Emerging trends in topobathymetric LiDAR technology and mapping

References

• Abdalla, S., A. A. Kolahchi, M. Ablain, S. Adusumilli, S. A. Bhowmick, E. Alou-Font, and V. Zlotnicki. 2021. “Altimetry for the Future: Building on 25 Years of Progress.” Advances in Space Research 68 (2): 319–363. https://doi.org/10.1016/j.asr.2021.01.022.
   Web of Science ®Google Scholar
• Amirbagheri, K., A. Núñez-Carballosa, L. Guitart-Tarrés, and J. M. Merigó. 2018. “Research on Green Supply Chain: A Bibliometric Analysis.” Clean Technologies and Environmental Policy 21 (1): 3–22. https://doi.org/10.1007/s10098-018-1624-1.
   Web of Science ®Google Scholar
• Andersen, M. S., A. Gergely, Z. Al-Hamdani, F. Steinbacher, L. R. Larsen, and V. B. Ernstsen. 2017. “Processing and Performance of Topobathymetric Lidar Data for Geomorphometric and Morphological Classification in a High-Energy Tidal Environment.” Hydrology and Earth System Sciences 21 (1): 43–63. https://doi.org/10.5194/hess-21-43-2017.
   Web of Science ®Google Scholar
• Bian, X. L., Y. Shao, S. Wang, W. Tian, X. C. Wang, and C. Y. Zhang. 2018. “Shallow Water Depth Retrieval from Multitemporal Sentinel-1 SAR Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (9): 2991–3000. https://doi.org/10.1109/jstars.2018.2851845.
   Web of Science ®Google Scholar
• Bian, X. L., Y. Shao, C. Y. Zhang, C. Xie, and W. Tian. 2020. “The Feasibility of Assessing Swell-Based Bathymetry Using SAR Imagery from Orbiting Satellites.” Isprs Journal of Photogrammetry and Remote Sensing 168:124–130. https://doi.org/10.1016/j.isprsjprs.2020.08.006.
   Web of Science ®Google Scholar
• Boccia, V., A. Renga, G. Rufino, M. D’Errico, A. Moccia, C. Aragno, and S. Zoffoli. 2015. “Linear Dispersion Relation and Depth Sensitivity to Swell Parameters: Application to Synthetic Aperture Radar Imaging and Bathymetry.” Scientific World Journal 2015:1–10. https://doi.org/10.1155/2015/374579.
   Google Scholar
• Bovenga, F. 2020. “Special Issue “Synthetic Aperture Radar (SAR) Techniques and Applications”.” Sensors 20 (7): 1851. https://doi.org/10.3390/s20071851.
   PubMed Web of Science ®Google Scholar
• Boyack, K. W., and R. Klavans. 2010. “Co-Citation Analysis, Bibliographic Coupling, and Direct Citation: Which Citation Approach Represents the Research Front Most Accurately?” Journal of the American Society for Information Science and Technology 61 (12): 2389–2404. https://doi.org/10.1002/asi.21419.
   Web of Science ®Google Scholar
• Brodie, K. L., B. L. Bruder, R. K. Slocum, and N. J. Spore. 2019. “Simultaneous Mapping of Coastal Topography and Bathymetry from a Lightweight Multicamera UAS.” IEEE Transactions on Geoscience and Remote Sensing 57 (9): 6844–6864. https://doi.org/10.1109/tgrs.2019.2909026.
   Web of Science ®Google Scholar
• Burrough, P. A., R. A. McDonnell, and C. D. Lloyd. 2015. Principles of Geographical Information Systems. USA: Oxford University Press.
   Google Scholar
• Cancino, C. A., J. M. Merigo, F. Coronado, Y. Dessouky, and M. Dessouky. 2017. “Forty Years of Computers & Industrial Engineering: A Bibliometric Analysis.” Computers & Industrial Engineering 113:614–629. https://doi.org/10.1016/j.cie.2017.08.033.
   Web of Science ®Google Scholar
• Chelton, D. B., J. C. Ries, B. J. Haines, L.-L. Fu, and P. S. Callahan. 2001. “Satellite altimetry.” In International Geophysics, 1–ii. Vol. 69. Amsterdam, Netherlands: Elsevier.
