Kite Aerial Photography for Low-Cost, Ultra-high Spatial Resolution Multi-Spectral Mapping of Intertidal Landscapes

PLoS ONE

Volumn 8, Issue 9, 2013, Pages

  Bryson, Mitch ^a   Johnson Roberson, Matthew ^b   Murphy, Richard J ^a   Bongiorno, Daniel ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUSTRALIA; AUTOMATION; CAMERA; COST CONTROL; DIGITAL CAMERA; ENVIRONMENTAL MONITORING; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERTIDAL ZONE; KITE AERIAL PHOTOGRAPHY; LANDSCAPE; PHOTOGRAPHY; RADIATION DETECTOR; REMOTE SENSING; SEASHORE; SPECTRORADIOMETER; THREE DIMENSIONAL IMAGING; WAVEFORM;

AIRCRAFT; ECOLOGY; PHOTOGRAPHY;

EID: 84884402703     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0073550     Document Type: Article

References (57)

1. Underwood A, (2000) Experimental ecology of rocky intertidal habitats: what are we learning? Journal of Experimental Marine Biology and Ecology 250: 51-76.
2. Beck M, (1998) Comparison of the Measurement and Effects of Habitat Structure on Gastropods in Rocky Intertidal and Mangrove Habitats. Marine Ecology Progress Series 169: 165-178.
3. Forster R, Jesus B, (2006) Field Spectroscopy of Estuarine Intertidal Habitats. International Journal of Remote Sensing 27: 3657-3669.
4. Murphy R, Tolhurst T, Chapman M, Underwood A, (2008) Spatial Variation of Chlorophyll on Estuarine Mudflats determined by Field-based Remote Sensing. Marine Ecology Progress Series 365: 45-55.
5. Meager J, Schlacher T, Green M, (2011) Topographic Complexity and Landscape Temperature Patterns create a Dynamic Habitat Structure on a Rocky Intertidal Shore. Marine Ecology Progress Series 428: 1-12.
6. Wang K, Franklin S, Guo X, Cattet M, (2010) Remote Sensing of Ecology, Biodiversity and Con- servation: A Review from the Perspective of Remote Sensing Specialists. Sensors 10: 9647-9667.
7. Xharde R, Long B, Forbes D (2006) Accuracy and Limitations of Airborne LiDAR Surveys in Coastal Environments. In: IEEE Geoscience and Remote Sensing Symposium.
8. Knudby A, LeDrew E, Newman C, (2007) Progress in the use of Remote Sensing for Coral Reef Biodiversity Studies. Progress in Physical Geography 31: 421-434.
9. Mumby P, Green E, Edwards A, Clark C, (1999) The cost-effectiveness of remote sensing for tropical coastal resources assessment and management. Journal of Environmental Management 55: 157-166.
10. Underwood A, (1994) On beyond BACI: Sampling designs that might reliably detect environmental disturbances. Ecological Applications 4: 3-15.
11. Decho A, Fleeger J, (1988) Microscale dispersion of meibenthic copepods in response to food- resource patchiness. Journal of Experimental Marine Biology and Ecology 118: 229-243.
12. Denny M, Helmuth B, Leonard G, Harley C, Hunt L, et al. (2004) Quantifying scale in ecology: Lessons from a wave-swept shore. Ecological Monographs 74: 513-532.
13. Saburova M, Polikarpov I, Burkovsky I, (1995) Spatial structure of an intertidal sandflat micro- phytobenthic community as related to different spatial scales. Marine Ecology Progress Series 129: 229-239.
14. Sandulli R, Pinckney J, (1999) Patch sizes and spatial patterns of meiobenthic copepods and bentic microalgae in sandy sediments: a microscale approach. Journal of Sea Research 41: 179-187.
15. Sun B, Fleeger J, Carney R, (1993) Sediment microtopography and the small-scale spectial distribution of meiofauna. Journal of Experimental Marine Biology and Ecology 167: 73-90.
16. Underwood A, Chapman M, (1996) Scales of spatial pattern of distribution of intertidal inverte- brates. Oecologia 107: 212-224.
