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Environmental Monitoring and Management Read chapter Read first chapter

2019 | OriginalPaper | Chapter

21. Light Detection And Ranging (LiDAR)

Authors : Joseph Awange, John Kiema

Published in: Environmental Geoinformatics

Publisher: Springer International Publishing

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Abstract

Light Detection And Ranging (LiDAR) is an active laser measuring technology that combines laser scanning and Position and Orientation System (POS) in imaging for generation of accurate and dense 3D point clouds, Digital Elevation Models (DEMs) and Digital Surface Models (DSMs). Other value addition products such as contours, slope maps, tree and building height models and cut-and-fill models can also be produced from the primary LiDAR point cloud data.

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Literature
1.
Ackermann F (1999) Airborne laser scanning - present status and future expectations. ISPRS J Photogramm Remote Sens 54:64–67CrossRef
2.
Rizaldy A, Firdaus W (2012) Direct georeferencing: a new standard in photogrammetry for high accuracy mapping. ISPRS-Int Arch Photogramm, Remote Sens Spat Inf Sci 39:59
3.
Weng Q (2010) Remote sensing and GIS integration: theories, methods, and applications. McGraw-Hill, New York, 416p
4.
Webster TL, Forbes DL, Dickie S, Shreenan R (2004) Using topographic LiDAR to map flood risk from storm-surge events for Charlottetown, Prince Edward Island, Canada. Can J Remote Sens 30(1):64–76CrossRef
5.
6.
Alharthy A, Bethel J (2002) Heuristic filtering and 3D feature extraction from LiDAR data. In: International archives of photogrammetry and remote sensing (IAPRS), Graz, Austria, Vol. XXXIV, Part 3A, pp 29–34
7.
Kraus K (2007) Photogrammetry: geometry from images and laser scans (trans: Harley I and Kyle S) (2nd edn, Vol 1). Deutsche Nationalbibliothek
8.
Fieber KD, Davenport IJ, Ferryman JM, Gurney RJ, Walker JP, Hacker JM (2013) Analysis of full-waveform LiDAR data for classification of an orange orchard scene. ISPRS J Photogramm Remote Sens 82:63–82CrossRef
9.
Mikhail EM, Bethel JS, McGlone JC (2015) Introduction to modern photogrammetry. Wiley, New York
10.
11.
12.
13.
Jaffe JS, Moore KD, McLean J, Strand MP (2001) Underwater optical imaging: status and prospects. Oceanography 14(3):66CrossRef
14.
15.
16.
17.
Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) LiDAR remote sensing for ecosystem studies: LiDAR, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately estimate vegetation structural attributes and should be of particular interest to forest, landscape, and global ecologists. BioScience 52(1):19–30 (2002). https://​doi.​org/​10.​1641/​0006-3568(2002)052[0019:​LRSFES]2.​0.​CO;2
18.
19.
Tansey K, Selmes N, Anstee A, Tate NT, Denniss A (2009) Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data. Int J Remote Sens 30(2009):5195–5209CrossRef
20.
Garca M, Riao D, Chuvieco E, Danson FM (2010) Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data. Remote Sens Environ 114(4):816–830CrossRef
21.
22.
Cicimol A (2010) Classification of full-waveform airborne laser scanning data and extraction of attributes of vegetation for topographic mapping. PhD Thesis University of Leicester
23.
24.
Brunn A, Weidner U (1997) Extracting buildings from digital surface models. Int Arch Photogramm Remote Sens 32:27–34
25.
Clode S, Rottensteinerb F, Kootsookosc P, Zelniker E (2007) Detection and vectorization of roads from LiDAR data. Photogramm Eng Remote Sens 73:517–535CrossRef
26.