   Google Scholar
• Chen, Y. Z. Zhu, L. Yuan, Z. Qiu, G. Chen, and L. Wang. 2021. “Refraction Correction and Coordinate Displacement Compensation in Nearshore Bathymetry Using ICESat-2 Lidar Data and Remote-Sensing Images.” Optics Express 29: 2411–2430.
   PubMed Web of Science ®Google Scholar
• Chust, G., M. Grande, I. Galparsoro, A. Uriarte, and A. Borja. 2010. “Capabilities of the Bathymetric Hawk Eye LiDar for Coastal Habitat Mapping: A Case Study within a Basque Estuary.” Estuarine Coastal and Shelf Science 89 (3): 200–213. https://doi.org/10.1016/j.ecss.2010.07.002.
   Web of Science ®Google Scholar
• Collin, A., J. L. Hench, Y. Pastol, S. Planes, L. Thiault, R. J. Schmitt, and M. Troyer. 2018. “High Resolution Topobathymetry Using a Pleiades-1 Triplet: Moorea Island in 3D.” Remote Sensing of Environment 208:109–119. https://doi.org/10.1016/j.rse.2018.02.015.
   Web of Science ®Google Scholar
• Collin, A., C. Ramambason, Y. Pastol, E. Casella, A. Rovere, L. Thiault, and N. Davies. 2018. “Very High Resolution Mapping of Coral Reef State Using Airborne Bathymetric LiDar Surface-Intensity and Drone Imagery.” International Journal of Remote Sensing 39 (17): 5676–5688. https://doi.org/10.1080/01431161.2018.1500072.
   Web of Science ®Google Scholar
• Danielson, J. J., S. K. Poppenga, J. C. Brock, G. A. Evans, D. J. Tyler, D. B. Gesch, and J. A. Barras. 2016. “Topobathymetric Elevation Model Development Using a New Methodology: Coastal National Elevation Database.” Journal of Coastal Research 76:75–89. https://doi.org/10.2112/si76-008.
   Web of Science ®Google Scholar
• Demoustier, C., and H. Matsumoto. 1993. “SEA-FLOOR ACOUSTIC REMOTE-SENSING with MULTIBEAM ECHO-SOUNDERS and BATHYMETRIC SIDESCAN SONAR SYSTEMS.” Marine Geophysical Researches 15 (1): 27–42. https://doi.org/10.1007/bf01204150.
   Web of Science ®Google Scholar
• Ding, Y., R. Rousseau, and D. Wolfram. 2016. Measuring Scholarly Impact. Vol. 287. New York, USA: Springer.
   Google Scholar
• Dobrovolskiy, A. 2022. Bathymetry Using UAV: Accuracy Concerns. In: SPH Engineering.
   Google Scholar
• Erena, M., J. F. Atenza, S. Garcia-Galiano, J. A. Dominguez, and J. M. Bernabe. 2019. “Use of Drones for the Topo-Bathymetric Monitoring of the Reservoirs of the Segura River Basin.” Water 11 (3): 445. https://doi.org/10.3390/w11030445.
   Web of Science ®Google Scholar
• Fanelli, S., L. Pratici, F. P. Salvatore, C. C. Donelli, and A. Zangrandi. 2023. “Big Data Analysis for Decision-Making Processes: Challenges and Opportunities for the Management of Health-Care Organizations.” Management Research Review 46 (3): 369–389. https://doi.org/10.1108/mrr-09-2021-0648.
   Web of Science ®Google Scholar
• Fernandez-Diaz, J. C., W. E. Carter, R. L. Shrestha, and C. L. Glennie. 2014. “Now You See It … Now You Don’t: Understanding Airborne Mapping LiDar Collection and Data Product Generation for Archaeological Research in Mesoamerica.” Remote Sensing 6 (10): 9951–10001. https://doi.org/10.3390/rs6109951.
   Web of Science ®Google Scholar
• Ferreira, I. O., L. C. de Andrade, V. G. Teixeira, and F. C. M. Santos. 2022. “State of Art of Bathymetric Surveys.” Boletim De Ciencias Geodesicas 28 (1): e2022002. https://doi.org/10.1590/s1982-21702022000100002.
   Web of Science ®Google Scholar
• Ferretti, A., C. Prati, and F. Rocca. 2001. “Permanent Scatterers in SAR Interferometry.” IEEE Transactions on Geoscience and Remote Sensing 39 (1): 8–20. https://doi.org/10.1109/36.898661.
