, etc.
  • Risks and Emergencies: pre and post disaster mapping, terrain deformation analysis in risk areas, etc.
  • Mapping: wide-areas mapping, generation of Ground Control Points (GPCs) and Digital Elevation Models (DEMs), etc.

Additionally, PAZ is the first radar satellite to incorporate on-board an AIS (Automatic Identification System) receptor, which provides valuable information to fuse with PAZ radar data and generate maritime security services.

PAZ jointly operates in constellation with TerraSAR-X and TanDEM-X satellites from Airbus, positioned in the same orbit and features identical ground swaths and acquisition modes, enabling a shorter revisit time and larger imaging capacity.

SESSION 2 : Utilizing SAR derived information for Agriculture and Fishing

As a result from successful precursor studies for grassland monitoring using synthetic aperture radar (SAR) data, an operational approach was launched for monitoring the territory of the Federal State of Bavaria, Germany. Developments were initiated to integrate Sentinel-1 SLCs (Single Look Complex) data in VV/VH polarization at a high temporal sampling by applying statistical time series analysis and machine learning techniques with the objective to apply yield modelling techniques for additional crops.

Our monitoring concept addresses the derivation of grassland yield information on a field level. Representative field boundaries are derived from the Integrated Administrative and Control Systems (IACS), whereas the estimate for Grassland yield is generated from multi-temporal SAR-based detection of mowing/cut frequencies over the vegetation period and subsequent yield modeling.

Time series analysis like change detection is applied on a field/parcel base considering also the derivation of cutting dates/frequencies and refining the results by applying machine learning approaches.

Finally, cutting dates and frequencies are optimized using auxiliary data products of the Radar Online Adjustment (RADOLAN) for removal of false alarms and Sentinel-2 for generation of NDVIs to perform plausibility assessments throughout the vegetation cycle. Furhtermore, 4 in-situ areas were selected for image calibration and validation of the results.

Governmental Rice statistic departments require, during the crop season, the effective rice cultivated area and the corresponding yield. Remote sensing time-series are exploited on the one hand to estimate the rice cultivated area, on the other hand to provide key parameters needed as input into the agrometeorological model. Moreover, the systematic satellite observation throughout the season allows assessing damages due to meteorological events (e.g. floods and drought), which often occur during the crop season. Companies involved in Forest Certification require precise information on forest boundaries as well as the identification of very specific land cover classes. Timing is an essential aspect to characterize changes occurring due to natural or man-driven events (e.g. fires and clear-cuts), which cause damages in the forest and, ultimately, a measurable tree cover loss. The synergistic use of time-series data allows providing such information in an accurate, updated and unbiased manner.

Illegal, Unreported and Unregulated (IUU) Fishing is estimated to cost the global economy in excess of $23 billion annually or about 20%-30% of the global fish catch depending on the market. Due to the remote areas where IUU Fishing is occurring traditional shore based detection and monitoring techniques are not effective. Maxar provides a unique space-based offering that combats IUU Fishing through the use of SAR imagery and advanced analytics that is making measurable impacts. This presentation will show the current state of the art of SAR imagery interpretation for detection, classification and monitoring of vessels. Further this presentation will provide insight on how Maxar’s investments in radar analytics, multi-source and next generation data access will enable our customers to better address their most difficult challenges in the maritime monitoring industry.

The massive streams of high resolution EO data derived from the EU Copernicus sensors have established Europe as the pre-dominant spatial data provider for use in global environmental monitoring applications. These data are made available under a full, free and open license with an unprecedented frequency and spatial extent. The availability of these new data sources is leading to a shift in processing requirements for their integration in a wide range of science and monitoring applications spanning regional to continental scales. The data use requirements in agriculture, covering daily to weekly information on crop canopy and soil status, is closely matched by the Copernicus high resolution (10 m) sensors Sentinel-1 and -2. Since SAR is not sensitive to cloud cover, it outperforms Sentinel-2 in time series consistency, and, thus, becomes the reference instrument for agricultural use cases. At the same time, data use can be scaled from the traditional per scene analysis to deep time series stack for complete (national) territory. The latter requires a serious processing effort that rely on modern cloud solutions that are closely coupled to the large Sentinel data stores, organised with optimized storage formats that allow massive parallel distributed execution of sophisticated image processing algorithms, in batch and interactive use modes. The presentation provides a short overview of current processing solutions, such as the Copernicus Data and Information Access Services (DIAS) and Google Earth Engine. The focus, however, will be on the information that can be extracted from (Sentinel-1) images, in particular in the context of the European Common Agricultural Policy monitoring. This includes time series analysis ("markers"), including machine learning approaches, for crop type recognition and detection of specific phenology events and agricultural management practices.

