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The EU-funded project ESCAPE is part of ECMWF Scalability programme, looking at improving coding efficiency for both weather and climate modelling. ESCAPE is organising its 1st Dissemination and Training workshop between the 18th and 20th October 2016 in Elsinore, Denmark on the topic of: “Energy-efficient Scalable Algorithms for Weather- and Climate prediction: Status and Prospects”.

The workshop sessions will be organized according to the following topics (with oral presentations, including keynote speakers):

  • Introduction to the ESCAPE project
  • Weather & Climate Dwarfs – aspects and fundamental algorithmic building blocks underlying weather and climate services;
  • Diagnostic methods and tools, co-design and algorithms development for use in extreme-scale, HPC applications, minimizing time- and cost-to-solution;
  • Session for relevant EU projects involving HPC for weather, climate, ocean/sea, Earth System Modelling communities
  • Panel discussions on key issues from the workshop

1st ESCAPE Dissemination and Training Workshop.pdf

Following the previous publication concerning the main goal of the research project INnovative multi-sensor network for DEformation and Seismic Monitoring of Urban Subsidence-prone Areas – INDES MUSA, a newly implementation is performed associated with a change detection process.

The technological development in the fields of computer vision and digital photogrammetry provides new tools and automated solutions for applications in urban studies associated with urban development, 3D modelling and change detection.

In this context, numerous algorithms have been developed over the years for the automatic change detection in urban environments using high resolution digital aerial imagery as well as point clouds derived from LiDAR sensors and dense image matching techniques.

Impact

The wider scope of the automatic change detection is a research topic in over two decades. In the literature, two types of approaches called chance enhancement and from-to are proposed for the automatic change detection. The chance enhancement approach indicates only the position and the magnitude of the changes. In contrary, the from-to approach indicates not only the position and the magnitude of the changes but also its nature (e.g. building changes, vegetation changes, etc.). However, the scientific methodologies vary with the desired objects of interest (e.g. automatic building change detection) towards the challenge of the increasingly greater demands for accurate and cost effective applications.

Concept

The main goal of this research is to highlight the building and vegetation changes of the urban area of Kalochori. In this context, a spatial and multi-temporal analysis is quite capable.

Technical Details

For the epoch 1, an orthoimage (produced by high resolution RGB digital aerial imagery that derived at 11 May 2014) with a ground sample distance (GSD) of 10 cm as well as a LiDAR point cloud with a density of 4pts/m2 (derived at 2 May 2014) are used. On the other hand, for the epoch 2, an orthoimage (produced by high resolution RGB digital aerial imagery that derived at 18 November 2015) with a GSD of 10 cm as well as a point cloud produced by dense image matching techniques with a point density of 1 m are used. Sophisticated image based as well as point cloud based chance enhancement techniques were implemented to achieve accurate and reliable results.


Image based change detection results at a sub-region of the overall scene of the Kalochori urban site


The point cloud based change detection results

Contact Info

  • Contact person : Betty Charalampopoulou
  • E-mail
  • Participants in the project: GEOSYSTEMS HELLAS S.A. (coordinator) and the research institutes: EPPO-ITSAKNOAIG.

This project developed an advanced 5D Multi-Purpose LIS (Land information System), based on existing 3d packages (traded by the two participating enterprises) for integrating and managing various types of information (financial, architectural, topographical, cadastral, valuation, engineering, ownership, etc.) from governmental, regional and local databases at 3d spatial dimensions + time + scale. The system will allow representations and analysis of real estate properties and man-made features in three physical dimensions (X,Y,Z), through time (planning phase, development phase, registration phase, modification phase, and so on) and at varying scales (level of detail).

The complexity of modern urban environment requires the ability to handle a great number of various types of data “spatially”-with spatial reference and topological structure. Public demand for good urban governance (related to economy, environment, and/or social issues) and efficiency improvement has brought the need for more sophisticated Systems; as cities expand vertically a 3d topological structure of LISs (or 3d-GIS) is already used.