   Web of Science ®Google Scholar
• Feygels, V. I., J. Y. Park, J. Wozencraft, J. Aitken, C. Macon, A. Mathur, and V. Ramnath. 2013, Apr 30-May 01. CZMIL (Coastal Zone Mapping and Imaging Lidar): From First Flights to First Mission Through System Validation.Proceedings of SPIE [Ocean sensing and monitoring v]. Conference on Ocean Sensing and Monitoring V, Baltimore, MD.
   Google Scholar
• Gao, J. 2009. “Bathymetric Mapping by Means of Remote Sensing: Methods, Accuracy and Limitations.” Progress in Physical Geography-Earth and Environment 33 (1): 103–116. https://doi.org/10.1177/0309133309105657.
   Web of Science ®Google Scholar
• Genchi, S. A., A. J. Vitale, G. M. E. Perillo, C. Seitz, and C. A. Delrieux. 2020. “Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost Technology.” Remote Sensing 12 (9): 1394. https://doi.org/10.3390/rs12091394.
   Web of Science ®Google Scholar
• Gesch, D. B., J. C. Brock, C. E. Parrish, J. N. Rogers, and C. W. Wright. 2016. “Introduction: Special Issue on Advances in Topobathymetric Mapping, Models, and Applications.” Journal of Coastal Research 76:1–3. https://doi.org/10.2112/si76-001.
   Web of Science ®Google Scholar
• Gisler, A., and J. Thayer. 2020. Setting a New Standard for Topo-Bathymetric Surveys. (Vol. Vol. 11 No. 1). Frederick, Maryland USA: LIDAR Magazine.
   Google Scholar
• Glänzel, W. and A. Schubert 2004. “Analysing Scientific Networks Through Co-Authorship.” In Handbook of Quantitative Science and Technology Research, edited by H. F. Moed, W. Glänzel, and U. Schmoch Dordrecht: Springer. doi:10.1007/1-4020-2755-9_12.
   Google Scholar
• Guenther, W., and D. Breitling. 1985. “Predominant Sensorimotor Area Left Hemisphere Dysfunction in Schizophrenia Measured by Brain Electrical-Activity Mapping.” Biological Psychiatry 20 (5): 515–532. https://doi.org/10.1016/0006-3223(85)90023-x.
   PubMed Web of Science ®Google Scholar
• Guisado-Pintado, E., D. W. T. Jackson, and D. Rogers. 2019. “3D Mapping Efficacy of a Drone and Terrestrial Laser Scanner Over a Temperate Beach-Dune Zone.” Geomorphology 328:157–172. https://doi.org/10.1016/j.geomorph.2018.12.013.
   Web of Science ®Google Scholar
• Hilldale, R. C., and D. Raff. 2008. “Assessing the Ability of Airborne LiDar to Map River Bathymetry.” Earth Surface Processes and Landforms 33 (5): 773–783. https://doi.org/10.1002/esp.1575.
   Web of Science ®Google Scholar
• Huber, S., L. B. Hansen, L. T. Nielsen, M. L. Rasmussen, J. Solvsteen, J. Berglund, and P. Moksnes. 2022. “Novel Approach to Large-Scale Monitoring of Submerged Aquatic Vegetation: A Nationwide Example from Sweden.” Integrated Environmental Assessment and Management 18 (4): 909–920. https://doi.org/10.1002/ieam.4493.
   PubMed Web of Science ®Google Scholar
• Islam, M. T., K. Yoshida, S. Nishiyama, K. Sakai, and T. Tsuda. 2021. “Characterizing Vegetated Rivers Using Novel Unmanned Aerial Vehicle-Borne Topo-Bathymetric Green Lidar: Seasonal Applications and Challenges.” River Research and Applications 38 (1): 44–58. https://doi.org/10.1002/rra.3875.
   Web of Science ®Google Scholar
• Jagalingam, P., B. J. Akshaya, and A. V. Hegde. 2015. Bathymetry Mapping Using Landsat 8 Satellite Imagery. 8th International Conference on Asian and Pacific Coasts (Apac 2015), 116, 560–566. https://doi.org/10.1016/j.proeng.2015.08.326
   Google Scholar
• Kashani, A. G., M. J. Olsen, C. E. Parrish, and N. Wilson. 2015. “A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration.” Sensors 15 (11): 28099–28128. https://doi.org/10.3390/s151128099.