The prediction of potential soil moisture as description of the trafficability of agricultural plots is the main objective of a research project funded by the German Ministry of Agriculture in the context of the COP 21. Information about the trafficability of agricultural plots is crucial for many issues in the context of soil cultivation like tillage, the application of manure, the harvest and so on to avoid damages by unwanted soil compaction.

We will publish these map service on digital portals like the Digital Agrarportal in Rhineland Palatinate, Germany, so farmers easily can use these map services.

Our soil moisture estimation makes use of simulation models based on real time weather data, high resolution soil data and in situ soil samples from comprehensive ground truth campaigns on selected sites. This approach will be combined with analyses of Sentinel 1 C-Band Radar data. Various coherence and backscatter products created form Sentinel 1 SLC data where evaluated for their applicability for the classification of soil moisture in the upper soil layer. An automated workflow for pre and postprocessing on IDL and SarScape will be established to the needs in this context.




October 10, 2019


SESSION 3 : SAR information based Services to Monitor Infrastructure

During the last two decades, results obtained by processing multi-temporal SAR data acquired by different satellite sensors have shown their potential for different applications. Radar interferometry (InSAR) has proven to be effective in measuring surface deformation phenomena, with precision up to 1 mm, while change detection algorithms applied to multi- temporal SAR data have shown how simple and effective can be their use in many different projects. Based on our experience, we can highlight some key points for a wide acceptance of multi-temporal SAR data, namely: (1) regular acquisition of radar data over large areas using the same acquisition geometry; (2) use of advanced processing algorithms based on more than two images; (3) access to significant processing power. In this speech, we will focus on oil&gas applications and will show how all these constraints have been overcome thanks to the recent advances in SAR data processing, the advent of cloud computing and the launch of new satellite platforms, specifically designed for InSAR analysis.

Learn more about the advantages of radar image acquisition in a unique constellation: TerraSAR-X, TanDEM-X & PAZ. Near real-time, highly accurate and reliable Earth observation – independent of weather and daylight conditions. The presentation presents quantitative and qualitative analytics techniques applied on high resolution SAR data. Featured applications include monitoring of surface movement, automatic object detection and derivation of precise ground control points.

Movement of the earth's surface can cause damage and can be an independent measure for subsurface management. The remote sensing community knows well that SAR data are able to yield surface motions with high precision. SAR data can provide very valuable information for companies and public administrations. However, do they realize that? Moreover, if they realize it in principle, can they correctly assess the opportunities and limitations in their specific applications? At the time being, are there huge numbers of tailor-made tenders for SAR-applications in the day-to-day business of companies and public administrations expectable? In the framework of the SAR based German Ground Motion Service (BBD) methodological competence to exploit SAR-data information is spread to experienced geoscientists, mining engineers and land surveyors of state public bodies to scrutinize Sentinel-1 SAR results. Capacities to apply SAR data are also build through applications in German partner countries.

The ground deformation services by TRIGIS GeoServices GmbH offer precise ground motion time series information with an accuracy of 1-2 millimetre per year. The technique of radar interferome-try (InSAR) allows the analysis of the spatial distribution of ground deformations on various scales from a country wide monitoring with medium resolution data up to a focused monitoring of single buildings/infrastructure using high resolution data. Due to the availability of archived radar imagery, a retrospective deformation analysis can be carried out from 1992 onwards. For ongoing monitoring services, TRIGIS uses all available sensor platforms, depending on the specific requirements and issues of each project. The Persistent Scatterer Interferometry (PSI) for the point-wise monitoring and the Small Baseline Interferometry (SBAS) for an area-wide analysis are both combined to de-liver state of the art services for clients in the energy sector, administrations and engineering companies.

The presentation will give an overview of projects in which the InSAR-services were a source of crucial information for the understanding of deformation processes.