Impact

Urban populations are growing faster than at any moment in history. This explosion in population and density of modern cities is presenting new challenges for governments, developers, designers, citizens, and other stakeholders resulting from the massive deployment of information sources in cities around the world. The issue of adequate and affordable housing is addressed separately from general land development as there is a global understanding that market alone cannot satisfy this need and special tools and regulations need to be developed, within the free market economy, in order to ensure the sustainable development goals. In order to support the global trends in the management of land and real estate researchers are expected to provide tools that will be functional, reliable, affordable, inclusive & fit-for-purpose, capable to satisfy a world that cannot wait. 5DMupLIS is a technical tool that helps all partners involved in the management of land and real estate (governments, private sector and professionals, citizens) to implement modern policies and develop fit-for-purpose solutions for the “best use” of the urban land. Moreover, through the application for affordable housing provision, it can support self – financed, small projects for urban regeneration, creation of green public spaces within the urban neighborhoods, encourage policies to mitigate and adjust to climate change situation and most important to plan for affordable housing provision with the contribution and involvement of the private sector and the voluntary participation of the property owners.


Cesium visualization in 4D (3-D + time) using CZML and bglTF formats

Concept

The main objective of this study is to “develop an appropriate technical tool that will support land management interventions to deal with the emerging global challenges within the current international trends and the global policy framework for good land management”. This tool is expected to enable public agencies, private sector, and citizen to cooperate more efficiently together to develop the strategy, set the regulations and implement land management policies through a fit-for-purpose geospatial infrastructure, that will collect, manage and disseminate geospatial data about the ownership, use, development procedures, value of properties, and housing aspects by (i) improving access to geospatial data across agencies and removing redundancies and duplication of work, (ii) enhancing land management services and geospatial information provision and exchange between government and citizens, (iii) improving response times and reducing costs, (iv) enabling better coordination between the public and private sectors, (v) enhancing the provision and dissemination of public services by the support and the greater involvement of the private sector and the participation of citizens, and (vi) improving transparency, democracy and engagement in decision making at all levels. The above is aligned with a global need for good land management as identified and agreed by all major international organizations (e.g., International Federation of Surveyors –FIG, UN, the World Bank, etc) and is included in their studies and proposals, aiming to achieve economic


LOD3 in the future time instance (e.g., 2017)

Technical Details

To achieve this objective, the following methodology was selected:

  • a) For Identification of the global challenges and the policy framework, the potential users and their needs a technical research is made to identify and develop the best methodology for a cost-effective 3D modelling creation and updating through time. Semi-automated approaches using dense image matching (Semi-global matching technique) and Structure from Motion methods are applied for the creation of textured 3D models;
  • b) Collection of additional cadastral information about the individual units and the right holders in order first to update the administrative cadastral information in the area under study for the present time period and second to understand the duration of the existing property rights through time by introducing the 4th dimension in the cadastral database;
  • c) Additional information is added about the construction material, age, location, orientation, etc., that will allow the reliable property valuation of those units and the estimation of the value of the property of each right holder in the case study area. The final products of this procedure are the input data (the 5DMuPLIS database with geometric and attribute data) for the visualization module of the “5DMuPLIS technical tool”;
  • d) Two viewers were developed. The first viewer (KML/CZML Viewer) allows the user to interactively visualize the 5 dimensions’ data (3D+time+scale) from the 5DMuPLIS database using either Google Earth or directly in a web browser (via the Cesium 3-D globe library). The viewer currently supports four different visualization modes of the input data and is very flexible and able to provide different information and to target different applications/user needs. The second viewer (LoP5Dv) is custom made software that was developed from scratch without the use of any commercial, open source or other existing API or library.


Methodology implemented for the creation of the 3D textured models of buildings


Selective (predictive) 3D modelling architecture

Contact Info

  • Contact person: Betty Charalampopoulou
  • E-mail : mail@geosystems-hellas.gr
  • Participants in the project: GEOSYSTEMS HELLAS S.A. – GSH (coordinator), Laboratory of Photogrammetry – National Technical University of Athens (LOP/NTUA), Visual Computing Lab Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece (CERTH-ITI-VCL).

