Enhanced User Experience with New Online Map Service

CLERMONT-FERRAND, France – September 21, 2021PlanetObserver and Kalisio reveal My Planet Maps, a new subscription-based online map service that delivers immediate streaming access to fresh and global data. It includes performant vector and raster georeferenced basemaps. By accessing data through a reliable web map service, users save the costs of handling, storing and updating their data products internally.

Maximize your GIS projects with reliable and efficient data

My Planet Maps provides a quick and easy streaming access to quality global mapping content, updated regularly. Maps include 10-meter global imagery, 50cm and 20cm orthophoto for France, and global OpenStreetMap basemaps available in different styles.
Premium global imagery basemap, produced by PlanetObserver, is at the core of My Planet Maps. Thanks to enhanced color processing techniques, the global basemap offers a seamless visual experience down to 10-meter resolution. It provides rich and reliable geographical context updated annually. Furthermore, it is combined with the most recent high-resolution aerial photography of whole France recently released by IGN (French National Geographic Institute) that provides highly detailed geographical information.
In addition, a set of global vector maps in different styles complements the platform to provide a full user experience. Moreover, a hybrid layer combining imagery and vector data provides a detailed reference map for the world. All layers are perfect to monitor and communicate relevant activity in any location around the globe.

Efficient online map service with easy integration into GIS workflows

My Planet Maps users can easily connect their GIS applications (ArcGIS, QGIS, etc.) and enterprise applications to the platform. Imagery and vector data are accessible through a full suite of OGC-standard web services (WMS, WMTS, TMS). That highly simplifies the discovery and integration of high-quality data. The platform, developed by Kalisio, is already used by Airbus and IRSN (French Radioprotection and Nuclear Safety Institute). Most importantly, users are fully satisfied with their daily access to the service and appreciate its reliability.
With My Planet Maps online map service, users easily combine reliable global imagery and vector basemaps available in the platform with their own authoritative content and analysis environments.
My Planet Maps offers the best value for a wide range of geospatial projects. For example, it is best adapted for supporting mapping, planning missions and operations, managing land, monitoring assets and more. It helps users in their missions across a number of industries from Defense and Intelligence, land administration and mapping, energy to civil engineering and infrastructures.  

About PlanetObserver

Based in France and established in 1989, PlanetObserver is specialized in the processing and production of high value-added geospatial data. The company develops innovative products that maximize the visual and technological performances of all clients’ projects and solutions in the Defense, Aerospace, Mapping and GIS sectors. With a constant commitment to R&D and innovation, PlanetObserver is positioned as the supplier and partner of leading companies located in Europe, North America and Asia-Pacific.

About Kalisio

Kalisio is a company offering solutions based on geospatial technologies to help you master your environment in real-time. The main use cases are crisis management or field operations efficiency. The company has a broad range of solutions to process, ingest, disseminate and use geospatial data. Kalisio is also a player in the open world: we contribute, sponsor and develop open source solutions. In addition, these solutions help enhance the value of open government data (Open Data). At Kalisio, we implement a policy of collaborative development with our partners. In a spirit of open innovation, we participate in the digitization of territories and fight against the digital divide.

Kalisio signe une convention avec le SMMAR

Dans le cadre de son Contrat Innovation avec l'agence de développement économique de la région Occitanie (AD'OCC), Kalisio a signé une convention avec le SMMAR. En effet, l'un des objectifs de ce programme R&D ambitieux est d'évaluer la possibilité de créer des modèles prédictifs de niveau d'eau à base d'intelligence artificielle afin de mieux prévenir le risque inondation. Grâce à cette convention, Kalisio pourra exploiter les mesures hydrométriques du SMMAR, propriétaire d'un ensemble de stations de mesure sur son périmètre, en complément des stations déjà accessibles grâce au portail Hub'Eau.

En synchronisant les prévisions à la visualisation temps-réel de l'étendu d'une zone située sous un certain niveau (voir la vidéo) nous pourrions connaitre de façon précise, et plusieurs heures à l'avance, les zones potentiellement inondées d'une région.

 

Fonds cartographiques basés sur les données OpenStreetMap

En tant qu'acteur de l'Open Source et de l'Open Data dans le domaine de la donnée géographique, Kalisio propose des fonds cartographiques basés sur les données OpenStreetMap. Néanmoins, parce que la fondation OpenStreetMap est une organisation à but non lucratif avec des ressources limitées, vous ne pouvez tout simplement pas utiliser les serveurs de tuiles d'openstreetmap.org selon votre bon vouloir (voir la politique d'utilisation des tuiles):

OpenStreetMap data is free for everyone to use. Our tile servers are not.

Jusqu'à présent, nous utilisions donc un fournisseur tiers pour disposer de données optimisées (i.e. tuiles) prêtes à l'emploi et hébergées sur nos serveurs, ou ceux de nos clients. Aujourd'hui, nous sommes heureux de pouvoir générer nos propres tuiles à partir de la base de données OpenStreetMap en totale autonomie, notamment grâce au fabuleux écosystème que nous participons à enrichir:

  • kaabah pour le déploiement automatisé d'infrastructures de calcul,
  • krawler pour l'orchestration des tâches de calcul,
  • openmaptiles pour l'import de la base de données OpenStreetMap et la génération des tuiles,
  • tippecanoe pour l'aggrégation des tuiles,
  • kargo pour la mise à disposition des tuiles via différents protocoles OGC standards.

Un travail qui pourrait paraître anodin en 2021 mais qui ne l'est pourtant pas. Ce n'est pas moins de 256 processeurs et plusieurs jours de calcul qui auront été nécessaires à produire ce jeu de données de 90 gigaoctets, ce que quelques statistiques illustreront:

  • 508 millions de bâtiments,
  • 602 millions d'entités liées au transport (routes, voies ferrées, etc.),
  • 80 millions de points d'intérêt (équipements publics, tourisme, boutiques, etc.),
  • 113 millions d'entités administratives (pays, états, régions, villes).

Rien de révolutionnaire ou qui n'existe déjà (e.g. Google Maps), mais c'est aussi cela la souveraineté numérique, un savoir-faire permettant l'indépendance et la résilience.

Visualisez le résultat dans Kano.

Maps based on OpenStreetMap data

As an Open Source and Open Data player, Kalisio offers maps based on OpenStreetMap data. However, because the OpenStreetMap Foundation is a non-profit organization with limited resources, you simply cannot use the openstreetmap.org tile servers as you wish (see Tile Usage Policy ):

OpenStreetMap data is free for everyone to use. Our tile servers are not.

Until now, we have therefore used a third-party provider to get ready to use optimized data (ie tiles) hosted on our servers, or those of our customers. Today, we are happy to be able to generate our own tiles from the OpenStreetMap database in total autonomy, in particular thanks to the fabulous ecosystem that we are helping to enrich:

  • kaabah for the automated provisioning of computing infrastructures,
  • krawler for the orchestration of computational tasks,
  • openmaptiles for importing the OpenStreetMap database and generating tiles,
  • tippecanoe for the aggregation of tiles,
  • kargo for the provision of tiles via various standard OGC protocols.

A work that could seem trivial in 2021 but which is not, however. It required not less than 256 CPUs and several days of calculation to produce this 90 gigabytes dataset, which some statistics will illustrate:

  • 508 million buildings,
  • 602 million transport-related entities (roads, railways, etc.),
  • 80 million points of interest (public facilities, tourism, shops, etc.),
  • 113 million administrative entities (countries, states, regions, cities).

Nothing new or revolutionary (eg Google Maps), but this is a step toward digital sovereignty, a know-how allowing independence and resilience.

 Visualise the result in Kano.