The Brumadinho mine complex, located south west of Belo Horizonte, Brasil, has become sadly popular for the dramatic disaster of a tailing dam collapse, Córrego do Feijão, that occurred on 25 January 2019. The dam collapse caused a catastrophic mud flood, involving 12 million cubic meters of released mud and causing more than 200 confirmed deaths. This work aims to shed new lights on possible precursory deformations affecting the tailing dam. Space-borne Synthetic Aperture Radar (SAR) Sentinel-1 and COSMO-SkyMed acquisitions have been analyzed through multi-temporal differential interferometric techniques, the Small-Baseline Subset (SBAS). The great potential of these remote sensing techniques is due to the availability of large data archives and the capability to retrieve displacement with millimeter accuracy. Analyses of results could demonstrate the importance of these techniques on mining monitoring practices. Moreover, this case can help illustrating the potential and limitations of this technique, highlighting the prerogative of several SAR sensors working with different wavelengths and resolutions and discussing the applicability to other contexts.

Radar satellite interferometry (InSAR) is a non-invasive surveying technique based on the exploitation of SAR images, able to measure millimetric motion of terrain structures over wide areas in both urban and non-urban environments. Sixense processing chain, ATLAS, has been successfully used to detect and monitor ground motion in many different projects, cities and sectors to follow subsidence, heave, building stability and landslides amongst others. ATLAS reaches high density of measurement points, and covers large areas with high-resolution imagery, and weekly revisits. This presents a huge opportunity for the monitoring and management of infrastructures. However, the unprecedent spatial and temporal volume of InSAR measurements- which are only going to increase with new sensors to come- presents a challenge. Thus, ATLAS is in continuous development to efficiently extract characterized information of maximum benefit to end users by implementing different algorithms and AI methodologies over InSAR Big Data results to provide ready-to-use, actionable information. Different application cases of the ATLAS monitoring in different scenarios will be presented in the field of civil engineering: from ATLAS extended areas results to a local asset focused solution to provide ready-to-use friendly-user information in the ATLAS GIS web platform.

Safeguarding cultural heritage has become a central topic both in National and European strategies; in particular, in consideration of the high number of Italian cultural properties and their distribution on the territory (for instance, there are 54 UNESCO sites, equal to the 5% of the worldwide heritage and 11% of the European heritage), a systemic and capillary approach has been considered necessary by some Italian cultural property managers to support activities of conservation, preservation and use. In addition to the huge number of cultural sites, Italy has to face threats related to both natural and anthropic activities, potentially having significant impact on ancient/historic properties, already fragile due to their intrinsic delicate nature. To meet properties managers’ needs, a commercial initiative, St’ART, offers solutions for the monitoring of cultural properties by using non-destructive approaches derived from the use of data coming from satellites (SAR, multispectral), UAV systems and on-site sensors (according to the type of analysis requested), results of which are simplified and made easily readable and available to users on a web platform, provided with a GIS tool for the visualisation of geo-spatial information. In order to map and monitor natural threats that could cause the partial or the total loss of the cultural properties, SAR applications performed in St’ART were experimented over different cultural assets (going from archaeological sites to historic centres). Each one of the monitored sites (Civita di Bagnoregio, Baia, Villa Adriana) are affected by different natural hazards such as, respectively, landslides, bradyseism and subsidence. Monitoring services were set up in order to monitor, for a period spanning from 2013 to 2018 the above-mentioned terrain movements.

Open-source researchers in the WMD nonproliferation field consistently use optical imagery to analyze sites of interest. We have the ability to monitor site construction and development, identify changes and levels of activity, explore site history, and confirm the location of relevant ground imagery. However, optical imagery has limitations – cloud cover or infrequent collection can mean loss of data for significant periods of time. Radar-based data circumvents these obstacles and can help fill in the gaps in optical imagery.

If optical imagery is considered the default option for imagery analysis, SAR data is sometimes erroneously relegated to the category of an “added bonus” or an “extra” – if its acquisition is not possible for one reason or another, it is often not considered to be a significant information loss. Instead, regular use of SAR data should be considered a failsafe, catch-all imagery solution that is critical to continuously and thoroughly monitor covert proliferation activities because it defies the conventional limits of optical imagery. Beyond this, SAR can also characterize minute levels of change and portray these in a quantifiable, deliverable fashion.L

This presentation will use two case studies that illustrate the benefits of SAR imagery utilization in open-source nonproliferation research. The first case study overviews the use of SAR on the Punggye-ri nuclear test site in North Korea. Interferometric SAR was particularly useful in detecting subsidence in the mountain after its latest and largest nuclear test in September 2017. In this case, InSAR augmented other sources of open-source information, like seismic data and state media reports, to confirm nuclear testing, and provided compelling evidence that cued further investigation and analysis into the site: a methodological example clearly transferable to future work.