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January 2016
Start Date End Date Name Locality Country
January 15, 2016 Paris France
January 16, 2016 January 17, 2016 Reading United Kingdom
January 17, 2016 January 20, 2016 Riyadh, Saudi Arabia
January 18, 2016 January 20, 2016 London United Kingdom
January 19, 2016 January 20, 2016 Brussels Belgium
January 21, 2016 January 22, 2016 Brussels Belgium
January 25, 2016 Brussels Belgium
January 26, 2016 January 28, 2016 Ghent Belgium
January 26, 2016 January 28, 2016 Exeter United Kingdom
January 26, 2016 January 28, 2016 Ispra Italy
January 26, 2016 January 28, 2016 Ispra Italy
January 27, 2016 Los Angeles United Kingdom
February 2016
Start Date End Date Name Locality Country
February 1, 2016 February 3, 2016 Rome Italy
February 2, 2016 London United Kingdom
February 2, 2016 February 5, 2016 Nice France
February 2, 2016 February 4, 2016 Noordwijk Netherlands
February 2, 2016 February 4, 2016 The Hague Netherlands
February 4, 2016 Ottawa Canada
February 10, 2016 February 12, 2016 Amsterdam Netherlands
February 15, 2016 February 16, 2016 Rome Italy
February 23, 2016 Vien Austria
February 25, 2016 February 26, 2016 Dubai, UAE
March 2016
Start Date End Date Name Locality Country
March 1, 2016 March 3, 2016 Munich Germany
March 2, 2016 March 4, 2016 Amsterdam Netherlands
March 3, 2016 March 4, 2016 Berlin Germany
March 8, 2016 March 11, 2016 Hyderabad, India
March 14, 2016 March 16, 2016 Grenoble France
March 15, 2016 March 17, 2016 Santa Cruz de Tenerife Spain
March 15, 2016 March 17, 2016 Jakarta Indonesia
March 16, 2016 March 18, 2016 Kintex, Korea
April 2016
Start Date End Date Name Locality Country
April 4, 2016 April 8, 2016 Paphos Cyprus
April 5, 2016 April 7, 2016 Cologne Germany
April 6, 2016 April 7, 2016 Lyon France
April 7, 2016 April 8, 2016 London United Kingdom
April 7, 2016 April 8, 2016 London United Kingdom
April 7, 2016 April 8, 2016 Bremen Germany
April 11, 2016 April 14, 2016 Espoo Finland
April 11, 2016 April 15, 2016 ASPRS 2016 Annual Conference Texas USA
April 13, 2016 April 15, 2016 Moscow Russia
April 13, 2016 April 15, 2016 Moscow Russia
April 14, 2016 April 15, 2016 Noordwijk Netherlands
April 15, 2016 April 17, 2016 Wuhan China
April 17, 2016 April 22, 2016 Vienna Austria
April 17, 2016 April 22, 2016 Vienna Austria
April 20, 2016 April 22, 2016 Novosibirsk Russia
April 24, 2016 April 28, 2016 Venice Italy
April 25, 2016 April 26, 2016 Space Business 2016 London United Kingdom
April 26, 2016 April 27, 2016 Rome Italy
April 26, 2016 April 28, 2016 Paris France
April 26, 2016 April 27, 2016 Rome Italy
April 26, 2016 April 27, 2016 Laussane Switzerland
April 27, 2016 Victoria Falls, Zimbabwe
May 2016
Start Date End Date Name Locality Country
May 6, 2016 May 7, 2016 Prague Czech Rep.
May 9, 2016 May 13, 2016 Prague Czech Rep.
May 9, 2016 May 10, 2016 Montreal Canada
May 10, 2016 May 13, 2016 Prague Czech Rep.
May 10, 2016 May 13, 2016 Rotterdam Netherlands
May 11, 2016 May 13, 2016 Université de Grenoble Alpes Saint Martin d’Hères France
May 12, 2016 May 13, 2016 Rotterdam Netherlands
May 18, 2016 May 20, 2016 Lisbon Portugal
May 23, 2016 May 26, 2016 Rotterdam Netherlands
May 24, 2016 May 25, 2016 Rotterdam Netherlands
May 24, 2016 May 25, 2016 London United Kingdom
May 30, 2016 June 3, 2016 The Hague Netherlands
June 2016
Start Date End Date Name Locality Country
June 1, 2016 June 4, 2016 Berlin Germany
June 6, 2016 June 8, 2016 Los Angeles USA
June 6, 2016 June 10, 2016 Koblenz Germany
June 6, 2016 June 7, 2016 Geneva Switzerland
June 6, 2016 June 9, 2016 Amsterdam Netherlands
June 7, 2016 June 9, 2016 Noordwijk Netherlands
June 8, 2016 June 10, 2016 SPLIT Remote Sensing Summer School 2016 Athenas Greece
June 20, 2016 June 24, 2016 Bonn Germany
June 21, 2016 EARSC Cocktail : Product and European EO service of the Year Awards Brussels Belgium
June 21, 2016 June 24, 2016 Valladolid Spain
June 22, 2016 Brussels Belgium
July 2016
Start Date End Date Name Locality Country
July 9, 2016 Hamburg Germany
July 10, 2016 July 15, 2016 Beijing China
July 11, 2016 July 17, 2016 Farnborough United Kingdom
July 11, 2016 July 15, 2016 San Diego, California USA
July 12, 2016 July 19, 2016 Prague Czech Rep.
July 12, 2016 July 19, 2016 Prague Czech Rep.
July 12, 2016 July 19, 2016 Prague Czech Rep.
July 19, 2016 July 22, 2016 Kaliningrad Russia
July 30, 2016 August 7, 2016 Istanbul Turkey
August 2016
Start Date End Date Name Locality Country
August 1, 2016 August 3, 2016 New Orleans USA
August 2, 2016 August 4, 2016 Ekurhuleni South Africa
August 24, 2016 August 26, 2016 Bonn Germany
August 26, 2016 August 28, 2016 Beijing China
September 2016
Start Date End Date Name Locality Country
September 6, 2016 September 8, 2016 Frascati Italy
September 6, 2016 September 9, 2016 Brest France
September 12, 2016 September 16, 2016 Euroconsult World Satellite Business Week Paris France
September 26, 2016 September 29, 2016 Edinburgh United Kingdom
October 2016
Start Date End Date Name Locality Country
October 11, 2016 October 13, 2016 Hamburg Germany
October 12, 2016 October 14, 2016 Noordwijk Netherlands
October 18, 2016 October 20, 2016 Tunis, Tunisia
October 24, 2016 October 28, 2016 Kampala, Uganda
October 24, 2016 October 28, 2016 Kampala Uganda
November 2016
Start Date End Date Name Locality Country
November 2, 2016 November 3, 2016 Telford United Kingdom
December 2016
Start Date End Date Name Locality Country
December 22, 2016 December 23, 2016 Dubai, UAE
July 2017
Start Date End Date Name Locality Country
July 2, 2017 July 7, 2017 Washington USA