Forlani G, Nardinocchi C, Scaioni M, Zingaretti P (2006) Complete classification of raw LiDAR data and 3D reconstruction of buildings. Pattern Anal Appl 8:357–374CrossRef
27.
Haala N, Brenner C (1999) Extraction of buildings and trees in urban environments. ISPRS J Photogramm Remote Sens 54:130–137CrossRef
28.
Miliaresis G, Kokkas N (2007) Segmentation and object-based classification for the extraction of the building class from LiDAR DEMs. Comput Geosci 33:1076–1087CrossRef
29.
Kokkas N, (2005) City modeling and building reconstruction with Socet Set vol 5.2 BAE Systems. Customer presentation at the 2005 GXP Regional User Conference. Cambridge, England, pp 19–21
30.
Lee DH, Lee KM, Lee SU (2008) Fusion of LiDAR and imagery for reliable building extraction. Photogramm Eng Remote Sens 74:215–225CrossRef
31.
Secord J, Zakhor A (2007) Tree detection in urban regions using aerial LiDAR and image data. IEEE Geosci Remote Sens Lett 4:196–200CrossRef
32.
Sohn G, Dowman I (2005) Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction. ISPRS J Photogramm Remote Sens 62(1):43–63CrossRef
33.
Voss M, Sugumaran R (2008) Seasonal effect on tree species classification in an urban environment using hyperspectral data, LiDAR, and an object-oriented approach. Sensors 8:3020–3036CrossRef
34.
35.
36.
37.
Uddin W (2002) Evaluation of airborne LiDAR digital terrain mapping for highway corridor planning and design. Proc. Pecora. www.​isprs.​org
38.
39.
40.
41.
Grebby S, Naden J, Cunningham D, Tansey K (2011) Integrating airborne multispectral imagery and airborne LiDAR data for enhanced lithological mapping in vegetated terrain. Remote Sens Environ 115(1):214–226CrossRef
42.
43.
44.
Renslow M, Greenfield P, Guay T (2000) Evaluation of multi-return LiDAR for forestry applications. Project Report for the Inventory and Monitoring Steering Committee, RSAC-2060/4810-LSP-0001-RPT1
45.
46.
Wichmann V, Bremer M, Lindenberger J, Rutzinger M, Georges C, Petrini-Monteferri, F (2015) Evaluating the potential of multispectral airborne LiDAR for topographic mapping and land cover classification. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3/W5
47.
Spinhirne JD (1993) Micro pulse LiDAR. IEEE Trans Geosci Remote Sens 31(1):48CrossRef
48.
Konecny G (2003) Geoinformation: remote sensing, photogrammetry, geographic informa
49.
Renslow M (2005) The status of LiDAR today and future directions . Proceedings of ISPRS WG 1/2 ISPRS WG 1/2, Banff Workshop
50.
Aplin P, Atkinson PM, Curran PJ (1997) Fine spatial resolution satellite sensors for the next decade. Int J Remote Sens 18:3873–3881CrossRef
51.
Bähr H-P, Vögtle T (eds) (1998) Erderkundungssatelliten und ihre Produkte. Digitale Bildverarbeitung, vol 3. Wichmann Verlag, Heidelberg, pp 29–43
52.
Baltsavias E (1999) A comparison between photogrammetry and laser scanning. ISPRS J Photogramm Remote Sens 54:83–94CrossRef
53.
Campbell JB (2007) Introduction to remote sensing, 4th edn. Guilford Press, New York
54.
Congalton R, Green K (2009) Assessing the accuracy of remotely sensed data: principles and practices. Taylor & Francis Group, London
55.
Devillers R, Jeansoulin R (eds) (2006) Fundamentals of spatial data quality. ISTE Ltd, Washington, D.C
56.
Forshaw MRB, Haskell A, Miller PF, Stanley DJ, Townshend JRG (1983) Spatial resolution of remotely sensed imagery: a review paper. Int J Remote Sens 4(3):497–520CrossRef
57.
Fritz LW (1996) The Era of commercial earth observation satellites. Photogramm Eng Remote Sens 1:39–45
58.
Groot R, McLaughlin J (eds) (2000) Geospatial data infrastructure: concepts, cases and good practice. Oxford University Press, Oxford