The second case study will use SAR imagery to analyze the Al Kibar nuclear reactor site near Deir Alzour in the Syrian Arab Republic, and demonstrate that the insights derived from traditional optical satellite imagery analysis can be augmented with SAR. Initial implementation SAR into open-source analysis of the site could have helped prevent the rapid spread of misinformation in the aftermath of its bombing, and more concrete evidence of covert activity could have been elucidated and highlighted in the open-source, which in turn could have been useful to those in leadership and decision-making capacities.

SESSION 4 : Leveraging SAR derived information for the Environment

With the trend in coastal urbanisation and the foreseen growth in aquaculture required to sustain an increasing population, new opportunities for applying Earth Observation in the maritime area are emerging. SAR system development trends are moving towards increased maritime use with specific ocean surveillance modes and on-board AIS, yet the acquisition strategies have not progressed sufficiently to address the user communities’ needs. In order to meet the future analysis requirements of open-ocean industries, the current land-based focus of SAR system design must be challenged. Evidence for the impact of the current observation scenarios is drawn from three recent SCISYS projects in the maritime area: - Characterisation of the behaviour of maritime traffic which allows an understanding of congested routes and the behaviours of different classes of vessels within a region. - Detection of IUU fishing in British Overseas Territories to protect MPAs and the economic interests of the OTs. - An investigation into EO based services for aquaculture. Addressing topics such as the lack of open-ocean coverage, polarisation, the trade-off between coverage and resolution, and the collection frequency, this presentation identifies the gaps that need to be addressed in order to maximise the utility and scalability of SAR maritime analytics.

In the offshore context, natural hydrocarbon leakages move and rise through the water column, then are deposited on the sea surface. Those slicks with a low roughness can be detected by SAR satellite imagery.

In the present use case, GEOESPACE used a multi-temporal approach enhanced by the sentinel-1 data and Copernicus Marine Environment Monitoring Services products and correlated the results with geological data.

To provide the best possible service GEOESPACE has developed his own algorithms to:

  • Create the right data set in this ocean of data
  • Highlight and minimize impact of lookalikes: pollution, atmospheric, oceanic, biological artefacts or disturbances

This service will be illustrated thanks to a practical example in Mediterranean Sea which will highlight two potential areas of natural hydrocarbon leakages.

The world is permanently changing. Many changes are the result of human activities and impact our daily lives. It gets more and more important to understand and monitor these changes and earth observation systems can help to monitor many of these. Change information is important to many different groups: governments and governmental authorities, NGOs, environmental organisations, different industries and organisations.

In the past years remote sensing has been playing a growing role in order to support business intelligence analysis. The weather and daytime independent SAR sensors provide the capability to monitor sites continuously and reliably. Furthermore, new SAR sensors provide data of up to 0,5 m resolution which allows an easier visual interpretation of the imagery.

This presentation will give an overview of SAR-based change detection information for business intelligence applications. Technologies like bi-temporal and multi-temporal monitoring will be presented.

The use of SAR data integrated with surface and subsurface data allows the monitoring of areas affected by landslides as well as areas affected by sinking and subsidence (sinkhole) phenomena. The use of instruments with active sensors (eg: radars), allows to identify the movements of the ground that allow to determine the phenomena of hydrogeological instability. The use of satellite radar data as an operational tool for the identification and characterization of landslides, allows the development of activities aimed at decreasing the impact of landslides on the population and on the territory. The satellite radar data allow to identify also localized mass movements not strictly connected to rainfall events. Therefore their use allows the development of a satellite monitoring system that uses remote-sensed radar and optical data, for the identification, mapping and interpretation of mass movements located in areas with high hydrogeological risk. The Geological Department of ARPA Sardegna is applying this experimental model in the pilot area of the Riu Mannu Hydrographic Basin of Sassari. The area was chosen because it is considered representative for the availability and quality of the available data that allow the optimal application of the Interferometric methodology on different situations and consequently its replicability in different areas of the region.

Floods are the most frequent weather disasters in the world and the costliest in terms of economic losses. Mapping flood extension in near real-time is fundamental to ascertain the damage and to provide critical information for evidence-based decision making by relief organizations and re-insurers. A myriad of activities have been implemented at global, regional and local level to mitigate the impact of the increasing frequency and intensity of floods. The implementation of an effective Disaster Risk Management plan and, in particular, the rapid response by the risk financing industry in the wake of a natural disaster requires a good situational awareness and precise and up-to-date mapping affected areas.

