lidar

Blom signs a strategically important contract to supply high accuracy LiDAR data and flood models for the French National Institute of Geographic and Forest Information (IGN).

 

Blom CGR France, Blom’s subsidiary in France, has signed a contract with IGN, the French National Geographic and Forestry Information Institute, for an airborne LiDAR (Light Detection and Ranging) survey and production of flood models in the south of France. This is a huge project for IGN and will cover all areas at risk from flooding. Blom’s data acquisition will start imminently and the project will be completed within one year.

Blom is proud to have been awarded this contract after a very demanding European tender process. “This contract is the third recent collaboration between Blom and IGN, proving IGN's belief in Blom's experience and commitment to deliver” commented Didier Mendel, Managing Director of Blom CGR France.

Flooding is a natural disaster that seems to be increasing in both occurrence and its impact on us. Each flood can put at risk homes, infrastructure and more importantly, lives. Last year areas in France saw devastating floods that were the worst since 1827. It is reassuring that flooding and its consequences now can be monitored, and the water flow can be predicted. Airborne LiDAR technology provides altitude data with an accuracy that can reach up to 10 cm on bare soil, providing an effective and low cost method to use when surveys of large geographical areas are required. These factors result in LiDAR being the best technology to use for flood risk mapping.

Producing flood models of areas at risk of flooding is part of an ambitious governmental project for improving the altimetric data base (RGE Alti) of the whole of France during the period 2010-2013.

This strategic contract award has been achieved as a result of Blom’s unique skills base and a wealth of experience within LiDAR technology, which has given us a leading position in this market.”, comments Giovanni Banchini, CEO of Blom CGR.

Blom is able to provide a complete airborne solution, combining laser scanning with aerial imagery. The laser scanner gathers accurate data for terrain modelling while the digital camera provides imagery for quality control of the LiDAR point cloud. The imagery is also used to produce orthophotos over the area, providing IGN with a compelling solution to aide their flood mapping campaign.

 

For further information please contact:

Didier Mendel, Managing Director, Blom France & BeLux

Tel: +33 699 072 167

Email: [email protected]

About BLOM

Blom is a leading European service provider within acquisition, processing and modelling of geographic information. Blom maintains unique European databases with collections of map, images and models. With particular focus on online services, Blom provides data and solutions to customers in government, enterprise and consumer markets and enables partners to create applications using Blom’s databases, location based services and navigation solution. Blom has more than 900 employees and offices in 16 countries. The company headquarter is located in Oslo, Norway. Blom is listed on the Oslo Stock Exchange (ticker BLO). For more information, visit www.blomasa.com

IGN

IGN’s key missions are to produce, maintain and disseminate reference geographic and forest information in France. Heir to a long line of cartographers, IGN has been involved in all cartography-related operations in France and its territories, since 1940. For more information, visit http://www.ign.fr

Independent evaluation show benefits of SCALGO Flash Flood Mapping

At the recent Florida Floodplain Managers Association Annual Conference the engineering and environmental sciences consulting firm Jones Edmunds & Associates presented an evaluation of the SCALGO Flash Flood Mapping product. Using a detailed terrain model, SCALGO Flash Flood Mapping can be used to rapidly assess flood risk during extreme rain events on a local, regional or even national scale. Jones Edmunds compared SCALGO Flash Flood Mapping with the results of a recently completed Jones Edmunds flood study in Marion County, Florida, based on an advanced dynamic model (ICPR) used by the Florida authorities and listed by Federal Emergency Management Agency (FEMA) as a nationally accepted hydraulic model. They found that despite a cost of under 5% and a significantly reduced production time, the Flash Flood Mapping results were close to the results of the advanced modelling and the same time significantly more detailed. Another main conclusion was that SCALGO Flash Flood Mapping is a very cost efficient way of screening large areas for high flood-risk areas where very detailed dynamic modelling is justified.

SCALGO Flash Flood Mapping show how much rain has to fall during an extreme rain event before any given cell of a detailed (LiDAR based) raster terrain model is below water. Consequently, the mapping can be easily used to compute what part of each depression is below water after a given amount of rain, and thus effectively shows how water collects in depressions for all possible amounts of rain. The SCALGO Flash Flood Mapping product is being offered as a computation service. Based on the service and its national LIDAR-based terrain model, the major Danish engineering, environmental science and economics consulting company COWI has already successfully launched a new flash flood map product in Denmark, which is being used by several local governments as well as one of the five regional governments in Denmark (covering approximately 13.000 km²).

Information about SCALGO technology, products and services can be found at http://scalgo.com
Future information about SCALGO products and services can be received directly by signing up to the newsletter at http://scalgo.com/mailing_list.php.