59.
Guelman M, Ortenberg F (2009) Small satellite’s role in future hyperspectral earth observation missions. Acta Astronautica 64:1252–1263CrossRef
60.
Ho C, Robinson A, Millerm D, Davis M (2005) Overview of sensors and needs for environmental monitoring. Sensors 5:4–37CrossRef
61.
Jensen JR (2005) Introductory digital image processing: a remote sensing perspective, 3rd edn. Prentice-Hall, Upper Saddle River, NJ
62.
Joseph G (2000) How well do we understand earth observation electro-optical sensor parameters? ISPRS J Photogramm Remote Sens 55:9–12CrossRef
63.
Kiema JBK (2001) Multi-source data fusion and image compression in urban remote sensing. Doctor of Engineering. Dissertation. University of Karlsruhe (ISBN3-8265-9312-X) Shaker Verlag, 130p
64.
Kramer HJ, Cracknell A (2008) An overview of small satellites. Int J Remote Sens 29:4285–4337CrossRef
65.
Kumi-Boateng B (2012) A spatio-temporal based estimation of vegetation changes in the Tarkwa mining area of Ghana. Doctor of Philosophy. Dissertation. University of Mines and Technology, Ghana, 165p
66.
Kussul N, Shelestov A, Skakun S (2009) Grid and sensor web technologies for environmental monitoring. Earth Sci Inform 2(1–2):37–51CrossRef
67.
68.
Ma R (2005) DEM generation and building detection from LiDAR data. Photogramm Eng & Remote Sens 71(7):847–854CrossRef
69.
McCoy R (2005) Field methods in remote sensing. The Guilford Press, New York, 158p
70.
Murai S (2004) Remote sensing and GIS courses - distance education. Japan International Cooperation Agency (JICA)-Net
71.
Phinn SR (1998) A framework for selecting appropriate remote sensed data dimensions for environmental monitoring and management. Int J Remote Sens 19:3457–3463CrossRef
72.
Popescue SC, Wynne RH, Nelson RF (2003) Measuring individual tree crown diameter with LiDAR and assessing its influence on estimating forest volume and biomass. Can J Remote Sens 29:564–577CrossRef
73.
Porter J, Arzberger P, Braun H, Brynat P, Gage S, Hansen T, Lin C, Lin F, Kratz T, Michener W, Shapiro S, Williams T (2005) Wireless sensor networks for ecology. BioScience 55:561–572CrossRef
74.
Quattrochi DA, Goodchild MF (1997) Scale in remote sensing and GIS. Lewis Publishers, New York
75.
Ramapriyan HK (2002) Satellite imagery in earth science applications. In: Castelli V, Bergman LD (eds) Image databases: search and retrieval of digital imagery. Wiley, New York
76.
Schenk T, Csatho B (2002) Fusion of LiDAR data and aerial imagery for a more complete surface description. Archives of photogrammetry
77.
Schiewe J (1998) Experiences from the MOMS-02-project for future developments. Int Arch Photogramm Remote Sens 32:533–539
78.
Ussyshkin RV, Smith RB (2007) A new approach for assessing LiDAR data accuracy for corridor mapping applications. In: Proceedings of the 5th international symposium on mobile mapping technology, Padua, Italy
79.
Xue Y, Li Y, Guang J, Zhang X, Guo J (2008) Small satellite remote sensing applications - history, current and future. Int J Remote Sens 29:4339–4372CrossRef
80.
Zhang Y, Xie P, Li H (2007) An online colour 2D and 3D image system for disaster management. In: Li J, Zlatanova S, Fabbri A (eds) Geomatics solutions for disaster management. Lecture notes in geoinformation and cartography. Springer, Berlin, pp 1–15
Metadata
Title
Light Detection And Ranging (LiDAR)
Authors
Joseph Awange
John Kiema
Copyright Year
2019
Book
Environmental Geoinformatics

Print ISBN: 978-3-030-03016-2

Electronic ISBN: 978-3-030-03017-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-03017-9_21