SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing Deliverable D.2.02 UAV data acquisition and processing WP 2 – Forest information collection and analysis Task 2.02- UAV data acquisition and processing Revision: Final Authors: Enda Nolan Participant: Coastway Surveys Dissemination level PU (Public) Enda Nolan (Coastway), David O’Reilly Contributor(s) Liam Murphy (Coastway), Reviewer(s) Federico Prandi Editor(s) Raffaele De Amicis (Graphitech) Partner in charge(s) FLY, CNR, COAST,TRE Due date 31-MAR-15 Submission Date 17-APR-15 Co-founded by the Page 1 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing REVISION HISTORY AND STATEMENT OF ORIGINALITY Revision History Revision Date Author Organisation Description Definition of the Coastway 06/07/2014 Enda Nolan document 1.0 Surveys Chapters Coastway Content and 17/10/2014 Enda Nolan 2.0 Surveys Revision Coastway 12/12/2014 Enda Nolan Revision 3.0 Surveys 31/03/2015 4.0 Federico Prandi Graphitech Revision Statement of originality This deliverable contains original unpublished work except where clearly indicated otherwise. Acknowledgement of previously published material and of the work of others has been made through appropriate citation, quotation or both. Co-founded by the Page 2 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing Table of contents REVISION HISTORY AND STATEMENT OF ORIGINALITY .................................................. 2 Revision History .............................................................................................................. 2 Statement of originality .................................................................................................. 2 Table of contents ............................................................................................................ 3 List of figures .................................................................................................................. 5 Acronyms ........................................................................................................................ 6 1 Introduction ............................................................................................................. 7 2 Overview of UAV data collection for forestry applications ...................................... 8 2.1 Payloads: Cameras and sensors ........................................................................ 9 2.2 Processing and Outcomes ................................................................................. 9 2.3 Regulation & Licencing ...................................................................................... 9 3 Pilot Test Sites ........................................................................................................ 11 3.1 Test Site Locations Ireland & Italy Phase 1 (Phase 2 Austria in 2015) ............ 11 3.1.1 Gortahile................................................................................................... 11 3.1.2 Trento –Italy (site 2) ................................................................................. 12 4 Survey Equipment .................................................................................................. 15 4.1 UAV .................................................................................................................. 15 4.2 Image Sensors ................................................................................................. 16 4.2.1 IXUS/ELPH RGB ......................................................................................... 16 4.2.26 S110 NIR Standard .................................................................................. 17 4.3 GNSS ................................................................................................................ 18 4.3.1 GEO 7X ...................................................................................................... 18 5 Flight Methodology ................................................................................................ 20 5.1 Pre Flight Checks ............................................................................................. 20 5.2 Flight ................................................................................................................ 20 5.3 Post-Flight Checks and Comments .................................................................. 22 6 Processing and Outputs ......................................................................................... 25 6.1 Processing Chain ............................................................................................. 25 6.2 Software Tools Adopted .................................................................................. 25 6.3 Operations and Processing Methodology ....................................................... 26 6.4 Data Outputs ................................................................................................... 32 6.5 Additional Outputs .......................................................................................... 36 7 Summary of Survey Results .................................................................................... 37 7.1 Piscine (RGB) ................................................................................................... 37 7.2 Piscine (NIR) .................................................................................................... 41 7.3 Montesover (RGB) ........................................................................................... 44 7.4 Montesover (NIR) ............................................................................................ 48 Co-founded by the Page 3 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing 8 Annex...................................................................................................................... 52 8.1 Quality Report Outputs ................................................................................... 52 9 Checklist ............................................................................................................... 123 10 Bibliography ....................................................................................................... 127 Co-founded by the Page 4 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing List of figures Figure 1: Fixed wing e-Bee UAV sistem ........................................................................................................ 8 Figure 3 Flight plan. .................................................................................................................................... 11 Figure 4 Flight plan ..................................................................................................................................... 12 Figure 5 UAV transport box ........................................................................................................................ 13 Figure 6 eBee UAV system .......................................................................................................................... 15 Figure 8 S110 NIR camera ........................................................................................................................... 18 Figure 9 Trimble geo 7x .............................................................................................................................. 19 Figure 10 Flight path Ireland ....................................................................................................................... 21 Figure 12 Process chain .............................................................................................................................. 25 Figure 13 New project ................................................................................................................................ 26 Figure 15 Import images ............................................................................................................................. 27 Figure 19 Window to locate the GCPs ........................................................................................................ 30 Figure 20 Colored point cloud obtained for the test site on Italy .............................................................. 