Scalable Algorithmics (SCALGO) was founded in 2009 with the mission to bring cutting-edge massive terrain data processing technology to market. The SCALGO technology is based on more than two decades of basic and applied research on I/O-efficient and geometric algorithms at Center for Massive Data Algorithmics (MADALGO) at Aarhus University in Denmark and at Duke University in the US, in collaboration with industry LiDAR and environmental GIS application experts. Software based on the technology can handle much larger terrain data sets on a normal desktop than most current software and thus it eliminates the need for accuracy-decreasing data thinning. The use of novel mathematical and algorithmic techniques also means that the software works provably efficient on all input data sets, delivering a completely specified output without the use of cumbersome work-flows such as those introduced by data tiling. SCALGO is involved in multiple research projects and offer special pricing for academic institutions.

 

Illustration of SCALGO Flash Flood Mapping used to show parts of the terrain below water for 50mm (red), 100mm (yellow) and 150mm (blue) of rain, respectively. Map data ©2011 Google Imagery ©2011 COWI A/S, DDO, DigitalGlobe, GeoEye, Scankort.

 

Flash Flood Mapping example

Orbit AIM sneak preview at ASPRS

Orbit AIM sneak preview at ASPRS

Lokeren, Belgium, March 21st, 2012.

Orbit GeoSpatial Technologies announces a sneak preview of the Asset Inventory Management product at ASPRS, Sacramento.

Orbit GT today announces that the upcoming release of Orbit’s Asset Inventory Management solution for Mobile Mapping will be showcased at the ASPRS convention in Sacramanto, CA, this week.  The sneak preview will be hosted at the Topcon booth.

“We are pleased to present a sneak preview of Orbit AIM at the Topcon booth”, says Peter Bonne, VP Business Development and Senior Product Manager at Orbit GT.  “We’ve been working hard on supporting really huge point clouds and this is a first presentation of our new release, due out in the next few weeks.  This update will give access to mobile mapping content, both imagery and point cloud, to the many.”

About Orbit GeoSpatial Technologies

Orbit Geospatial Technologies (Orbit GT) is located in Lokeren, Belgium, and operated since 1972 until 2010 under the name of Eurotronics.  Privately owned, Orbit GT has developed high level and multi-platform GIS solutions gaining market leadership in government, public safety and mapping industry businesses. 

For more information, please contact

Mr. Peter Bonne
VP Business Development
Orbit GeoSpatial Technologies
Industriepark E17, 2021
9160 Lokeren
Belgium
Phone     +32 9 340 5757
Fax           +32 9 340 5750

www.orbitgis.com

Mapping your solar potential...

Bristol City Council have now gone 'live' and published an online map highlighting potential untapped revenue across the region. The map, freely available on the council's website, shows the expected solar power generation if PV panels were fitted to building rooftops throughout Bristol.

Produced in part by leading aerial survey specialist Blom, a map on this scale is the first of its kind in the UK, and was funded as part of a government grant.

Nearly a quarter of a million buildings have been assessed, with a surprising third of these understood to be suitable to take advantage of the Government's Feed-in Tariff scheme. It is hoped that it will encourage residents and businesses to invest into solar energy and further boost Bristol's credentials as a leading 'Green City'.

Council Leader Barbara Janke said: 'This is another example of Bristol leading the way on the green agenda. Were the first local authority to produce a solar map, the first to be building our own wind turbines and the first local authority outside London to be setting up our own energy services company.

The work we've done on the solar map pulls together a full picture of the city's solar potential. Anyone who lives in Bristol who is thinking about the possibility of installing solar electric or hot water panels can use this map quickly and easily to find out whether it's going to be viable for them.'

Blom have always enjoyed a successful working relationship with Bristol City Council, and have previously awarded them an Ordnance Survey 'Innovation Award' for the use and integration of Blom's oblique aerial photography; BlomOBLIQUE.

'With the data now published the technology behind it has faced the first 'acid test,' and has been proven to work. Interestingly, it shows that the government's previous methodology underestimated the solar potential of Bristol by approximately 75%. We're keen to show councils across the UK just how much untapped potential there may be in their region and, with our recently captured off-the-shelf libraries, the proposition is more cost-effective than ever.' said Andy Fleetwood, Business Development Executive for Blom UK.

For further information on Blom's solar potential surveys please contact Andy Fleetwood on [email protected]

 

Batch Geonews: StreetView now in Russia, Should GIS Users Code?, ArcGIS 10.1 Enhancements, and much more

Here's the recent geonews in batch mode. My challenge in life is to find out what not to do - too much enthusiasm impacts focus. But don't worry, I'm not dropping Slashgeo just yet ;-)

From the open source and open data front:

From the Google front:

From the Esri front:

From the Microsoft front:

In the miscellaneous category:

In the maps category:

BLOM LAUNCHES V3.2 OF BLOMDESKTOP VIEWER™

 

Blom announces the release of version 3.2 of the BlomDESKTOP Viewer, desktop application for geospatial data, with enhanced features and a collection of new functionalities, tools and datasets.

