Capability assessment and performance metrics for the titan multispectral mapping lidar

Remote Sensing

Volumn 8, Issue 11, 2016, Pages

  Fernandez Diaz, Juan Carlos ^a,b   Carter, William E ^a,b   Glennie, Craig ^a,b   Shrestha, Ramesh L ^a,b   Pan, Zhigang ^a,b   Ekhtari, Nima ^a,b   Singhania, Abhinav ^a,b   Hauser, Darren ^a,b   Sartori, Michael ^a,b  

^a National Center for Airborne Laser Mapping   (United States)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Active imagery; Airborne laser scanning; Lidar accuracy; Lidar bathymetry; Lidar range resolution; Mapping lidar; Multispectral lidar

Indexed keywords

BATHYMETRY; LASER MIRRORS; MAPPING;

ACTIVE IMAGERY; AIRBORNE LASER SCANNING; AUTOMATED CLASSIFICATION; LIGHT DETECTION AND RANGING; MULTI-SPECTRAL; PERFORMANCE CHARACTERISTICS; PULSE REPETITION FREQUENCIES; RANGE RESOLUTION;

OPTICAL RADAR;

EID: 85018500892     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8110936     Document Type: Article

References (65)

1. Glennie, C.L.; Carter,W.E.; Shrestha, R.L.; Dietrich,W.E. Geodetic imaging with airborne lidar: The earth's surface revealed. Rep. Prog. Phys. Phys. Soc. 2013, 76, 086801
2. Antonarakis, A.; Richards, K.S.; Brasington, J. Object-based land cover classification using airborne lidar. Remote Sens. Environ. 2008, 112, 2988-2998
3. Stevens, C.W.;Wolfe, S.A. High-resolution mapping of wet terrain within discontinuous permafrost using lidar intensity. Permafr. Periglac. Process. 2012, 23, 334-341
4. Höfle, B.; Pfeifer, N. Correction of laser scanning intensity data: Data and model-driven approaches. ISPRS J. Photogramm. Remote Sens. 2007, 62, 415-433
5. Yan,W.Y.; Shaker, A.; Habib, A.; Kersting, A.P. Improving classification accuracy of airborne lidar intensity data by geometric calibration and radiometric correction. ISPRS J. Photogramm. Remote Sens. 2012, 67, 35-44
6. Kashani, A.; Olsen, M.; Parrish, C.; Wilson, N. A review of lidar radiometric processing: From AD HOC intensity correction to rigorous radiometric calibration. Sensors 2015, 15, 28099
7. Kaasalainen, S.; Hyyppa, H.; Kukko, A.; Litkey, P.; Ahokas, E.; Hyyppa, J.; Lehner, H.; Jaakkola, A.; Suomalainen, J.; Akujarvi, A. Radiometric calibration of lidar intensity with commercially available reference targets. IEEE Trans. Geosci. Remote Sens. 2009, 47, 588-598
8. Goepfert, J.; Soergel, U.; Brzank, A. Integration of intensity information and echo distribution in the filtering process of lidar data in vegetated areas. In Proceedings of the SilviLaser, Edinburgh, UK, 17-19 September 2008
9. Wang, C.; Glenn, N.F. Integrating lidar intensity and elevation data for terrain characterization in a forested area. IEEE Geosci. Remote Sens. Lett. 2009, 6, 463-466
10. Dalponte, M.; Bruzzone, L.; Gianelle, D. Fusion of hyperspectral and lidar remote sensing data for classification of complex forest areas. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1416-1427
11. Hopkinson, C.; Chasmer, L. Using discrete laser pulse return intensity to model canopy transmittance. Photogramm. J. Finl. 2007, 20, 16-26
12. Hopkinson, C.; Chasmer, L. Testing lidar models of fractional cover across multiple forest ecozones. Remote Sens. Environ. 2009, 113, 275-288
13. Donoghue, D.N.;Watt, P.J.; Cox, N.J.;Wilson, J. Remote sensing of species mixtures in conifer plantations using lidar height and intensity data. Remote Sens. Environ. 2007, 110, 509-522
14. Renslow, M.S. Manual of Airborne Topographic Lidar; American Society for Photogrammetry and Remote Sensing: Bethesda, MD, USA, 2012