   PubMed Web of Science ®Google Scholar
• Lague, D., and B. Feldmann. 2020. “Topo-Bathymetric Airborne LiDar for Fluvial-Geomorphology Analysis.” In Developments in Earth Surface Processes, editd by P. Tarolli, M. M. Simon, 25–54. Vol. 23. Elsevier.
   Google Scholar
• Letard, M., A. Collin, T. Corpetti, D. Lague, Y. Pastol, and A. Ekelund. 2022. “Classification of Land-Water Continuum Habitats Using Exclusively Airborne Topobathymetric Lidar Green Waveforms and Infrared Intensity Point Clouds.” Remote Sensing 14 (2): 341. https://doi.org/10.3390/rs14020341.
   Web of Science ®Google Scholar
• Letard, M., A. Collin, T. Corpetti, D. Lague, Y. Pastol, H. Gloria, and M. Mathilde. 2021. “Classification of Coastal and Estuarine Ecosystems Using Full-Waveform Topo-Bathymetric Lidar Data and Artificial Intelligence.” In Oceans 2021: San Diego - Porto.
   Google Scholar
• Liu, Z. Y. C., A. J. Chamberlin, K. Tallam, I. J. Jones, L. L. Lamore, J. Bauer, and G. A. De Leo. 2022. “Deep Learning Segmentation of Satellite Imagery Identifies Aquatic Vegetation Associated with Snail Intermediate Hosts of Schistosomiasis in Senegal, Africa.” Remote Sensing 14 (6): 1345. https://doi.org/10.3390/rs14061345.
   Web of Science ®Google Scholar
• Lubczonek, J., W. Kazimierski, G. Zaniewicz, and M. Lacka. 2022. “Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters.” Remote Sensing 14 (1): 105. https://doi.org/10.3390/rs14010105.
   Web of Science ®Google Scholar
• Lyzenga, D. R. 1978. “Passive Remote-Sensing Techniques for Mapping Water Depth and Bottom Features.” Applied Optics 17 (3): 379–383. https://doi.org/10.1364/ao.17.000379.
   PubMed Web of Science ®Google Scholar
• Madore, B., G. Imahori, J. Kum, S. White, A. Worthem, and B. Ieee. 2018. “Noaa’s Use of Remote Sensing Technology and the Coastal Mapping Program.” In Oceans 2018 Mts/IEEE Charleston.
   Google Scholar
• Mandlburger, G., C. Hauer, M. Wieser, and N. Pfeifer. 2015. “Topo-Bathymetric LiDar for Monitoring River Morphodynamics and Instream Habitats-A Case Study at the Pielach River.” Remote Sensing 7 (5): 6160–6195. https://doi.org/10.3390/rs70506160.
   Web of Science ®Google Scholar
• Mandlburger, G., M. Pfennigbauer, U. Riegl, A. Haring, M. Wieser, P. Glira, and L. Winiwarter. 2015, Sep 22-24. Complementing Airborne Laser Bathymetry with UAV-Based Lidar for Capturing Alluvial Landscapes.Proceedings of SPIE [Remote sensing for agriculture, ecosystems, and hydrology xvii]. Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII part of the International Symposium on Remote Sensing, Toulouse, FRANCE.
   Google Scholar
• Mandlburger, G., M. Pfennigbauer, R. Schwarz, S. Flory, and L. Nussbaumer. 2020. “Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDar Sensor.” Remote Sensing 12 (6): 986. https://doi.org/10.3390/rs12060986.
   Web of Science ®Google Scholar
• Martinez-Lopez, F. J., J. M. Merigo, L. Valenzuela-Fernandez, and C. Nicolas. 2018. “Fifty Years of the European Journal of Marketing: A Bibliometric Analysis.” European Journal of Marketing 52 (1–2): 439–468. https://doi.org/10.1108/ejm-11-2017-0853.
   Web of Science ®Google Scholar
• Massonnet, D., and K. L. Feigl. 1998. “Radar Interferometry and Its Application to Changes in the Earth’s Surface.” Reviews of Geophysics 36 (4): 441–500. https://doi.org/10.1029/97rg03139.
   Web of Science ®Google Scholar
• McKean, J., D. Nagel, D. Tonina, P. Bailey, C. W. Wright, C. Bohn, and A. Nayegandhi. 2009. “Remote Sensing of Channels and Riparian Zones with a Narrow-Beam Aquatic-Terrestrial LIDAR.” Remote Sensing 1 (4): 1065–1096. https://doi.org/10.3390/rs1041065.
