What's a picture really worth? On the use of drone aerial imagery to estimate intertidal rocky shore mussel demographic parameters

[1]  W. R. Koski,et al.  An inventory and evaluation of unmanned aerial systems for offshore surveys of marine mammals , 2023, J. Cetacean Res. Manage..

[2]  Tingzhu Bai,et al.  Experimental Study of Multispectral Characteristics of an Unmanned Aerial Vehicle at Different Observation Angles , 2018, Sensors.

[3]  Brian Alan Johnson,et al.  Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling , 2018, Remote. Sens..

[4]  J. Shutler,et al.  Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone , 2018 .

[5]  Francisco Taveira-Pinto,et al.  Influence of the wave climate seasonality on the performance of a wave energy converter: A case study , 2017 .

[6]  Blake M. Allan,et al.  Applications of unmanned aerial vehicles in intertidal reef monitoring , 2017, Scientific Reports.

[7]  Anita Simic Milas,et al.  Different colours of shadows: classification of UAV images , 2017 .

[8]  B. Konar,et al.  The use of unmanned aerial vehicle imagery in intertidal monitoring , 2017 .

[9]  T. Cruz,et al.  Predicting Pollicipes pollicipes (Crustacea: Cirripedia) abundance on intertidal rocky shores of SW Portugal: a multi-scale approach based on a simple fetch-based wave exposure index , 2016 .

[10]  S. Wood,et al.  Smoothing Parameter and Model Selection for General Smooth Models , 2015, 1511.03864.

[11]  A. Trenhaile,et al.  Clast mobility within boulder beaches over two winters in Galicia, northwestern Spain , 2015 .

[12]  Walter Jetz,et al.  Global priorities for an effective information basis of biodiversity distributions , 2015, Nature Communications.

[13]  Michael Bock,et al.  System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 , 2015 .

[14]  J. Grant,et al.  High-resolution, low-altitude aerial photography in physical geography , 2015 .

[15]  B. Menge,et al.  Are meta-ecosystems organized hierarchically? A model and test in rocky intertidal habitats , 2015 .

[16]  P. Enderlein,et al.  A protocol for the aerial survey of penguin colonies using UAVs1 , 2015 .

[17]  Douglas J. Krause,et al.  A small unmanned aerial system for estimating abundance and size of Antarctic predators , 2015, Polar Biology.

[18]  A. Pérez-Alberti,et al.  Metodología y clasificación de tipos de paisaje en Galicia , 2014 .

[19]  J. Théau,et al.  Recent applications of unmanned aerial imagery in natural resource management , 2014 .

[20]  Charles L. Griffiths,et al.  Repeat photography as a tool for detecting and monitoring historical changes in South African coastal habitats , 2014 .

[21]  Mohammadreza Aghaei,et al.  Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants , 2014, IEEE Journal of Photovoltaics.

[22]  Sharon A. Robinson,et al.  Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds , 2014, Remote. Sens..

[23]  C. Griesemer,et al.  Beyond connectivity: how empirical methods can quantify population persistence to improve marine protected-area design. , 2014, Ecological applications : a publication of the Ecological Society of America.

[24]  J. C. Tam,et al.  Distribution of cryptic mussel species (Mytilus edulis and M. trossulus) along wave exposure gradients on northwest Atlantic rocky shores , 2014 .

[25]  Dominique Chabot,et al.  Small unmanned aircraft: precise and convenient new tools for surveying wetlands , 2013 .

[26]  Marco Dubbini,et al.  Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments , 2013, Remote. Sens..

[27]  A. Hodgson,et al.  Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study , 2013, PloS one.

[28]  M. Johnson-Roberson,et al.  Kite Aerial Photography for Low-Cost, Ultra-high Spatial Resolution Multi-Spectral Mapping of Intertidal Landscapes , 2013, PloS one.

[29]  G. Grenzdörffer.  UAS-based automatic bird count of a common gull colony , 2013 .

[30]  Hervé Piégay,et al.  Prediction of water temperature heterogeneity of braided rivers using very high resolution thermal infrared (TIR) images , 2013 .

[31]  Karen Anderson,et al.  Lightweight unmanned aerial vehicles will revolutionize spatial ecology , 2013 .

[32]  Jason J. Roberts,et al.  Reproductive output and duration of the pelagic larval stage determine seascape-wide connectivity of marine populations. , 2012, Integrative and comparative biology.

[33]  Antoine Collin,et al.  Merging land-marine realms: Spatial patterns of seamless coastal habitats using a multispectral LiDAR , 2012 .