15. Feigels, V.; Kopilevich, Y.I. Lasers for lidar bathymetry and oceanographic research: Choice criteria. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS'94, Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation, Amherst, MA, USA, 8-12 August 1994; pp. 475-478
16. Fernandez-Diaz, J.C.; Glennie, C.L.; Carter,W.E.; Shrestha, R.L.; Sartori, M.P.; Singhania, A.; Legleiter, C.J.; Overstreet, B.T. Early results of simultaneous terrain and shallow water bathymetry mapping using a single-wavelength airborne lidar sensor. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2013, 7, 623-635
17. Briese, C.; Pfennigbauer, M.; Lehner, H.; Ullrich, A.; Wagner, W.; Pfeifer, N. Radiometric calibration of multi-wavelength airborne laser scanning data. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2012, 1, 335-340
18. Hartzell, P.; Glennie, C.; Biber, K.; Khan, S. Application of multispectral lidar to automated virtual outcrop geology. ISPRS J. Photogramm. Remote Sens. 2014, 88, 147-155
19. Chen, Y.; Räikkönen, E.; Kaasalainen, S.; Suomalainen, J.; Hakala, T.; Hyyppä, J.; Chen, R. Two-channel hyperspectral lidar with a supercontinuum laser source. Sensors 2010, 10, 7057-7066
20. Woodhouse, I.H.; Nichol, C.; Sinclair, P.; Jack, J.; Morsdorf, F.; Malthus, T.J.; Patenaude, G. A multispectral canopy lidar demonstrator project. IEEE Geosci. Remote Sens. Lett. 2011, 8, 839-843
21. Wei, G.; Shalei, S.; Bo, Z.; Shuo, S.; Faquan, L.; Xuewu, C. Multi-wavelength canopy lidar for remote sensing of vegetation: Design and system performance. ISPRS J. Photogramm. Remote Sens. 2012, 69, 1-9
22. Pfennigbauer, M.; Ullrich, A. Multi-wavelength airborne laser scanning. In Proceedings of the International Lidar Mapping Forum, ILMF, New Orleans, LA, USA, 7-9 February 2011
23. Fernandez Diaz, J.C.; Carter, W.E.; Glenie, C.; Shrestha, R.L. Multicolor terrain mapping documents critical environments. Eos Trans. Am. Geophys. Union 2016, 97, 10-15
24. Spieler, H. Class Notes: Introduction to Radiation Detectors and Electronics. Available online: http://wwwphysics. lbl.gov/~spieler/physics_198_notes/(accessed on 7 November 2016)
25. Lackowicz, J.R. Principle of Fluorescence Spectroscopy, 3rd ed.; Springer: New York, NY, USA, 2006; Volume 1, p. 954
26. Optech_Inc. Overcoming the Timing Limit with Multipulse Technology Altm Gemini. 2007. Available online: http://www.geo-konzept.de/data/downloads/AltMaxPaperWEB.pdf (accessed on 7 November 2016)
27. Roth, R.; Thompson, J. Practical application of multiple pulse in air (mpia) lidar in large area surveys. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2008, 37, 183-188
28. Wang, C.K.; Tseng, Y.H.; Chu, H.J. Airborne dual-wavelength lidar data for classifying land cover. Remote Sens. 2014, 6, 700-715
29. Morsy, S.; Shaker, A.; El-Rabbany, A.; LaRocque, P. Airborne multispectral lidar data for land-cover classification and land/water mapping using different spectral indexes. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 2016, 217-224
30. Wallace, A.M.; McCarthy, A.; Nichol, C.J.; Ren, X.; Morak, S.; Martinez-Ramirez, D.; Woodhouse, I.H.; Buller, G.S. Design and evaluation of multispectral lidar for the recovery of arboreal parameters. IEEE Trans. Geosci. Remote Sens. 2014, 52, 4942-4954
31. Doneus, M.; Briese, C. Airborne laser scanning in forested areas-Potential and limitations of an archaeological prospection technique. In Remote Sensing for Archaeological Heritage Management; Cowley, D.C., Ed.; Europae Archaeologica Consilium (EAC): Brussels, Belgium, 2011