17. Thompson R, Norton T, Hawkins S, (2004) Physical stress and biological control regulate the producer-consumer balance in intertidal biofilms. Ecology 85: 1372-1382.
18. Bajjouk T, Populus J, Guillaumont B, (1998) Quantification of Subpixel Cover Fractions using Principle Component Analysis and a Linear Programming Method: Application to the Coastal Zone of Roscoff (France). Remote Sensing of Environment 64: 153-165.
19. van der Wal D, Herman P, Forster R, Ysebaert T, Rossi F, et al. (2008) Distribution and Dynamics of Intertidal Macrobenthos Predicted from Remote Sensing: Response to Microphytobenthos and Environment. Marine Ecology Progress Series 367: 57-72.
20. Kromkamp J, Morris E, Forster R, Honeywill C, Hagerthey S, et al. (2006) Relationship of Inter- tidal Surface Sediment Chlorophyll Concentration to Hyperspectral Reflectance and Chlorophyll Fluorescence. Estuaries and Coasts 29: 183-196.
21. Meleder V, Barille L, Launeau P, Carrere V, Rince Y, (2003) Spectrometric Constraint in Analysis of Benthic Diatom Biomass using Monospecific Cultures. Remote Sensing of Environment 88: 386-400.
22. Murphy R, Underwood A, Jackson A, (2009) Field-based Remote Sensing of Intertidal Epilithic Chlorophyll: Techniques using Specialised and Conventional Digital Cameras. Journal of Experi- mental Marine Biology and Ecology 380: 68-76.
23. Verhoeven G, (2009) Providing an Archaeological Bird's-eye View- an Overall Picture of Ground-based Means to Execute Low-altitude Aerial Photography in Archaeology. Archaeological Prospection 16: 233-249.
24. Scoffin T, (1982) Reef Aerial Photography from a Kite. Coral Reefs 1: 67-69.
25. Fraser W, Carlson J, Duley P, Holm E, Patterson D, (1999) Using kite-based aerial photography for conducting Adelie penguin censuses in Antarctica. Waterbirds 23: 435-440.
26. Sklaver B, Manangan A, Bullard S, Svanberg A, Handzel T, (2006) Rapid Imagery through Kite Aerial Photography in a Complex Humanitarian Emergency. International Journal of Remote Sensing 27: 4709-4714.
27. Aber J, Sobieski R, Distler D, Nowak M, (1999) Kite Aerial Photography for Environmental Site Investigations in Kansas. Kansas Academy of Science 102: 57-67.
28. Aber J, Aber S, Leffler B, (2001) Challange of Infrared Kite Aerial Photography. Trans of the Kansas Academy of Science 104: 18-27.
29. Murray J, Neal M, Labrosse F, (2013) Development and Deployment of an Intelligent Kite Aerial Photography Platform (iKAPP) for Site Surveying and Image Acquisition. Journal of Field Robotics 30: 288-307.
30. Wundram D, Loffler J, (2008) High-resolution Spatial Analysis of Mountain Landscapes using a Low-altitude Remote Sensing Approach. International Journal of Remote Sensing 29: 961-974.
31. Smith M, Chandler J, Rose J, (2009) High spatial resolution data acquisition for the geosciences: kite aerial photography. Earth Surface Processes and Landforms 34: 155-161.
32. Marzolff I, Poesen J, (2009) The Potential of 3D gully Monitoring with GIS using High-resolution Aerial Photography and a Digital Photogrammetry System. Geomorphology 111: 48-60.
33. Guichard F, Bourget E, Agnard J, (2000) High-resolution remote sensing of intertidal ecosystems: A low-cost technique to link scale-dependent patterns and processes. Limnology and Oceanography 45: 328-338.
34. Anderson K, Gaston K, (2013) Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment 11: 138-146.
35. Rango A, Laliberte A, Steele C, Herrick J, Bestelmeyer B, et al. (2008) Using Unmanned Aerial Vehicles for Rangelands: Current Applications and Future Potentials. Environmental Practice 8: 159-168.
