Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2017 | OriginalPaper | Buchkapitel

1. Innovations in Remote Sensing of Forests

verfasst von : Margarita N. Favorskaya, Lakhmi C. Jain

Erschienen in: Handbook on Advances in Remote Sensing and Geographic Information Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Nowadays, a remote sensing of forests is represented by three conventional types of shooting, such as the spaceborne, airborne, and terrestrial. Recently additional studies, such as the Unmanned Airborne Vehicles (UAVs) laser scanning including nano-UAV, micro-UAV, and mini-UAV (as a part of the airborne laser scanning) and the mobile laser scanning and hand-held mobile laser scanning (as a part of the terrestrial laser scanning), became available. Each type has own purposes and pros and cons. A fusion of such scaled data in a single software tool is the innovative task with a promising future. However, a process of fusion is not trivial because of different scale representation of data. Also, a wide coverage of areas leads to difficulties in the big data processing. The material of the book is mainly based on the airborne and terrestrial algorithms.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Nächstes Kapitel Overview of LiDAR Technologies and Equipment for Land Cover Scanning
Literatur
1.
2.
Hyyppä J, Hyyppä H, Litkey P, Yu X, Haggrén H, Rönnholm P, Pyysalo U, Pitkänen J, Maltamo M (2003) Algorithms and methods of airborne laser scanning for forest measurements. Int Arch Photogramm Remote Sens Spat Inf Sci XXXVI (Part 8/W2):82–89
3.
Mallet C, Bretar F (2009) Full-waveform topographic LiDAR: state-of-the-art. ISPRS J Photogramm Remote Sens 64(1):1–16CrossRef
4.
De Jong SM, Pebesma EJ, Lacaze B (2003) Above-ground biomass assessment of Mediterranean forests using airborne imaging spectrometry: the DAIS Peyne experiment. Int J Remote Sens 24(7):1505–1520CrossRef
5.
Ustin SL, Roberts DA, Gamon JA, Asner GP, Green RO (2004) Using imaging spectroscopy to study ecosystem processes and properties. Bioscience 54(6):523–534CrossRef
6.
Kokaly RF, Asner GP, Ollinger SV, Martin ME, Wessman CA (2009) Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sens Environ 113:S78–S91CrossRef
7.
Morsdorf F, Nichol C, Malthus T, Woodhouse IH (2009) Assessing forest structural and physiological information content of multi-spectral LiDAR waveforms by radiative transfer modelling. Remote Sens Environ 113(10):2152–2163CrossRef
8.
Antonarakis AS, Munger JW, Moorcroft PR (2014) Imaging spectroscopy- and LiDAR-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics. Geophys Res Lett 41(7):2535–2542CrossRef
9.
10.
Hitz B, Ewin JJ, Hecht J (1998) Introduction to laser technology, 3rd edn. IEEE Press, New York
11.
Silfvast WT (2004) Laser fundamentals, 2nd edn. Cambridge University Press, CambridgeCrossRef
12.
Rottensteiner F, Sohn G, Gerke M, Wegner JD, Breitkopf U, Jung J (2014) Results of the ISPRS benchmark on urban object detection and 3D building reconstruction. ISPRS J Photogramm Remote Sens 93:256–271CrossRef
13.
Wallace L, Lucieer A, Watson C, Turner D (2012) Development of a UAV–LiDAR system with application to forest inventory. Remote Sens 4(6):1519–1543CrossRef
14.
15.
Shen D, Wong DW, Camelli F, LiuY (2013) An ArcScene plug-in for volumetric data conversion, modeling and spatial analysis. Comput Geosci 61:104–115
16.
17.
18.
19.
20.
21.
22.
Junttila V, Finley AO, Bradford JB, Kauranne T (2013) Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory. For Ecol Manage 292:75–85CrossRef
23.
Yu X, Hyyppä J, Vastaranta M, Holopainen M (2011) Predicting individual tree attributes from airborne laser point clouds based on random forest technique. ISPRS J Photogramm Remote Sens 66(1):28–37CrossRef
24.
Favorskaya M, Tkacheva A, Danilin IM, Medvedev EM (2015) Fusion of airborne LiDAR and digital photography data for tree crowns segmentation and measurement. In: Damiani E, Howlett RJ, Jain LC, Gallo L, De Pietro G (eds) Intelligent interactive multimedia systems and services. Springer International Publishing, Switzerland
25.