   Web of Science ®Google Scholar
• Miller, P., and S. Addy. 2019. Topo-Bathymetric LiDar in Support of Hydromorphological Assessment, River Restoration an Flood Risk Management. CREW Report, 13 May 2019, 41.
   Google Scholar
• Mitchell, S., J. P. Thayer, and M. Hayman. 2010. “Polarization Lidar for Shallow Water Depth Measurement.” Applied Optics 49 (36): 6995–7000. https://doi.org/10.1364/ao.49.006995.
   PubMed Web of Science ®Google Scholar
• Moher, D., A. Liberati, J. Tetzlaff, D. G. Altman, and P. Grp. 2009. “Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement.” Journal of Clinical Epidemiology 62 (10): 1006–1012. https://doi.org/10.1016/j.jclinepi.2009.06.005.
   PubMed Web of Science ®Google Scholar
• Pan, Z. G., C. L. Glennie, J. C. Fernandez-Diaz, C. J. Legleiter, and B. Overstreet. 2016. “Fusion of LiDar Orthowaveforms and Hyperspectral Imagery for Shallow River Bathymetry and Turbidity Estimation.” IEEE Transactions on Geoscience and Remote Sensing 54 (7): 4165–4177. https://doi.org/10.1109/tgrs.2016.2538089.
   Web of Science ®Google Scholar
• Parker, H. and M. Sinclair. 2012. “The Successful Application of Airborne LiDar Bathymetry Surveys Using Latest Technology.” Korea & World Affairs 1–4. doi:10.1109/OCEANS-Yeosu.2012.6263588.
   Google Scholar
• Pe’eri, S., and B. Long. 2011. “LIDAR Technology Applied in Coastal Studies and Management.” Journal of Coastal Research 62:1–5. https://doi.org/10.2112/si_62_1.
   Web of Science ®Google Scholar
• Pereira, P., P. Baptista, T. Cunha, P. A. Silva, S. Romao, and V. Lafon. 2019. “Estimation of the Nearshore Bathymetry from High Temporal Resolution Sentinel-1A C-Band SAR Data - a Case Study.” Remote Sensing of Environment 223:166–178. https://doi.org/10.1016/j.rse.2019.01.003.
   Web of Science ®Google Scholar
• Quadros, N. D. 2016. Technology in Focus: Bathymetric Lidar. In (pp. 46–47). GIM International-The Worldwide Magazine for Geomatics.
   Google Scholar
• Rosen, P. A., S. Hensley, I. R. Joughin, F. K. Li, S. N. Madsen, E. Rodriguez, and R. M. Goldstein. 2000. “Synthetic Aperture Radar Interferometry - Invited Paper.” Proceedings of the Ieee 88 (3): 333–382. https://doi.org/10.1109/5.838084.
   Web of Science ®Google Scholar
• Smith, J., P. E. O’Brien, J. S. Stark, G. J. Johnstone, and M. J. Riddle. 2015. “Integrating Multibeam Sonar and Underwater Video Data to Map Benthic Habitats in an East Antarctic Nearshore Environment.” Estuarine, Coastal and Shelf Science 164:520–536. https://doi.org/10.1016/j.ecss.2015.07.036.
   Web of Science ®Google Scholar
• Steinbacher, F., R. Baran, M. S. Andersen, Z. Al-Hamdali, L. R. Larsen, M. Pfennigbauer, and V. B. Ernsten. 2016. “High-Resolution, Topobathymetric LiDar Coastal Zone Characterisation.” Hydrographische Nachrichten 105, 18–21. Rostock: Deutsche Hydrographische Gesellschaft.https://doi.org/10.23784/HN105-03.
   Google Scholar
• Stumpf, R. P., K. Holderied, and M. Sinclair. 2003. “Determination of Water Depth with High-Resolution Satellite Imagery Over Variable Bottom Types.” Limnology and Oceanography 48 (1): 547–556. https://doi.org/10.4319/lo.2003.48.1_part_2.0547.