36. Bryson M, Reid A, Ramos F, Sukkarieh S, (2010) Airborne Vision-Based Mapping and Classification of Large Farmland Environments. Journal of Field Robotics 27: 632-655.
37. Turner D, Lucieer A, Watson C, (2012) An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sensing 4: 1392-1410.
38. Harwin S, Lucieer A, (2012) Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery. Remote Sensing 4: 1573-1599.
39. Hartley R, Zisserman A (2003) Multiple View Geometry in Computer Vision. Cambridge University Press.
40. Frahm J, Pollefeys M, Lazebnik S, Gallup D, Clipp B, et al. (2010) Fast robust large-scale mapping from video and internet photo collections. ISPRS Journal of Photogrammetry and Remote Sensing 65: 538-549.
41. Agarwal S, Snavely N, Seitz S, Szeliski R (2010) Bundle Adjustment in the Large. In: European Conference on Computer Vision.
42. Pike T, (2011) Using digital cameras to investigate animal colouration: estimating sensor sensitivity functions. Behavioral Ecology and Sociobiology 65: 849-858.
43. Finlayson G, Hordley S, Hubel P (1998) Recovering device sensitivities with quadratic program- ming. In: IS and T/SID sixth color imaging conference: color science, systems and applications. pp. 90-95.
44. Vedaldi A, Fulkerson B (2008). VLFeat: An open and portable library of computer vision algo- rithms (http://www.vlfeat.org/).
45. Beis J, Lowe D (2003) Shape indexing using approximate nearest-neighbor search in high- dimensional spaces. In: Computer Vision and Pattern Recognition. pp. 1000-1006.
46. Torr P, Murray D, (1997) The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix. International Journal of Computer Vision 24: 271-300.
47. Snavely N, Seitz S, Szeliski R, (2008) Modeling the world from Internet photo collections. International Journal of Computer Vision 80: 189-210.
48. Furukawa Y, Ponce J, (2010) Accurate, Dense, and Robust Multi-View Stereopsis. IEEE Trans on Pattern Analysis and Machine Intelligence 32: 1362-1376.
49. Horn BKP, (1987) Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America 4: 629-642.
50. Barber C, Dobkin D, Huhdanpaa H, (1996) The Quickhull algorithm for convex hulls. ACM Trans on Mathematical Software 22: 469-483.
51. Johnson-Roberson M, Pizarro O, Williams S, Mahon I, (2010) Generation and Visualization of Large-scale Three-dimensional Reconstructions from Underwater Robotic Surveys. Journal of Field Robotics 27: 21-51.
52. Murphy R, Underwood A, Tolhurst T, Chapman M, (2008) Field-based Remote-sensing for Ex- perimental Intertidal Ecology: Case Studies using Hyperspatial and Hyperspectral Data for New South Wales (Australia). Remote Sensing of Environment 112: 3353-3365.
53. Blaschke T, (2010) Object based image analysis for remote sensing. ISPRS Journal of Photogram-metry and Remote Sensing 65: 2-16.
54. Perkins R, Honeywill C, Consalvey M, Austin H, Tolhurst T, et al. (2003) Changes in microphy- tobenthic chlorophyll a and EPS resulting from sediment compaction due to dewatering: opposing patterns in concentration and content. Continental Shelf Research 23: 575-58.
55. Murphy R, Tolhurst T, (2009) Effects of experimental manipulation of algae and fauna on the properties of intertidal soft sediments. Journal of Experimental Marine Biology and Ecology 379: 77-84.
56. Kita Y (2008) A study of change detection from satellite images using joint intensity histogram. In: 19th International Conference on Pattern Recognition.
57. Sabuncu MR, Ramadge P, (2008) Using Spanning Graphs for Efficient Image Registration. IEEE Transactions on Image Processing 17: 788-797.