Lindenmayer A (1968) Mathematical models for cellular interactions in development, Parts I and II. J Theor Biol 18:280–315CrossRef
26.
Lintermann B, Deussen O (1999) Interactive modelling of plants. IEEE Comput Graphics Appl 19(1):56–65CrossRef
27.
Zamuda A, Brest J (2014) Vectorized procedural models for animated trees reconstruction using differential evolution. Inf Sci 278:1–21MathSciNetCrossRef
28.
Favorskaya M, Zotin A, Chunina A (2011) Procedural modeling of broad-leaved trees under weather conditions in 3D virtual reality. In: Tsihrintzis GA, Virvou M, Jain LC, Howlett RJ (eds) Intelligent interactive multimedia systems and services. Springer, Berlin
29.
Runions A, Fuhrer M, Lane B, Federl P, Rolland-Lagan A-G, Prusinkiewicz P (2005) Modeling and visualization of leaf venation patterns. J ACM Trans Graphics 24(3):702–711CrossRef
30.
Estrada R, Tomasi C, Schmidler SC, Farsiu S (2014) Tree topology estimation. IEEE Trans Pattern Anal Mach Intell 37(8):1688–1701CrossRef
31.
Sachs T, Novoplansky A (1995) Tree form: architectural models do not suffice. Israel J Plant Sci 43:203–212CrossRef
32.
Ijiri T, Mech R, Igarashi T, Miller G (2008) An example-based procedural system for element arrangement. Comput Graph Forum 27(4):429–436CrossRef
33.
Runions A, Lane B, Prusinkiewicz P (2007) Modeling trees with a space colonization algorithm. Eurographics workshop on natural phenomena, pp 63–70
34.
Germer T, Strothotte T (2008) Orthant neighborhood graphs: a decentralized approach for proximity queries in dynamic point sets. In: Braz J, Ranchordas A, Araújo HJ, Pereira JM (eds) Computer vision and computer graphics. Theory and applications, International conference VISIGRAPP 2007. Springer, Berlin
35.
Pałubicki W, Horel K, Longay S, Runions A, Lane B, Mech R, Prusinkiewicz P (2009) Self-organizing tree models for image synthesis. ACM Trans Graph 28(3):58.1–58.10
36.
Stava O, Pirk S, Kratt J, Chen B, Mech R, Deussen O, Benes B (2014) Inverse procedural modeling of trees. Comput Graph Forum 33(6):118–131CrossRef
37.
Kraus K, Pfeifer N (2001) Advanced DTM generation from LiDAR data. Int Arch Photogramm Remote Sens XXXIV(Part3/W4):23–30
38.
Sithole G, Vosselman G (2004) Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds. ISPRS J Photogramm Remote Sens 59(1–2):85–101CrossRef
39.
Sithole G (2001) Filtering of laser altimetry data using a slope adaptive filter. Int Arch Photogramm Remote Sens XXXIV(Part 3/W4):203–210
40.
Arefi H, Hahn M (2005) A morphological reconstruction algorithm for separating off-terrain points from terrain points in laser scanning data. Int Arch Photogramm Remote Sens Spat Inf Sci XXXVI(Part3/W19):120–125
41.
Zhang J, Lin X (2013) Filtering airborne LiDAR data by embedding smoothness-constrained segmentation in progressive TIN densification. ISPRS J Photogramm Remote Sens 81:44–59CrossRef
42.
Lloyd CD, Atkinson PM (2006) Deriving ground surface digital elevation models from LIDAR data with geostatistics. Int J Geogr Inf Sci 20:535–563CrossRef
43.
Yang CS, Kao SP, Lee FB, Hung PS (2004) Twelve different interpolation methods: a case study of Surfer 8.0. XXth ISPRS Congress 35(B2):772–777
44.
45.
Sillion F, Drettakis G, Bodelet B (1997) Efficient impostor manipulation for real-time visualization of urban scenery. Comput Graph Forum 16(3):207–218CrossRef
46.
Eck M, DeRose T, Duchamp T, Hoppe H, Lounsbery M, Werner Stuetzle W (1995) Multiresolution analysis of arbitrary meshes. In: 22nd annual conference on computer graphics and interactive techniques SIGGRAPH 1995, pp 173–182
47.
Xia J, El-Sana J, Varshney A (1997) Adaptive real-time level-of-detail-based rendering for polygonal models. IEEE Trans Vis Comput Graph 3(2):171–183CrossRef
48.
Wang H (1961) Proving theorems by pattern recognition II. Bell Syst Tech J 40:1–41CrossRef
49.
Jeschke S, Wimmer M (2002) Textured depth meshes for real-time rendering of arbitrary scenes. In: 13th eurographics workshop on rendering EGRW 2002, pp 181–190
50.
Hilbert K, Brunnett G (2004) A hybrid LOD based rendering approach for dynamic scenes. In: IEEE International Conference on Computer Graphics CGIV 2004, pp 274–277