(November 10, 2015) Spacemetric has delivered a Keystone System for the KazSTSat mission being developed jointly by Surrey Satellite Technology Limited (SSTL) and Ghalam LLC of Kazakhstan. The new mission uses the new SSTL-X50 platform and builds upon heritage from the Disaster Monitoring Constellation (DMC). It includes an updated wide-swath instrument with six spectral bands and a resolution of 17.5 metres, along with several experimental payloads.

The SSTL SLIM6 sensor has been modified for the KazSTSat mission to specifications defined by DMC International Imaging Ltd (DMCii), the commercial distributor of imagery from the DMC satellites. This medium-resolution imager now provides Coastal Blue, Blue and Red-Edge channels in addition to the Red, Green and Near Infra-Red channels of the previous DMC missions. Spacemetric is responsible for physical sensor modelling of the new instrument and has incorporated this capability into the Keystone software. After launch, the sensor parameters will be refined through an in-orbit calibration

“This is a second mission for Kazakhstan that uses our Keystone software and we are thrilled to again be helping SSTL’s customers achieve their ambitions in Earth observation” commented Mikael Stern, Spacemetric’s CEO. Previously Spacemetric has delivered a ground processing and archive system for the KazEOSat-2 mission, a satellite based closely on RapidEye and developed for Kazakhstan Gharysh Sapary (KGS). Keystone operator training took place at KGS early in October 2015.