[34]  Pascal Fua,et al.  DEVELOPING SPECIES SPECIFIC VEGETATION MAPS USING MULTI-SPECTRAL HYPERSPATIAL IMAGERY FROM UNMANNED AERIAL VEHICLES , 2012 .

[35]  Vincent G. Ambrosia,et al.  Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use , 2012, Remote. Sens..

[36]  Austin M. Jensen,et al.  Use of high-resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle to quantify the spread of an invasive wetlands species , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[37]  I. Young,et al.  Global Trends in Wind Speed and Wave Height , 2011, Science.

[38]  Kai Wang,et al.  Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists , 2010, Sensors.

[39]  Michael J. Noad,et al.  Using Unmanned Aerial Vehicles for surveys of marine mammals in Australia: test of concept , 2010 .

[40]  Nessa E. O'Connor,et al.  Shore exposure affects mussel population structure and mediates the effect of epibiotic algae on mussel survival in SW Ireland , 2010 .

[41]  K. Reise,et al.  Long-term displacement of intertidal seagrass and mussel beds by expanding large sandy bedforms in the northern Wadden Sea , 2010 .

[42]  Tiho Ancev,et al.  Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement , 2009, Remote. Sens..

[43]  C. Guedes Soares,et al.  Numerical modelling to estimate the spatial distribution of the wave energy in the Portuguese nearshore , 2009 .

[44]  L. Godet,et al.  Clam farmers and Oystercatchers: effects of the degradation of Lanice conchilega beds by shellfish farming on the spatial distribution of shorebirds. , 2009, Marine pollution bulletin.

[45]  Albert Rango,et al.  Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[46]  E. Carrington,et al.  Mussel attachment on rocky shores: the effect of flow on byssus production. , 2008, Integrative and comparative biology.

[47]  Gary D. Gilbert,et al.  Spectral detection and monitoring of marine mammals , 2008, SPIE Defense + Commercial Sensing.

[48]  B. Campos,et al.  Efecto de la temperatura en el desarrollo embrionario y larval del mejillón, Mytilus galloprovincialis (Lamarck, 1819) , 2008 .

[49]  M. Burrows,et al.  Wave exposure indices from digital coastlines and the prediction of rocky shore community structure , 2008 .

[50]  C. Delacourt,et al.  Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform , 2007 .

[51]  P. Relvas,et al.  Physical oceanography of the western Iberia ecosystem: Latest views and challenges , 2007 .

[52]  A. Carranza,et al.  Mussels as ecosystem engineers: Their contribution to species richness in a rocky littoral community , 2007 .

[53]  C. McQuaid,et al.  Wave exposure effects on population structure and recruitment in the mussel Perna perna suggest regulation primarily through availability of recruits and food, not space , 2007 .

[54]  S. Gaines,et al.  Spatial patterns of growth in the mussel, Mytilus californianus, across a major oceanographic and biogeographic boundary at Point Conception, California, USA , 2007 .

[55]  T. Schmugge,et al.  Research Article: Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials , 2006 .

[56]  Giles M. Foody,et al.  The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM , 2006 .

[57]  P. Gong,et al.  Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery , 2006 .

[58]  C. McQuaid,et al.  Wave action and competitive interaction between the invasive mussel Mytilus galloprovincialis and the indigenous Perna perna in South Africa , 2006 .

[59]  C. McQuaid,et al.  Hydrodynamic stress and habitat partitioning between indigenous (Perna perna) and invasive (Mytilus galloprovincialis) mussels: constraints of an evolutionary strategy , 2006 .

[60]  M. Westerbom,et al.  Effects of wave exposure on the sublittoral distribution of blue mussels Mytilus edulis ina heterogeneous archipelago , 2006 .

[61]  M. Araújo,et al.  Validation of species–climate impact models under climate change , 2005 .

[62]  N. Loneragan,et al.  Mapping and characterising subtropical estuarine landscapes using aerial photography and GIS for potential application in wildlife conservation and management , 2005 .

[63]  Marc Herlyn,et al.  Quantitative assessment of intertidal blue mussel (Mytilus edulis L.) stocks: combined methods of remote sensing, field investigation and sampling , 2005 .

[64]  M. Rius,et al.  Human harvesting of Mytilus galloprovincialis Lamarck, 1819, on the central coast of Portugal , 2004 .

[65]  J. Witman,et al.  The relationship between regional and local species diversity in marine benthic communities: a global perspective. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[66]  Giles M. Foody,et al.  Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification , 2004 .