The main features of this new version of BlomDESKTOP Viewer are based on enhancing the user experience with new datasets such as the spherical imagery of BlomSTREET™ and high resolution LiDAR models.

To enhance the capability of the BlomSTREET product, BlomDESKTOP Viewer 3.2 now provides a complete integration with the Cyclomedia API offering full measurement capabilities of points, lines, heights, areas and volumes as well as year filtering, export, print and vector reprojection capabilities. New BlomSTREET datasets are also being added to our catalogue.

 

BlomSTREET datasets viewed within BlomDESKTOP

BlomDESKTOP Viewer LiDAR features have been developed to allow our users to work with continuous LiDAR models online, retrieving new data from the servers as needed and minimizing the needs to manually load new areas when moving to different sections of terrain. A powerful terrain profile tool is also included. It is now possible to define terrain profiles over the maps or imagery and extract the data from the LiDAR datasets to perform on-the-fly detailed measures of objects, making BlomDESKTOP Viewer and invaluable tool for utilities and forestry companies among others.

 

LiDAR dataset and profile extraction

Featuring additional enhancements to the user interface (help messages, tooltips, north compass, metadata information on-screen…) and performance, there is also a new, powerful way of geocoding address points using locally stored shapefiles. This includes the ability for the user to define fields to be used in the geocoding process.

BlomDESKTOP Viewer continues providing a complete showcase of Blom online geoservers capabilities, BlomURBEX™ and BlomURBEX 3D™, in terms of functionality and available datasets, including access to third party geospatial data from Blom partners and Blom’s unique database of BlomORTHO™, BlomOBLIQUE™ and Blom3D™ datasets.

Applications for BlomDESKTOP Viewer are vast, from exporting imagery for evidence reports or presentations, to use as an asset management tool. The software can be easily used throughout an organization with minimal installation effort and a small amount of training time.

BlomDESKTOP Viewer will update itself to version 3.2 when launched. If you do not have the application installed yet, contact your local Blom representatives to provide you a license for the application.

About Blom
The Blom Group is the largest provider of geospatial services in Europe for both government agencies and private commercial organizations and companies. Blom owns exclusive spatial databases composed of maps, images and 3D models. Focused on online services, Blom provides data and solutions to its customers in many markets and allows its partners to create high added-value applications based on Blom data models and services. This strategy is backed by Blom’s major technical capacity in aircrafts, cameras, laser scanners and mapping systems. This makes it possible for all projects to be carried out within the company, assuring a high quality product is delivered both on-time and to budget. Blom has more than 1,000 employees and offices in 13 countries and its HQ is located in Oslo, Norway. Blom is listed on the Oslo Stock Exchange (ticker BLO). For more information, visit www.blomasa.com

Danish government launches nation-wide sea-level rise flooding tool based on SCALGO computations

At a flooding conference in the Danish Parliament on February 3 the Danish Minister for the Environment launched a new nation-wide online interactive tool that maps the risk of flooding in Denmark due to rising sea-levels. The tool visualizes the flooded area for a (user-) given sea-level rise, and is part of the national climate change adaptation portal (klimatilpasning.dk/en-us) available to government specialist, as well as ordinary citizens. It is made possible by a computation performed by SCALGO on a very accurate 1.6 meter resolution raster terrain model for the entire country of Denmark. The detailed and thus massive model contains more than 20 billion cells. It was vital for the accuracy of the sea-level rise flooding tool that such a high quality model was used, since it ensured that dikes and other important features with small spatial extent were taken into account.

The SCALGO technology for processing massive terrain data on normal desktop computers was essential for the computation behind the sea-level rise flooding tool. Using the SCALGO Hydrology software package the computation can be performed on the entire model of Denmark (without thinning or tiling) in approximately a day and a half on a normal desktop computer with 4GB of main memory. Apart from a module for the sea-level rise flood mapping, the package also includes modules for computing flow accumulation, watersheds, and bluespots (maximal depressions). SCALGO also offers more advanced hydrological analysis computation services using in-house software, including the SCALGO Flash Flood Mapping product, which estimates the risk of flooding during extreme rain events. The mapping shows how much rain has to fall before any given cell of a detailed raster terrain is below water, and thus it also shows what part of the terrain is below water after a given amount of rain.

Information about SCALGO technology, products and services can be found at http://scalgo.com.
Future information about SCALGO products and services can be received directly by signing up to the mailing list a http://scalgo.com/mailing_list.php.