51.
Reeves WT, Blau R (1985) Approximate and probabilistic algorithms for shading and rendering structured particle systems. Comput Graph 19:313–322CrossRef
52.
Decoret X, Durand F, Sillion FX, Dorsey J (2003) Billboard clouds for extreme model simplification. ACM Trans Graphics 22(3):689–696CrossRef
53.
Decaudin P, Neyret F (2009) Volumetric billboards. Comput Graph Forum 28:2079–2089
54.
Rocchini C, Cignoni P, Montani C, Scopigno R (1999) Multiple textures stitching and blending on 3D objects. In: 10th eurographics workshop on rendering EGWR 1999, pp 119–130
55.
Tanner CC, Migdal CJ, Jones MT (1998) The Clipmap: a virtual mipmap. In: 25th annual conference on computer graphics and interactive techniques SIGGRAPH 1998, pp 151–158
56.
Behrendt S, Colditz C, Franzke O, Kopf J, Deussen O (2005) Realistic real-time rendering of landscapes using billboard clouds. Eurographics 24(3):507–516
57.
Stamminger M, Drettakis G (2002) Perspective shadow maps. In: 29th annual conference on computer graphics and interaction techniques, SIGGRAPH 2002, pp 557–562
58.
Wimmer M, Scherzer D, Purgathofer W (2004) Light space perspective shadow maps. In: Keller A, Jensen HW (eds) Rendering techniques 2004, eurographics symposium on rendering 2004, pp 143–151
59.
Lloyd DB, Govindaraju NK, Quammen C, Molnar SE, Manocha D (2008) Logarithmic perspective shadow maps. ACM Trans Graph 27(4):1–39CrossRef
60.
Zhang F, Sun H, Xu L, Lee K (2008) Hardware-accelerated parallel-split shadow maps. Int J Image Graph 8:223–241CrossRef
61.
Horry Y, Anjyo KI, Arai K (1997) Tour into the picture: using a spidery mesh interface to make animation from a single image. In: 24th annual conference on computer graphics and interactive techniques SIGGRAPH 1997, pp 225–232
62.
Armstrong WW, Green MW (1985) The dynamics of articulated rigid bodies for purposes of animation. Vis Comput 1(4):231–240CrossRef
63.
Ota S, Tamura M, Fujimoto T, Muraoka K, Chiba N (2004) A hybrid method for real-time animation of trees swaying in wind fields. Vis Comput 20(10):613–623CrossRef
64.
Perlin K (1985) An image synthesizer. Comput Graph 19(3):287–296CrossRef
65.
Garg K, Nayar SK (2006) Photorealistic rendering of rain streaks. ACM Trans Graphics 25(3):996–1002CrossRef
66.
Cook RL, Porter T, Carpenter L (1984) Distributed ray tracing. In: 11th annual conference on computer graphics and interactive techniques ACM SIGGRAPH 1984, pp 137–145
67.
Crow FC (1977) Shadow algorithms for computer graphics. Comput Graph 11(2):242–248CrossRef
68.
Williams L (1978) Casting curved shadows on curved surfaces. In: 5th annual conference on computer graphics and interactive techniques ACM SIGGRAPH 1978, pp 270–274
69.
Boulanger K (2005) Real-time realistic rendering of nature scenes with dynamic lighting. Ph.D. dissertation, INRIA
70.
71.
Martın-Fernandez S, Garcıa-Abril A (2005) Optimisation of spatial allocation of forestry activities within a forest stand. Comput Electron Agric 49(1):159–174CrossRef
72.
Deussen O, Hanrahan P, Lintermann B, Mech R, Pharr M, Prusinkiewicz P (1998) Realistic modeling and rendering of plant ecosystems. In: 25th annual conference on computer graphics and interactive techniques SIGGRAPH 1998, pp 275–286
73.
Pirk S, Stava O, Kratt J, Said MAM, Neubert B, Mech R, Benes B, Deussen O (2012) Plastic trees: interactive self-adapting botanical tree models. ACM Trans Graphics 31(4):Article No. 50
74.
Zamuda A, Brest J (2013) Environmental framework to visualize emergent artificial forest ecosystems. Inf Sci 220:522–540CrossRef
75.
Polewski P, Yao W, Heurich M, Krzystek P, Stilla U (2015) Detection of fallen trees in ALS point clouds using a normalized cut approach trained by simulation. ISPRS J Photogramm Remote Sens 105:252–271CrossRef
Metadaten
Titel
Innovations in Remote Sensing of Forests
verfasst von
Margarita N. Favorskaya
Lakhmi C. Jain
Copyright-Jahr
2017
Buch
Handbook on Advances in Remote Sensing and Geographic Information Systems

Print ISBN: 978-3-319-52306-4

Electronic ISBN: 978-3-319-52308-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52308-8_1

Premium Partner

    Bildnachweise