32. Hartzell, P.J.; Fernandez-Diaz, J.C.; Wang, X.; Glennie, C.L.; Carter, W.E.; Shrestha, R.L.; Singhania, A.; Sartori, M.P. Comparison of Synthetic Images Generated from Lidar Intensity and Passive Hyperspectral Imagery. In Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, Canada, 13-18 July 2014; pp. 1345-1348
33. Debes, C.; Merentitis, A.; Heremans, R.; Hahn, J.; Frangiadakis, N.; van Kasteren, T.; Liao,W.; Bellens, R.; Pižurica, A.; Gautama, S. Hyperspectral and lidar data fusion: Outcome of the 2013 grss data fusion contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2014, 7, 2405-2418
34. Richards, J.A.; Jia, X. Remote Sensing Digital Image Analysis; Springer: Berlin, Germany, 1999; Volume 3
35. Hopkinson, C.; Chasmer, L.; Gynan, C.; Mahoney, C.; Sitar, M. Multisensor and multispectral lidar characterization and classification of a forest environment. Can. J. Remote Sens. 2016, 42, 501-520
36. Habib, A.F.; Kersting, A.P.; Shaker, A.; Yan,W.-Y. Geometric calibration and radiometric correction of lidar data and their impact on the quality of derived products. Sensors 2011, 11, 9069-9097
37. Briese, C.; Pfennigbauer, M.; Ullrich, A.; Doneus, M. Multi-wavelength airborne laser scanning for archaeological prospection. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2013, 40, 119-124
38. Starek, M.J.; Vemula, R.K.; Slatton, K.C.; Shrestha, R.L.; Carter, W.E. Shoreline based feature extraction and optimal feature selection for segmenting airborne lidar intensity images. In Proceedings of the 2007 IEEE International Conference on Image Processing, San Antonio, TX, USA, 16-19 September 2007; pp. IV-369-IV-372
39. Crasto, N.; Hopkinson, C.; Forbes, D.; Lesack, L.; Marsh, P.; Spooner, I.; van der Sanden, J. A lidar-based decision-tree classification of open water surfaces in an arctic delta. Remote Sens. Environ. 2015, 164, 90-102
40. Baker, K.; Smith, R. Quasi-inherent characteristics of the diffuse attenuation coefficient for irradiance. In Ocean Optics VI; International Society for Optics and Photonics: Bellingham, WA, USA, 1980; pp. 60-63
41. Austin, R.W.; Halikas, G. The Index of Refraction of Seawater. 1976. Available online: https://escholarship. org/uc/item/8px2019m#page-1 (accessed on 7 November 2016)
42. Pan, Z.; Glennie, C.; Hartzell, P.; Fernandez-Diaz, J.; Legleiter, C.; Overstreet, B. Performance assessment of high resolution airborne full waveform lidar for shallow river bathymetry. Remote Sens. 2015, 7, 5133-5159
43. Legleiter, C.; Overstreet, B.; Glennie, C.; Pan, Z.; Fernandez-Diaz, J.; Singhania, A. Evaluating the capabilities of the casi hyperspectral imaging system and aquarius bathymetric lidar for measuring channel morphology in two distinct river environments. Earth Surf. Process. Landf. 2015
44. Wright, C.W. Eaarl-B missions, calibration and validation. In Proceedings of the 15th Annual JALBTCX Airborne Coastal Mapping and Charting Workshop, Mobile, AL, USA, 10-12 June 2014
45. Wulder, M.A.; White, J.C.; Nelson, R.F.; Næsset, E.; Ørka, H.O.; Coops, N.C.; Hilker, T.; Bater, C.W.; Gobakken, T. Lidar sampling for large-area forest characterization: A review. Remote Sens. Environ. 2012, 121, 196-209
46. Jakubowski, M.K.; Li,W.; Guo, Q.; Kelly, M. Delineating individual trees from lidar data: A comparison of vector-and raster-based segmentation approaches. Remote Sens. 2013, 5, 4163-4186