Source

(Nov 2015) First results of the “Earth Observation in support of the City Biodiversity Index” project presented at the MUAS Conference at Frascati, Italy

On 4 & 5 November 2015 Stefan Kleeschulte presented first results of the ESA Innovator project “Earth Observation in support of the City Biodiversity Index (EO4CBI) at the Mapping Urban Areas from Space Conference. The conference brought together scientists and users to present first-hand and up-to-date results of on-going research and space application development related to urban areas.

Presentation held at the MUAS conference at Rome (Italy) on 4-5 November 2015 (approx. 2MB)

(Jan 2016) The results of the EAGLE working group are now publicly available from the Copernicus land monitoring web site

The EAGLE working group is an open assembly of technical experts from different National Reference Centres (NRCs) on land cover. Its objective is the elaboration of a future-oriented conceptual solution that would support a European information capacity for land monitoring built on existing or future national data sources. The results of a framework contract coordinated by space4environment is available from the Copernicus Land Monitoring Services website

The SERTIT platform of the ICube laboratory received on November 27, 2015 at the 10th National Congress Aprovalbois in Dijon, the 1st prize Innovation Awards in the forest industry in the Innovation category based media marketing, ICT, strategy, marketing and services.

This event aims to reward companies in the north of France developing a product, a service, an organization or an innovative process in the forest industry.

SERTIT is congratulated for its project on the development of a forest inventory method using satellite images to map the chestnut in Alsace.

Press release

(November 2015) The conference offered an opportunity for Member State Administrations, EU officials, Image Providers and contractors to meet and discuss particular problems or innovations concerning the whole management of the Common Agriculture Policy (CAP) direct aids, such as controls with Remote Sensing (CwRS), Land Parcel Identification Systems (LPIS) management and quality assessment, permanent Ecological Focus Area (EFA) creation and management, and GNSS technologies in support of CAP.

The conference was held in hotel “Macedonia Palace”, attended by representatives of the JRC, MARS-unit, DG AGRI, and eGeos, European Space Imaging, representatives of OPEKEPE (GR), NEO BV (NL), RP Wales (UK), Abaco (IT), AVEPA (IT), Danish Agrifish Agency (DK), MoA (IE); Bulgarian side representatives of MAF and the Agency for Agro-Environmental Payments.

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Euronews channel: Planetek is the kind of hi-tech company wich is investing and taking benefits from the European programme Copernicus.

“Copernicus: down-to-Earth opportunities for SMEs reaching for the stars”, is the new European success story described by Euronews channel’s program ‘Business Planet’. In this issue, Anne Glémarec explored the opportunities of the European programme Copernicus and the Geospatial industry, interviewing Massimo Antoninetti, of the Italian Research Council (CNR), and Giovanni Sylos Labini, CEO of Planetek Italia.

Some 58% of the global space economy relies on satellite Earth observation data This data is available on an open basis in the EU thanks to the Copernicus Programme, as Massimo Antoninetti, of the Italian Research Council explains: “By analysing the potential impact of the Copernicus programme on the European economy, we can forecast a financial benefit of 30 billions euro and the creation of at least 50,000 jobs by 2030“, “Citizens, researchers, entrepreneurs and public authorities; this information is open to everyone. It can be useful to many business sectors, such as the oil industry, insurance and transport”.

The launch of the Copernicus Programme last year boosted the Planetek’s ambitions.

“Copernicus is very important for us because it produces more environmental data to transform into more environmental information for our customers, “ says Giovanni Sylos Labini, CEO of Planetek Italia. The open and free access to Copernicus data is guaranteed until 2034, which allows Planetek to have a long-term growth strategy. The impact promises to be spectacular. “Thanks to Copernicus, in the next 10 years Planetek Italia will be 5 to 10 times bigger than now. Today we employ 50 people, and we will employ 250 to 500 tomorrow“ adds Giovanni Sylos Labini. Planetek Italia is part of what is commonly called “the downstream industries” of space economy, which should harvest most of the economic benefit of the Copernicus programme.

Watch the Video on EURONEWS

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