**Author details**

Gáspár Albert

Address all correspondence to: albert@ludens.elte.hu

Department of Cartography and Geoinformatics, Eötvös Loránd University, Budapest, Hungary

## **References**

time before these surveillance robots will autonomously do the caving instead of spelunkers. A rather probable option is the combination of semi-autonomous systems with the recent technologies. Using TLS for broad passages and drone swarms equipped with active sensors for high and tight passages will require human assistance, in positioning beacons for the

This chapter gives an overview of the aims, benefits, and the possible issues of creating a GIS from cave survey data focusing on the data types on both the input (surveying) and output (modeling) side. The most widespread data types are listed and explained along with the functionalities of the system components. The here presented approach highlights that in cave investigations one does not use simply one program to process the data, but many of them (worksheet editors, map editors, and modeling tools). Although, in strict sense, not all of the used component programs have GIS capabilities, using them in a common project connects them into an information system which has to fulfill three functionalities: processing, storing, and representation. This chapter explains how these functionalities are handled in the case of

It is very crucial, and the chapter emphasize it in several ways that the archive data is precious despite of its poorer quality in spatial resolution compared to the data of recent surveys. The huge amount of archive data is lost if it is not processed and incorporated into a common information framework of the GIS. One should not forget the environmental impact of a scientific study when deciding about a new survey instead of data-mining the archives. In some cases, the type of cave management may also has changed since the time of an archive survey (e.g., the cave has been opened to the public), and some parts of the cave cannot be surveyed any more in its original, natural form. Without building such an information system from the archives, modeling and the related studies must rely only on

The chapter can help cave investigations in two ways: for those who are already familiar with surveying it draws attention to the importance of procedures like data management, quality control, or automation; and for those who work with the data as beginner users, the paper can

Department of Cartography and Geoinformatics, Eötvös Loránd University, Budapest, Hungary

swarm. Still these systems are in not even in planning phase at the moment.

**8. Summary**

44 Cave Investigation

new and archive data processing.

the contemporary data.

**Author details**

Gáspár Albert

shed lights to the various tasks related to cave surveys.

Address all correspondence to: albert@ludens.elte.hu


[17] Heeb B. Paperless Cave Surveying. [Internet]. 2016. Available from: http://paperless.

[18] Gede M, Petters C, Nagy G, Nagy A, Mészáros J, Kovács B, et al. Laser Scanning Survey in the Pál-völgy Cave, Budapest. In: Buchroithner MF, editor. Proceedings of the 26th International Cartographic Conference. Dresden: International Cartographic Association;

[19] Lerma JL, Navarro S, Cabrelles M, Villaverde V. Terrestrial laser scanning and close range photogrammetry for 3D archaeological documentation: The Upper Palaeolithic Cave of Parpallo as a case study. Journal of Archaeological Science. 2010;**37**(3):499-507.

[20] Gede M, Ungvári Z, Kiss K, Nagy G. Open-source web-based viewer application for TLS surveys in caves. In: Gartner G, Haosheng H, editors. Proceedings of the 1st ICA European Symposium on Cartography; Vienna: International Cartographic Association;

[21] ASPRS. Las Specification. Version 14 – R13. Maryland, USA: The American Society for

[22] Lichti DD, Gordon SJ. Error propagation in directly georeferenced terrestrial laser scanner point clouds for cultural heritage recording. Proceedings of FIG Working Week; May

[23] Bosse M, Zlot R, Flick P. Zebedee: Design of a spring mounted 3D range sensor with application to mobile mapping. IEEE Transactions on Robotics. 2012;**28**(5):1104-1119.

[24] Idrees MO, Pradhan B. A decade of modern cave surveying with terrestrial laser scanning: A review of sensors, method and application development. International Journal

[25] Filipponi M, Jeannin PY, Tacher L. Evidence of inception horizons in karst conduit networks. Geomorphology. 2009;**106**(1-2):86-99. DOI: 10.1016/j.geomorph.2008.09.010

[27] Klimchouk AB, Ford DC. Types of karst and evolution of hydrogeologic settings. In: Klimchouk AB, Ford D, Palmer A, Dreybrodt W, editors. Speleogenesis: Evolution of Karst

[28] Klimchouk AB. Hypogene Speleogenesis: Hydrogeological and Morphogenetic Perspective.

[29] Leél-Őssy Sz. Caves in the Buda Mountains. Landscapes and Landforms of Hungary.

[30] Hale E. Protecting Oregon Caves. GIS Best Practices: GIS and Science. USA: ESRI; 2008.

of Speleology. 2016;**45**(1):71. DOI: 10.5038/1827-806X.45.1.1923

Aquifers. Huntsville: National Speleological Society; 2000. pp. 45-53

2nd ed. Carlsbad: National Cave and Karst Research Institute; 2011. 106 p

[26] Palmer AN. Cave Geology. Dayton: Cave Books; 2007. 454 p

bheeb.ch/ [Accessed: 02 February 2017]

DOI: 10.1016/j.jas.2009.10.011

Photogrammetry & Remote Sensing; 2013. p. 28

2004; Athens, Greece. 2004. pp. 22-27

DOI: 10.1109/TRO.2012.2200990

Springer; 2015. pp. 121-128

pp. 32-37

2013. p. 905

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2015. pp. 321-328


**Section 2**
