Drone‐based structure‐from‐motion photogrammetry captures grassland sward height variability

This research was supported by a joint University of Exeter and the James Hutton Institute PhD studentship. The authors declare no conflict of interest. The Leica GS08 GPS was supplied by the University of Exeter Environment and Sustainability Institute’s (ESI) DroneLab

[1]  Chris J. Hodgson,et al.  Interactions among agricultural production and other ecosystem services delivered from European temperate grassland systems , 2010 .

[2]  Bodo Rosenhahn,et al.  Foreground Segmentation from Occlusions Using Structure and Motion Recovery , 2012, VISIGRAPP.

[3]  M. Pierrot-Deseilligny,et al.  A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery , 2013 .

[4]  Jeremy A. Thomas,et al.  The challenge of conserving grassland insects at the margins of their range in Europe , 2002 .

[5]  C. Macleod,et al.  Understanding spatial variability of soil properties: a key step in establishing field- to farm-scale agro-ecosystem experiments. , 2012, Rapid communications in mass spectrometry : RCM.

[6]  Y. Malhi,et al.  Grass allometry and estimation of above-ground biomass in tropical alpine tussock grasslands , 2014 .

[7]  Duccio Rocchini,et al.  Will remote sensing shape the next generation of species distribution models? , 2015 .

[8]  Heiko Balzter,et al.  Modelling relationships between organisms and vegetation structure using airborne LiDAR data , 2005 .

[9]  Carl Olsson,et al.  Stable Structure from Motion for Unordered Image Collections , 2011, SCIA.

[10]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[11]  William J. Sutherland,et al.  How effective are European agri‐environment schemes in conserving and promoting biodiversity? , 2003 .

[12]  Carlos Castillo,et al.  Image-based surface reconstruction in geomorphometry - merits, limits and developments , 2016 .

[13]  E. Rupnik,et al.  MicMac – a free, open-source solution for photogrammetry , 2017, Open Geospatial Data, Software and Standards.

[14]  Lawrence B. Flanagan,et al.  Interacting effects of temperature, soil moisture and plant biomass production on ecosystem respiration in a northern temperate grassland , 2005 .

[15]  E. Fleishman,et al.  Influence of Temporal Scale of Sampling on Detection of Relationships between Invasive Plants and the Diversity Patterns of Plants and Butterflies , 2004 .

[16]  N. Glenn,et al.  LiDAR measurement of sagebrush steppe vegetation heights , 2006 .

[17]  Jeremy A. Thomas,et al.  An evaluation of three quick methods commonly used to assess sward height in ecology , 2001 .

[18]  Erle C. Ellis,et al.  Using lightweight unmanned aerial vehicles to monitor tropical forest recovery , 2015 .

[19]  I. Woodhouse,et al.  Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries , 2017 .

[20]  Kiyun Yu,et al.  Bundle Block Adjustment with 3D Natural Cubic Splines , 2009, Sensors.

[21]  S. Langton,et al.  Design of grassland feeding areas for waders during winter : The relative importance of sward, landscape factors and human disturbance , 1998 .

[22]  Fabio Menna,et al.  A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRICPROCESSING OF LARGE DATASETS , 2017 .

[23]  B. Jeangros,et al.  Long-term impacts of extensification of grassland management on biodiversity and productivity in upland areas. A review , 2004 .

[24]  G. Tucker.  Effects of agricultural practices on field use by invertebrate-feeding birds in winter , 1992 .

[25]  K. Anderson,et al.  What does airborne LiDAR really measure in upland ecosystems? , 2015 .

[26]  Johannes Isselstein,et al.  Grazing intensity affects insect diversity via sward structure and heterogeneity in a long‐term experiment , 2014 .

[27]  L. Cárdenas,et al.  Does extensification lead to enhanced provision of ecosystems services from soils in UK agriculture , 2014 .

[28]  S. Lavorel,et al.  Plant response traits mediate the effects of subalpine grasslands on soil moisture. , 2008, The New phytologist.

[29]  Nicholas C. Coops,et al.  Aerial Photography: A Rapidly Evolving Tool for Ecological Management , 2010 .

[30]  Mike J. Smith,et al.  Cameras and settings for aerial surveys in the geosciences , 2017 .

[31]  J. Redhead,et al.  Fate of semi-natural grassland in England between 1960 and 2013: A test of national conservation policy , 2015 .

[32]  Geert J. Verhoeven,et al.  Engaging with the Canopy - Multi-Dimensional Vegetation Mark Visualisation Using Archived Aerial Images , 2016, Remote. Sens..

[33]  J. Freer,et al.  Assessing catchment-scale erosion and yields of suspended solids from improved temperate grassland. , 2010, Journal of environmental monitoring : JEM.

[34]  Norbert Pfeifer,et al.  Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types , 2014, Remote. Sens..

[35]  Marc Olano,et al.  Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure , 2015, Remote. Sens..

[36]  Felipe Gonzalez,et al.  Design and flight testing of a bio-inspired plume tracking algorithm for unmanned aerial vehicles , 2016, 2016 IEEE Aerospace Conference.

[37]  David Schimmelpfennig,et al.  Sequential Adoption and Cost Savings from Precision Agriculture , 2016 .

[38]  K. F. Conrad,et al.  Monitoring biodiversity: measuring long-term changes in insect abundance , 2007 .

[39]  Bilal Alsalam,et al.  Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision , 2016, 2016 IEEE Aerospace Conference.

[40]  Chris D. Thomas,et al.  Correlated extinctions, colonizations and population fluctuations in a highly connected ringlet butterfly metapopulation , 1997, Oecologia.

[41]  M. Fladeland,et al.  Remote sensing for biodiversity science and conservation , 2003 .

[42]  Erle C. Ellis,et al.  Remote Sensing of Vegetation Structure Using Computer Vision , 2010, Remote. Sens..

[43]  S. Robson,et al.  3‐D uncertainty‐based topographic change detection with structure‐from‐motion photogrammetry: precision maps for ground control and directly georeferenced surveys , 2017 .

[44]  Andrew M. Cunliffe,et al.  Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry , 2016 .

[45]  R. B. Jackson,et al.  Using simple environmental variables to estimate below-ground productivity in grasslands , 2002 .

[46]  Bodo Rosenhahn,et al.  Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery , 2011, ISVC.

[47]  M. Pierrot-Deseilligny,et al.  UAV PHOTOGRAMMETRY TO MONITOR DYKES - CALIBRATION AND COMPARISON TO TERRESTRIAL LIDAR , 2014 .

[48]  P. Haygarth,et al.  The impacts of grazing animals on the quality of soils, vegetation and surface waters in intensively managed grasslands , 2007 .

[49]  Scott D. Wilson,et al.  Temporal heterogeneity of soil moisture in grassland and forest , 2003 .

[50]  Paul-Henri Faure,et al.  UAV LINEAR PHOTOGRAMMETRY , 2015 .

[51]  Teja Tscharntke,et al.  Does conservation on farmland contribute to halting the biodiversity decline? , 2011, Trends in ecology & evolution.

[52]  Nick Salafsky,et al.  Allocating Resources Between Taking Action, Assessing Status, and Measuring Effectiveness of Conservation Actions , 2006 .

[53]  Does extensification of rich grasslands alter the C and N cycles, directly or via species composition? , 2005 .

[54]  Heiko Balzter,et al.  Modelling relationships between birds and vegetation structure using airborne LiDAR data: a review with case studies from agricultural and woodland environments , 2005 .

[55]  Erle C. Ellis,et al.  High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision , 2013 .

[56]  A. Dégre,et al.  The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds , 2014 .