   Web of Science ®Google Scholar
• Taramelli, A., A. Tomato, M. L. Magliozzi, S. Mariani, E. Valentini, M. Zavagli, and M. Rast, J. Nieke, J. Adams, M. Rast. 2020. “An Interaction Methodology to Collect and Assess User-Driven Requirements to Define Potential Opportunities of Future Hyperspectral Imaging Sentinel Mission.” Remote Sensing 12 (8): 1286. https://doi.org/10.3390/rs12081286.
   Web of Science ®Google Scholar
• Taramelli, A., E. Valentini, C. Innocenti, S. Cappucci, and Ieee. (2013). FHYL: Field Spectral Libraries, Airborne Hyperspectral Images and Topographic and Bathymetric Lidar Data for Complex Coastal Mapping. 2013 Ieee International Geoscience and Remote Sensing Symposium (Igarss), 2270–2273. https://doi.org/10.1109/igarss.2013.6723270
   Google Scholar
• Thurman, E., J. Riordan, D. Toal, and E. Ieee. 2007. “Automated Optimisation of Simultaneous Multibeam and Sidescan Sonar Seabed Mapping.” Oceans 2007 - Europe 1-3:721–726.
   Google Scholar
• Tonina, D., J. A. McKean, R. M. Benjankar, C. W. Wright, J. R. Goode, Q. W. Chen, and M. R. Edmondson, R. A. Carmichael, M. R. Edmondson. 2018. “Mapping River Bathymetries: Evaluating Topobathymetric LiDar Survey.” Earth Surface Processes and Landforms 44 (2): 507–520. https://doi.org/10.1002/esp.4513.
   Web of Science ®Google Scholar
• Tuell, G., K. Barbor, and J. Wozencraft. 2010, Apr 05-08. Overview of the Coastal Zone Mapping and Imaging Lidar (CZMIL): A New Multi-Sensor Airborne Mapping System for the US Army Corps of Engineers.Proceedings of SPIE [Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery xvi]. Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Orlando, FL.
   Google Scholar
• van der Linden, S., A. Okujeni, F. Canters, J. Degerickx, U. Heiden, P. Hostert, and F. Priem, B. Somers, F. Thiel. 2019. “Imaging Spectroscopy of Urban Environments.” Surveys in Geophysics 40 (3): 471–488. https://doi.org/10.1007/s10712-018-9486-y.
   Web of Science ®Google Scholar
• van Eck, N. J., and L. Waltman. 2010. “Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping.” Scientometrics 84 (2): 523–538. https://doi.org/10.1007/s11192-009-0146-3.
   PubMed Web of Science ®Google Scholar
• van Eck, N. J. and L. Waltman 2014. “Visualizing Bibliometric Networks.” In Measuring Scholarly Impact, edited by Y. Ding, R. Rousseau, and D. Wolfram Cham: Springer. doi:10.1007/978-3-319-10377-8_13.
   Google Scholar
• Viles, H. 2016. “Technology and Geomorphology: Are Improvements in Data Collection Techniques Transforming Geomorphic Science?” Geomorphology 270:121–133. https://doi.org/10.1016/j.geomorph.2016.07.011.
   Web of Science ®Google Scholar
• Wang, D. D., S. Xing, Y. He, J. Y. Yu, Q. Xu, and P. C. Li. 2022. “Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDar for Shallow Water Bathymetry and Object Detection.” Sensors 22 (4): 1379. https://doi.org/10.3390/s22041379.
   PubMed Web of Science ®Google Scholar
• Westoby, M. J., J. Brasington, N. F. Glasser, M. J. Hambrey, and J. M. Reynolds. 2012. “‘Structure-From-Motion’ Photogrammetry: A Low-Cost, Effective Tool for Geoscience Applications.” Geomorphology 179:300–314. https://doi.org/10.1016/j.geomorph.2012.08.021.
   Web of Science ®Google Scholar
• Zebker, H. A., and J. Villasenor. 1992. “Decorrelation in Interferometric Radar Echoes.” IEEE Transactions on Geoscience and Remote Sensing 30 (5): 950–959. https://doi.org/10.1109/36.175330.
   Web of Science ®Google Scholar
• Zhao, D. Z., and A. Strotmann. 2008. “Evolution of Research Activities and Intellectual Influences in Information Science 1996-2005: Introducing Author Bibliographic-Coupling Analysis.” Journal of the American Society for Information Science and Technology 59 (13): 2070–2086. https://doi.org/10.1002/asi.20910.
   Web of Science ®Google Scholar