The Effect of Environmental Conditions on the Quality of UAS Orthophoto-Maps in the Coastal Environment
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Konstantinos N. Topouzelis | Michaela Doukari | Stelios Katsanevakis | Nikolaos Soulakellis | N. Soulakellis | K. Topouzelis | S. Katsanevakis | M. Doukari
[1] M. Taylor,et al. Influence of altitude on tropical marine habitat classification using imagery from fixed‐wing, water‐landing UAVs , 2020, Remote Sensing in Ecology and Conservation.
[2] J. Gonçalves,et al. UAV photogrammetry for topographic monitoring of coastal areas , 2015 .
[3] Karen E. Joyce,et al. Principles and practice of acquiring drone-based image data in marine environments , 2019, Marine and Freshwater Research.
[4] Konstantinos N. Topouzelis,et al. Detection of floating plastics from satellite and unmanned aerial systems (Plastic Litter Project 2018) , 2019, Int. J. Appl. Earth Obs. Geoinformation.
[5] Nikolaos Soulakellis,et al. The use of Sentinel-2 imagery for seagrass mapping: Kalloni Gulf (Lesvos Island, Greece) case study , 2016, International Conference on Remote Sensing and Geoinformation of Environment.
[6] Russell G. Congalton,et al. Evaluating the Effectiveness of Unmanned Aerial Systems (UAS) for Collecting Thematic Map Accuracy Assessment Reference Data in New England Forests , 2019, Forests.
[7] John A. Richards,et al. Remote Sensing Digital Image Analysis , 1986 .
[8] Marios Batsaris,et al. A Protocol for Aerial Survey in Coastal Areas Using UAS , 2019, Remote. Sens..
[9] Serge A. Wich,et al. Location, location, location: considerations when using lightweight drones in challenging environments , 2018 .
[10] Morton J. Canty,et al. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition , 2014 .
[11] M. Canty. Image Analysis, Classification, and Change Detection in Remote Sensing , 2006 .
[12] Colin P. Stark,et al. Drones as tools for monitoring beach topography changes in the Ligurian Sea (NW Mediterranean) , 2016, Geo-Marine Letters.
[13] J. Shutler,et al. Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone , 2018 .
[14] V. Klemas,et al. Coastal and Environmental Remote Sensing from Unmanned Aerial Vehicles: An Overview , 2015 .
[15] M. Finkbeiner,et al. Guidance for benthic habitat mapping: an aerial photographic approach , 2001 .
[16] Konstantinos N. Topouzelis,et al. Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data , 2016, ISPRS Int. J. Geo Inf..
[17] Re Mount,et al. Acquisition of Through-water Aerial Survey Images: Surface Effects and the Prediction of Sun Glitter and Subsurface Illumination , 2005 .
[18] Frederick T. Short,et al. Accelerating loss of seagrasses across the globe threatens coastal ecosystems , 2009, Proceedings of the National Academy of Sciences.
[19] Daniele Ventura,et al. Mapping and Classification of Ecologically Sensitive Marine Habitats Using Unmanned Aerial Vehicle (UAV) Imagery and Object-Based Image Analysis (OBIA) , 2018, Remote. Sens..
[20] Russell G. Congalton,et al. Thematic and positional accuracy assessment of digital remotely sensed data , 2007 .
[21] I. Colomina,et al. Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .
[22] ASSESSING THE POSITIONAL AND THEMATIC ACCURACY OF REMOTELY SENSED DATA , 2004 .
[23] Ross S. Lunetta,et al. Remote Sensing and GIS Accuracy Assessment , 2007 .
[24] Giulia Sofia,et al. Structure from motion photogrammetric technique , 2020 .
[25] Michael Goesele,et al. Multi-View Stereo Revisited , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[26] James C. Gibeaut,et al. Using UAS Hyperspatial RGB Imagery for Identifying Beach Zones along the South Texas Coast , 2017, Remote. Sens..
[27] Kazuo Nadaoka,et al. Mapping of seagrass and other benthic habitats in Bolinao, Pangasinan using Worldview-2 satellite image , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[28] Maycira P. F. Costa,et al. Mapping with confidence; delineating seagrass habitats using Unoccupied Aerial Systems (UAS) , 2018, Remote Sensing in Ecology and Conservation.
[29] Edward B. Barbier,et al. Seagrass Ecosystem Services and Their Variability across Genera and Geographical Regions , 2016, PloS one.
[30] Antoine Collin,et al. Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques , 2017, Coral Reefs.
[31] P. Mumby,et al. Remote Sensing Handbook for Tropical Coastal Management , 2000 .
[32] Javier Marcello,et al. High-Resolution Maps of Bathymetry and Benthic Habitats in Shallow-Water Environments Using Multispectral Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[33] R. González,et al. Mapping seagrass meadows, using low altitude aerial images , 2015 .
[34] Muhammad Anshar Amran,et al. Estimation of Seagrass Coverage by Depth Invariant Indices on Quickbird Imagery , 2011 .
[35] Peter Reinartz,et al. Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas , 2018, Remote. Sens..
[36] Christos Vasilakos,et al. Multi-scale seagrass mapping in satellite data and the use of UAS in accuracy assessment , 2018, International Conference on Remote Sensing and Geoinformation of Environment.
[37] A. Deidun,et al. Optimising beached litter monitoring protocols through aerial imagery. , 2018, Marine pollution bulletin.
[38] Russell G. Congalton,et al. Assessing the accuracy of remotely sensed data : principles and practices , 1998 .
[39] Jean-François Mas,et al. A Suite of Tools for Assessing Thematic Map Accuracy , 2014 .