31 Figure 22 Undistorted image ...................................................................................................................... 32 Figure 23 Low resolution ortomosaic ......................................................................................................... 33 Figure 25 Dense matching raster DSM ....................................................................................................... 34 Figure 26 Dense matching grid point DSM ................................................................................................. 35 Co-founded by the Page 5 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing Acronym CA Consortium Agreement DM Data Manager GA Grant Agreement GA General Assembly OM Operational Manager PC Project Coordinator QRM Quality and Risk Manager SB Stakeholders Board TB Technical Board TL Task Leader WPL Work Package Leader DTM Digital Terrain Model SqKm Square Kilometre RPAS Remotely Piloted Aerial Systems IAA Irish Aviation Authority CAA Civil Aviation Authority EC European Commission Co-founded by the Page 6 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing 1 Introduction Precision Agriculture and forestry applications require access to high spatial and temporal resolution and up to date images. Using traditional techniques such as satellite and airborne remote sensing data this could be difficult and expensive. The use of Airborne Lidar over the last 10 to 15 years has proven advantageous but limited in its capability to create a DTM due to the varied level of undergrowth, leading to the creation of a very sparse DTM. Advances in the last five years in the capabilities of lightweight UAV/UAS equipment and payloads for civilian use have brought massive improvements in the methods used to survey large land parcels agriculture including forestry. These systems provide a potential alternative to satellite and airborne data acquisition ensuring low cost, high spatial and temporal resolution, and high flexibility in image acquisition programming. Lightweight battery powered UAV’s have proven to be a great leap forward and an excellent cost effective Surveyors tool for land flat parcels up to 10sqkm, which do not need extensive clearing of scrum and undergrowth to determine the DTM, the Slope project will determine the true value of this equipment in mountainous areas. In an agricultural or forestry scenario, in order to produce valid photogrammetric outputs, the fixed wing UAV with autonomous navigation system uses GPS and inertial measuring technology which are the preferred methods with respect to the RPAS systems currently available. The SLOPE projects intention is to investigate the application of UAV systems for locating harvesting sites, planning and supporting forestry operations. The extent of the area of interest is in general relatively small (less than 1500 ha) thus it is required to obtain data and analysis in a relatively short time. Furthermore the positional accuracy is generally low (< 1m) and a visual analysis of the images is important so the availability of high-resolution orthophotos is quite important. This document will analyse the use of a UAV system to collect and collate information to support forest harvest planning in mountainous areas. In particular the field operations will be investigated focusing on the collection of raw data, the generation of the DSM and orthophotos and the general evaluation of the accuracies achieved. Furthermore a section highlighting the pros and cons of the overall workflow will be provided. Co-founded by the Page 7 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing 2 Overview of UAV data collection for forestry applications Unmanned aerial vehicles (UAV) are becoming a feasible and low cost method for remote-sensing data acquisition, mostly aerial images and derived products such as DSM and orthophotos. Thanks to the development, reliability and miniaturization of the sensors modern UAVs systems enable a relative safe operation. However their application on forestry and mountain environment pose some challenges that will be face off during SLOPE projects, first of all the weather conditions (wind) but also the GNSS signal quality or the visibility of the terrain under the canopy coverage in absence DTM availability. Despite these limitations the potentiality of UAVs on forestry applications in terms of spatial and temporal resolution and costs paves the way to the wide usage of these instruments especially in case like mountain forest harvesting planning where precision farming could be very useful to exploit the potential of the wood preserving the natural resource. Figure 1: Fixed wing e-Bee UAV sistem One of the possible classifications of UAVs system is based on the different type of flying vehicles able to transport camera and/or other sensors. There are the fixed wing UAVs and multi rotor helicopter; both systems can be piloted by an operator via Remote Control (RC) or by an on-board autopilot. In case of Auto piloted UAV the mission is planned in advance defining path, height velocity and photo trigger. The vehicle is then navigated by on-board GNSS/INS unit, in case of problem like signal loss the system switch on the semiautomatic mode and for these reasons the flight has to be controlled by a qualified pilot able to take the control in every moment. In case of forestry application and precision farming when the area to be covered is relatively big and there is not particular requirements to survey on vertical surfaces the fixed wing system are preferred. Co-founded by the Page 8 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing 2.1 Payloads: Cameras and sensors Due their nature small commercial UAVs (especially fixed wing ones) have reduced payload and space, for these reasons these systems are typically equipped with compact consumer cameras. The resolution of these cameras can be very high ensuring a high spatial resolution of the acquired images, however some problems related to the stability of the inner orientation parameters as well as the rolling shutter effect can be affect the final product. For agricultural and forestry applications other sensors like multi/hyperspectral ones can be mounted on the UAVs for vegetation analysis. 2.2 Processing and Outcomes The first outcome of the UAV forest images is the production of Digital Surface Model (DSM) obtained by image matching and the related orthorectified image mosaic. Thanks to the high-resolution aerial images acquired this products can became the basis for subsequent geospatial analysis. Within SLOPE particular attention will be dedicated to the in single-tree-extraction (Cfr. D2.3), tree crown detection, tree density, age-classes and further structure parameters, like stem or timber volume. These parameters can be derived either from object-based image analysis or from point cloud data as a result of image matching. Forest parameters estimated using UAV derived information and refined by the other SLOPE survey will be a valuable support for the forestry inventory and the forest information system at the base of SLOPE project. 2.3 Regulation & Licencing The absence of an EU wide regulatory framework limits the possibility to fly UAV’s in European airspace. It is a severe limitation for the development of UAV market, which requires careful consideration. A pilot project carried out in 2009 has set in place developments which will eventually lead to a single regulation and licencing agreement for UAV’s / RPAS. At the beginning of the Slope Project each test site has its own regulatory body, Ireland – IAA Irish Aviation Authority, Italy - ENAC Italian Civil Aviation Authority, Austria – Austro Control. Co-founded by the Page 9 of 127 European Commission SLOPE - Integrated proceSsing and controL systems fOr sustainable forest Production in mountain arEas – FP7-NMP-2013-SME-7 --604129 WP 2. – Forest Information collection and Analysis Deliverable D.2.02 – UAV data acquisition and processing Figure 2: Foreseen roadmap for UAV EU regulamentation Every private operator must obtain a licence to fly from several of the Aviation Authorities in Europe, Coastway Surveys is licenced by the CAA & IAA. Co-founded by the Page 10 of 127 European Commission
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