Spaceborne SARs represent an effective quasi-continuous data source for monitoring floods because of their all-weather capability, the very high spatial resolution and the short revisit time of present satellite constellations. Moreover, a new generation of SAR satellite missions provides an unprecedented possibility to develop automatic algorithms enabling the detection of floodwater in urban areas. These recent advances pave the way for an improved monitoring of flood risk. Here, near real time SAR-based services enabling the delivery of essential information for evaluating the status of flood preparedness and rapidly assessing losses are presented.

SESSION 5 : SAR Services and Platforms

Transforming SAR data into information is a hard job in itself but translating that information into knowledge is even more challenging. And yet that is still just the beginning of the process of delivering a SAR analytics as a service. Serving a group of end-users with SAR Services often requires the use of a set of technologies that are not a core component to SAR Analytics. cloudeo has developed solutions to help you to streamline the process of transforming SAR Analytics into services that can be accessed by a wider audience or can enable end-users to consume SAR services at affordable cost. This presentation will present an example of such a process from analytics to service.

Open geospatial data has propelled us into a new era for innovative geospatial applications and algorithms in a global effort to answer societies most important questions, improve business efficiency and discover new market opportunities. This era calls forth the development of data-intensive platforms for the efficient and effective extraction of information in an environment that harbors the intersectional use of data. The UP42 platform expedites the transformation of data into insights faster than ever before by leveraging state of the art technologies like cloud computing, containerization and deep learning. In this presentation, we will elucidate practical examples of how large amounts of SAR imagery can be processed in parallel on the UP42 platform. One example will showcase rapid processing of hundreds of Sentinel-1 images and processing capabilities of ESA's SNAP toolbox . We will also outline how pairing this data with other datasets on our platform can help build actionable insights ready for market consumption.

ONDA is the EU funded DIAS (Data and Information Access Service) led by Serco Italia that brings together data and information close to processing facilities in a cloud-based environment. The platform provides a new way to process massive amount of data from different sources and to apply analytics that lead to the development of tailored EO value added products.

The whole archive of Sentinel-1 products as well as ENVISAT ASAR are available. Complemented by optical datasets, ONDA gives free access to multi petabyte of data worldwide. VHR SAR and optical data are also commercially available to offer a larger range of spatial and spectral resolution. Today the platform has more than 1000 registered users and is close to support more than 100 applications, from Research and Development to commercial services. CNR IREA is one of these users.

The application presented by CNR IREA studies the temporal evolution of ground deformation over large portion of the Earth surface. DInSAR analysis is performed at continental scale to monitor surface deformation and estimate the corresponding deformation velocity. 72000 S1 products (IWS) for an area of more than 4.5 million sqkm are analysed, demonstrating the suitability of ONDA for big data application.




Stay at the five star

Radisson Blu es. Hotel, Rome


The SAR Analytics Symposium will be held at The Radisson Blu Hotel in central Rome. The The Radisson Blu is a contemporary 5 Star hotel, built in 2002 in the heart of Rome and it is the first hotel to feature modern Italian design in the heart of late 19th century Umbertine Rome. When construction of the hotel began, remains of an Ancient Roman road were unearthed so architects Jeremy King and Riccardo Roselli altered the original design to include the archaeological finding within the hotel: The Radisson Blu is a place where ancient history meets the contemporary concept of hospitality and accommodation. Conference hospitality, including coffee breaks, lunch, an evening cocktail reception and a 3 course dinner in the rooftop restaurant will be all included with the delegate fee, so make sure you book your room at the Radisson Blu Hotel too.

Discounted rates are available for the SAR Analytics Symposium through September 15, 2019. Click here and use the promotional code HARRIS in the special rates drop down list. To book a room with double bed, select twin room and add “please assign double room” in the comments field.


Travel from Rome–Fiumicino ("Leonardo da Vinci") International Airport

The Leonardo Express non-stop train, departing every 15 minutes from platforms 23 and 24, connects the Fiumicino Airport to the city center.

The journey takes 30 minutes and all trains are equipped with dedicated seating and restrooms for passengers with reduced mobility. One-way tickets cost 14€. For updated ticket prices and departure times, please see the Leonardo Express website.


When you arrive at Rome Termini Train Station, follow the signs for platform 25 to 27 and head down the stairs on the left, cross the street and you will arrive at the hotel.