Scalable Algorithmics (SCALGO) was founded in 2009 with the mission to bring cutting-edge massive terrain data processing technology to market. The SCALGO technology is based on more than two decades of basic and applied research on I/O-efficient and geometric algorithms at Center for Massive Data Algorithmics (MADALGO) at Aarhus University in Denmark and at Duke University in the US, in collaboration with industry LiDAR and environmental GIS application experts. Software based on the technology can handle much larger terrain data sets on a normal desktop than most current software and thus it eliminates the need for accuracy-decreasing data thinning. The use of novel mathematical and algorithmic techniques also means that the software works provably efficient on all input data sets, delivering a completely specified output without the use of cumbersome work-flows such as those introduced by data tiling.

SCALGO Announces ArcGIS Support and new Flash Flood Mapping Product

SCALGO has released version 1.1 of the software packages SCALGO Model, SCALGO Hydrology and SCALGO Simplify, which can be used to process massive terrain data sets (tens of billions data elements) on a normal desktop computer. One major new feature in version 1.1 is ArcGIS support. All SCALGO software modules can now be run from within ArcGIS, and can be combined with existing ArcGIS tools into complicated and scalable production pipelines using ArcGIS ModelBuilder. SCALGO Model can be used to construct raster and TIN terrain models from massive terrain points (such as LiDAR), as well as to simplify massive raster terrain models in a fully-specified and user-controlled way. SCALGO Hydrology can be used to perform basic hydrological modeling on massive raster terrain models, including computing flow accumulation, watersheds, bluespots (maximal depressions) and flood maps from rising sea-levels. SCALGO Simplify adds the raster simplification functionality of SCALGO Model to the SCALGO Hydrology package.

SCALGO has also launched the SCALGO Flash Flood Mapping product, which estimates the risk of flooding during extreme rain events on a regional or even national scale. The mapping shows how much rain has to fall before any given cell of a detailed raster terrain is below water, and thus it also shows what part of the terrain is below water after a given amount of rain. The SCALGO Flash Flood Mapping product is being offered as a computation service. Based on the service and its national LIDAR-based terrain model, the major Danish engineering, environmental science and economics consulting company COWI has already successfully launched a new flash flood map product in Denmark, which is being used by several local governments as well as one of the five regional governments in Denmark (covering approximately 13.000 km²).

Information about SCALGO technology, software products and services can be found at http://scalgo.com.
SCALGO staff are also available to answer questions at booth 108 during the 2012 International LIDAR Mapping Forum (ILMF).

Scalable Algorithmics (SCALGO) was founded in 2009 with the mission to bring cutting-edge massive terrain data processing technology to market. The SCALGO technology is based on more than two decades of basic and applied research on I/O-efficient and geometric algorithms at Center for Massive Data Algorithmics (MADALGO) at Aarhus University in Denmark and at Duke University in the US, in collaboration with industry LiDAR and environmental GIS application experts. Software based on the technology can handle much larger terrain data sets on a normal desktop than most current software and thus it eliminates the need for accuracy-decreasing data thinning. The use of novel mathematical and algorithmic techniques also means that the software works provably efficient on all input data sets, delivering a completely specified output without the use of cumbersome work-flows such as those introduced by data tiling.

Makai Releases Major Update to Geospatial Visualization Software Demo

Ocean VolumeMakai Ocean Engineering, Inc. has released a new demonstration version of its geospatial visualization software, Makai Voyager. The new release, available at http://voyager.makai.com, demonstrates Makai Voyager’s advanced volumetric data visualization and analysis capabilities.

Makai Voyager provides users with an easy to access, cross-platform software package to process, analyze, fuse, and display vast amounts of scientific and GIS data being collected and simulated in the earth, ocean, and atmosphere.

The 1.1 update is a major release, and includes many new features:

  • Volume rendering of large 4D data models;
  • Display of dynamic data on the ocean surface;
  • Customizable graphs of scientific data; and,
  • Faster streaming and improved WMS support.

The downloadable demo contains many of the scientific visualization capabilities of the Makai Voyager software platform. The full version of Makai Voyager will contain a wide variety of data import and fusion tools to import and process GIS and scientific data, and provide users with access to add-on modules for specific tasks (e.g., LIDAR analysis). Makai Voyager is cross-platform software, and runs on Windows (32- and 64-bit), Linux, and Mac OS X.

Makai welcomes inquiries about Makai Voyager and our other software products and services. For more information about Makai, visit http://www.makai.com.

Batch Geonews: Tracking Santa Claus, MapInfo Stratus, Seamless USGS Topo Maps, Wikileaks Spyfiles Map, and much more

A lot of interesting geonews in this 'batch mode' edition.

On the Google front:

On the Esri front:

In the miscellaneous category:

In the maps category:

And as a bonus for reading this, see this wonderful time-lapse movie from the International Space Station around the world in 90 minutes

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