47. Wallace, L.; Lucieer, A.; Watson, C.S. Evaluating tree detection and segmentation routines on very high resolution uav lidar data. IEEE Trans. Geosci. Remote Sens. 2014, 52, 7619-7628
48. Hopkinson, C. The influence of lidar acquisition settings on canopy penetration and laser pulse return characteristics. In Proceedings of the 2006 IEEE International Symposium on Geoscience and Remote Sensing, Denver, CO, USA, 31 July-4 August 2006; pp. 2420-2423
49. Chasmer, L.; Hopkinson, C.; Treitz, P. Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar. Can. J. Remote Sens. 2006, 32, 116-125
50. Hopkinson, C. The influence of flying altitude, beam divergence, and pulse repetition frequency on laser pulse return intensity and canopy frequency distribution. Can. J. Remote Sens. 2007, 33, 312-324
51. Massaro, R.; Zinnert, J.; Anderson, J.; Edwards, J.; Crawford, E.; Young, D. Lidar flecks: Modeling the influence of canopy type on tactical foliage penetration by airborne, active sensor platforms. In SPIE Defense, Security, and Sensing; International Society for Optics and Photonics: Bellingham,WA, USA, 2012; pp. 836008-836010
52. Hsu, W.C.; Shih, P.T.Y.; Chang, H.C.; Liu, J.K. A study on factors affecting airborne lidar penetration. Terr. Atmos. Ocean. Sci. 2015, 26, 241-251
53. Fernandez-Diaz, J.C.; Lee, H.; Glennie, C.L.; Carter, W.E.; Shrestha, R.L.; Singhania, A.; Sartori, M.P.; Hauser, D.L. Optimizing ground return detection through forest canopies with small footprint airborne mapping lidar. In Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, QC, Canada, 13-18 July 2014; pp. 1963-1966
54. Axelsson, P. DEM generation from laser scanner data using adaptive tin models. Int. Arch. Photogramm. Remote Sens. 2000, 33, 111-118
55. Vierling, K.T.; Vierling, L.A.; Gould, W.A.; Martinuzzi, S.; Clawges, R.M. Lidar: Shedding new light on habitat characterization and modeling. Front. Ecol. Environ. 2008, 6, 90-98
56. Zolkos, S.; Goetz, S.; Dubayah, R. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sens. Environ. 2013, 128, 289-298
57. Baltsavias, E.P. Airborne laser scanning: Basic relations and formulas. ISPRS J. Photogramm. Remote Sens. 1999, 54, 199-214
58. Parrish, C.E.; Jeong, I.; Nowak, R.D.; Smith, R.B. Empirical comparison of full-waveform lidar algorithms. Photogramm. Eng. Remote Sens. 2011, 77, 825-838
59. Slatton, K.C.; Carter, W.E.; Shrestha, R.L.; Dietrich, W. Airborne laser swath mapping: Achieving the resolution and accuracy required for geosurficial research. Geophys. Res. Lett. 2007, 34
60. Cossio, T.K.; Slatton, K.C.; Carter, W.E.; Shrestha, K.Y.; Harding, D. Predicting small target detection performance of low-snr airborne lidar. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2010, 3, 672-688
61. Fernandez-Diaz, J.; Carter,W.; Shrestha, R.; Glennie, C. Now you see it. . now you don't: Understanding airborne mapping lidar collection and data product generation for archaeological research in mesoamerica. Remote Sens. 2014, 6, 9951-10001
62. Penttinen, J.T. The Telecommunications Handbook: Engineering Guidelines for Fixed, Mobile and Satellite Systems; John Wiley & Sons: Chichester, UK, 2015
63. Laneman, J.N.; Martinian, E.; Wornell, G.W.; Apostolopoulos, J.G. Source-channel diversity for parallel channels. IEEE Trans. Inf. Theory 2005, 51, 3518-3539
64. Glennie, C. Rigorous 3D error analysis of kinematic scanning lidar systems. J. Appl. Geod. Jag 2007, 1, 147-157
65. Heidemann, H.K. Lidar Base Specification (Version 1.2, November 2014). Available online: https://pubs. usgs.gov/tm/11b4/pdf/tm11-B4.pdf (accessed on 7 November 2016)