GeoNumerics is proud to announce that it has been granted a SME project (phase I) called M2M “mapKITE to market” on the specific call  'SMEInst-04-2016-2017' under the grant agreement number 762692.

The goal of M2M is to conduct a market analysis to introduce mapKITE into the market. MapKITE is a new mobile tandem, terrestrial and aerial, geodata acquisition and orientation/calibration system and method that combines an aerial unmanned (drone) and a land mobile mapping system. In a mapKITE mission, the mapping drone follows the mapping land vehicle by means of a stream of waypoints generated in the vehicle and transmitted to the drone. The land vehicle carries metric targets to materialize accurate kinematic ground control points. In the mission, inertial, GNSS, odometric and imaging data are recorded. In post-processing, these data are combined in a new way for accurate georeferencing purposes.

On March, 15th 2017, the BCN Drone Center hosted once more an event related with the Horizon2020 project mapKITE. But this time the activity was not related to sub-system testing or laboratory development -something bigger was in place. mapKITE was presented in a workshop that gathered industry specialists from the world-leading mobile mapping integrators (Leica, Trimble, Teledyne-Optech, IGI GmbH), reference European mobile mapping service companies (GeoSAT, TopScan), local cartographic and infrastructure management agencies (Institut Cartogràfic i Geologic de Catalunya, Direcció General d'Infrastructures de Mobilitat Terrestre, Port de Barcelona) and some other stakeholders.

The event resulted in a successful presentation of the main insights behind the revolutionary tandem drone-MMS concept to an audience of around fourty people. Additionally, the European GNSS Agency (GSA) provided the latest insights about the European GNSS systems, EGNOS and Galileo, and its uses for mapping and surveying applications. Finally, Antonio Lira, from Engemap (Brazil), presented the success case of the early-bird implementation of mapKITE in real operations for road mapping in Brazil. The event included a demo, in which the participants could also see the system operating in a real flight, and a round table discussion with the attendees.

The 7th international and 1st Gulf Cooperation Council (GCC) edition of the course “Unmanned Aerial Vehicles for Remote Sensing and Photogrammetry” took place from 20th to the 29th of March of 2017 at Dubai. Twenty-four participants of various countries and backgrounds, from government, industry and academia, attended the lectures and the practical exercises that were distributed into two modules: “Integrating drones into geomatics: principles and applications” and “UAV remote sensing mission planning, operations, data processing and project management.”

The course belongs to the broader capacity building initiative “Drones for Geomatics” of the Arabian Gulf University (AGU), was organized by the AGU and the BCN Drone Center and hosted by the International Center for Biosaline Agriculture (Academic City, Dubai, UAE).

The mapKITE consortium is proud to announce the achievement of one of the main milestones of the project: the publication of the first results of a mapKITE system operating in a real corridor mapping mission. These results have been published as an open-access article at the online journal Remote Sensing from the Multidisciplinary Digital Publishing Institute (MDPI), in the frame of the special issue Recent Trends in UAV Remote Sensing.

To access all the materials of the publication, click on this link: http://www.mdpi.com/2072-4292/9/1/60.

As a follow-up from the previous test campaign, the mapKITE team processed the acquired geo-data to derive orientation and calibration for the aerial images as well as point clouds from the corridor environment. Using ground check points as source for accuracy validation, the results yielded positive conclusions: mapKITE is able to achieve the same accuracy than UAS-only approaches, using the novel Kinematic Ground Control Points (KGCPs) and substantially minimizing the amount of Ground Control Points (GCPs). The current results are in line with previously anticipated results based in simulations.