Developing a lowcost Vertical Take Off and Landing Unmanned Aerial System for centimetric monitoring of biodiversity the Fontainebleau Forest case

Monitoring vegetation dynamics is a very important task for biodiversity conservation, especially in the Global Change context where many natural habitats are threatened with extinction or reduced to small areas. Remote sensing (aerial or spatial) has played a key role in this monitoring for years. With space imagery, the main limitation is actually due to the metric resolution which is not well adapted for estimating the processes of changes occurring in areas where the number species, visible only in few places, is shrinking, like in the heathland habitat in Fontainebleau Forest case. For aerial imagery, the main problem is the cost of a specific mission or the availability of the plane or the pilot. We propose in this article another solution: the use of a home-made Unmanned Vertical Take Off and Landing Aerial System, which is a good compromise between the spatial and aerial solutions, and test the validity and the robustness of the tools developed for the management of natural habitat on a specific area of the Fontainebleau Forest.

[1]  Laurence R. Newcome.  Unmanned Aviation: A Brief History of Unmanned Aerial Vehicles , 2004 .

[2]  Yandong Wang,et al.  PICTOMETRY ' S PROPRIETARY AIRBORNE DIGITAL IMAGING SYSTEM AND ITS APPLICATION IN 3 D CITY MODELLING , 2008 .

[3]  Daniel Oram.  Rectification for any epipolar geometry , 2001, BMVC.

[4]  Giovanni Muscato,et al.  HIL Tuning of UAV for Exploration of Risky Environments , 2008 .

[5]  Filiberto Chiabrando,et al.  MAPPING OF ARCHAEOLOGICAL AREAS USING A LOW-COST UAV THE AUGUSTA BAGIENNORUM TEST SITE , 2007 .

[6]  Section De Microtechnique,et al.  design and control of quadrotors with application to autonomous flying , 2007 .

[7]  O. Faugeras.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

[8]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[9]  Joachim Höhle,et al.  Photogrammetric Measurements in Oblique Aerial Images , 2008 .

[10]  David Capel,et al.  Image Mosaicing and Super-resolution , 2004, Distinguished Dissertations.

[11]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[12]  H. Maître,et al.  DENSE URBAN DEM WITH THREE OR MORE HIGH-RESOLUTION AERIAL IMAGES , 1998 .

[13]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[14]  Reinhard Koch,et al.  A simple and efficient rectification method for general motion , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[15]  Anbal Ollero,et al.  Multiple Heterogeneous Unmanned Aerial Vehicles , 2008 .

[16]  Alexandru Tupan,et al.  Triangulation , 1997, Comput. Vis. Image Underst..

[17]  J. Everaerts,et al.  THE USE OF UNMANNED AERIAL VEHICLES ( UAVS ) FOR REMOTE SENSING , 2008 .

[18]  Peter Tatham,et al.  An investigation into the suitability of the use of unmanned aerial vehicle systems (UAVS) to support the initial needs assessment process in rapid onset humanitarian disasters , 2009 .

[19]  C. Lemmen,et al.  Pictometry : potentials for land administration , 2007 .

[20]  Des B. A. Thompson,et al.  Upland heather moorland in Great Britain: A review of international importance, vegetation change and some objectives for nature conservation , 1995 .

[21]  Pedro Castillo-García.  Modélisation et commande d'un mini hélicoptère à quatre rotors , 2004 .

[22]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[23]  Tarek Hamel,et al.  A UAV for bridge inspection: Visual servoing control law with orientation limits , 2007 .

[24]  G. Petrie.  Systematic Oblique Aerial Photography Using Multiple Digital Frame Cameras , 2009 .