[67]  M. Tokeshi,et al.  Variable modes of facilitation in the upper intertidal: Goose barnacles and mussels , 2004 .

[68]  G. M. Branch,et al.  Can we predict the effects of alien species? A case-history of the invasion of South Africa by Mytilus galloprovincialis (Lamarck) , 2004 .

[69]  C. Griffiths,et al.  Influence of wave exposure on South African mussel beds and their associated infaunal communities , 2004 .

[70]  Petra Philipson,et al.  Can Coral Reefs Be Monitored from Space? , 2003, Ambio.

[71]  R. Carpenter,et al.  THE EFFECTS OF MORPHOLOGY AND WATER FLOW ON PHOTOSYNTHESIS OF MARINE MACROALGAE , 2003 .

[72]  J. Kerr,et al.  From space to species: ecological applications for remote sensing , 2003 .

[73]  C. Steffani,et al.  Growth rate, condition, and shell shape of Mytilus galloprovincialis: responses to wave exposure , 2003 .

[74]  S. Hawkins,et al.  Intertidal Rocky Shore Communities of the Continental Portuguese Coast: Analysis of Distribution Patterns , 2002 .

[75]  Mark W. Denny,et al.  Physical processes that generate patterns in marine communities , 2001 .

[76]  R. Scheibling,et al.  Patch dynamics of mussels on rocky shores: Integrating process to understand pattern , 2001 .

[77]  E. Houde,et al.  Factors in the Decline of Coastal Ecosystems , 2001, Science.

[78]  H. Nagendra.  Using remote sensing to assess biodiversity , 2001 .

[79]  C. McQuaid,et al.  Interactive effects of wave exposure and tidal height on population structure of the mussel Perna perna , 2000 .

[80]  Underwood,et al.  Experimental ecology of rocky intertidal habitats: what are we learning? , 2000, Journal of experimental marine biology and ecology.

[81]  J.-P. Agnard,et al.  High‐resolution remote sensing of intertidal ecosystems: A low‐cost technique to link scale‐dependent patterns and processes , 2000 .

[82]  A. Meyer,et al.  Origin of the antitropical distribution pattern in marine mussels (Mytilus spp.): routes and timing of transequatorial migration , 2000 .

[83]  Stephen V. Stehman,et al.  Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles , 1998 .

[84]  B. Menge,et al.  Benthic-pelagic links and rocky intertidal communities: bottom-up effects on top-down control? , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[85]  R. Bustamante,et al.  The influences of physical factors on the distribution and zonation patterns of South African rocky-shore communities , 1997 .

[86]  M. Ba,et al.  Influence of phytoplankton concentration and wave exposure on the ecophysiology of Mytilus californianus , 1996 .

[87]  S. Brawley,et al.  Reproductive ecology, of Fucus distichus (Phaeophyceae): an intertidal alga with successful external fertilization , 1996 .

[88]  R. Scheibling,et al.  Physical and biological factors influencing mussel (Mytilus trossulus, M. edulis) settlement ona wave-exposed rocky shore , 1996 .

[89]  R. Bustamante,et al.  Large scale patterns and trophic structure of southern African rocky shores: the roles of geographic variation and wave exposure , 1996 .

[90]  A. Jl,et al.  Tridimensional matrices of mussels Perumytilus purpuratus on intertidal platforms with varying wave forces in central Chile , 1996 .

[91]  C. Griffiths,et al.  Factors affecting relative rates of growth in four South African mussel species , 1993 .

[92]  D. Skibinski,et al.  Variation in strength of attachment to the substrate explains differential mortality in hybrid mussel (Mytilus galloprovincialis and M. edulis) populations , 1992 .

[93]  R. Paine,et al.  Intertidal Landscapes: Disturbance and the Dynamics of Pattern , 1981 .

[94]  R. Paine,et al.  Intertidal community structure , 1974, Oecologia.

[95]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[96]  G. Dodet,et al.  Wave climate variability in the North-East Atlantic Ocean over the last six decades , 2010 .

[97]  J. Jouanneau,et al.  Winter dynamics on the northern Portuguese shelf. Part 1: physical processes , 2002 .

[98]  S. Gaines,et al.  Extreme spatial variation in the growth and reproductive output of the acorn barnacle Semibalanus balanoides , 1991 .

[99]  C. McQuaid,et al.  Trophic structure of rocky intertidal communities response to wave action and implications for energy flow , 1985 .