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References [1]. Liu, Yansui. Guo, Yanjun. Li, Yurui. Li, Yuheng. GIS-based Effect Assessment of Soil Erosion Before and After Gully Land Consolidation: A Case Study of Wangjiagou Project Region, Loess Plateau, Chinese Geographical Science 2015 Vol. 25, No. 2, pp. 137–146, (2015). [2]. Lupu, C., Moraru, R., Prevention of fire and explosion– course material, Master – Ocuppational Health and Safety, (2014). [3]. Lupu-Dima, L., Leba, M., Ionica, A., Edelhauser, E., Intelligent Dispatching, A Solution for Increasing Efficiency in Mining, The 6th International

1 Einleitung Zur Darstellung der räumlich-planerischen Situation in den Flächenländem führen alle Raumordnungsbehörden ein Kataster, in dem laufend die raumbeanspruchenden und raumbeeinflussenden Planungen und Maßnahmen aus den Fachplanungen synoptisch zusammengeführt werden [vgl. Steingrube, W. (1998), S. 73], In den vergangenen Jahren wurde in fast allen Bundesländern damit begonnen, die Raumordnungskataster auf die digitale Führung mit einem Geo-Informationssystem (GIS) umzustellen. Geo-Informationssysteme (GIS) dienen dazu, raumbezogene Daten zu erheben, zu

aufgrund der durch den demographischen Wandel zu erwartenden Standortveränderungen von Einrichtungen der (medizinischen) Daseinsvorsorge und Siedlungsmustern vor. Wie von Schweikart und Kistemann (2004 ) beschrieben, nehmen bei den Erreichbarkeitsstudien GIS-Analysen und kartographische Darstellungen eine inzwischen wichtige Rolle ein (vgl. Elliott/Wakefield/Best et al. 2001 ). In neueren Studien wird vor allem die Verfügbarkeit von Versorgungsinstitutionen durch derartige Methoden quantifiziert (vgl. Traub 2004 ; Neumeier 2013 ; Neumeier 2014 ; Seip

References 1. Final report on the ESA PECS Project implementation, ESTEC/Contract No. 4000105693/12/NL/KML, Development, testing, demonstration and dissemination of innovative Web-based Geographical Information System for threat monitoring, prediction, and risk analysis for the municipal area - Safe City GIS, 2014 2. High Performance Computing in Remote Sensing, Plaza, A. J.; Chang, Ch. Publisher: Chapman & Hall/CRC Computer & Information Science Series, ISBN: 978-1584886624 3. Lee T. M., Tag P. M.: Improved detection of hotspots using the AVHRR 3.7 μm channel

-494. [8] P. Dunlavey, “GRASS GIS: A Useful Tool for the Mountain Cartographer”, International Cartographic Association (ICA) 2002 Mountain Cartography Workshop , Timberline Lodge, Mt. Hood, Oregon, 2002. [Online]. Available: http://www.mountaincartography.org/mt_hood/pdfs/dunlavey1.pdf [Accessed: Sept. 16, 2011]. [9] W. Bergenheim, L. Sarjakoski and T. Sarjakoski, “A Web Processing Service for GRASS GIS to Provide on-line Generalisation”, 12th AGILE International Conference on Geographic Information Science 2009 , Leibniz Universitat Hannover, Germany. [Online

References Alesheikh A, Helali H, Behroz H (2002) Web GIS: Technologies and its applications. In: Symposium on Geospatial Theory, Processing and Applications, Ottawa. Čaplar A (2019) Interaktivna planinarska karta Hrvatske. Hrvatski planinar 1: 18−20. Chang G, Caneday L (2011) Web-based GIS in tourism information search: Perceptions, tasks, and trip attributes. Tourism Management 32(6): 1435−1437. Croatian Mountaineering Society (HPS). Available at: < https://www.hps.hr > Geodetic Mountaineering Portal. Available at: < https

LITERATURE Adiat, K.A.N., Nawawi, M.N.M., Abdullah, K. (2012). Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool - a case of predicting potential zones of sustainable groundwater resources. J Hydrol 440-441, 75-89. Agarwal, E., Agarwal, R., Garg, R.D., Garg, P.K. (2013a). Delineation of groundwater potential zone: an AHP/ANP approach. J Earth Syst Sci 122(3), 887-898. Agarwal, R., Garg, P.K. (2016) Remote sensing and GIS based groundwater potential & recharge zones mapping using multi - criteria decision

R eferences [1] X. Han, Z. Liu, L. Zhang, et al “Simulation for Propagation Characteristics of Optical Signals Excited by Partial Discharge GIS”, Journal of Xian Jiaotong University , vol. 52, no. 6, pp. 128-134, 2018. [2] C. Zhuang, R. Zeng, B. Hang, et al “A WENO scheme for simulating streamer discharge with photoionizations”, IEEE Transactions on Magnetics , vol. 50, no. 2, pp. 7007904, 2014. [3] C. Zhuang and R. Zeng, “A positivity-preserving scheme for the simulation of streamer discharges non-attaching and attaching gases”, Communications

Terrestrial Laser Scanning data and images. In RevCAD – Journal of Geodesy and Cadastre , No. 9, pg. 309-318, Aeternitas Publishing House, Alba Iulia, Romania. Bassole, A., Brunner, J., Tunstall, D., 2001. GIS: Supporting Environmental Planning and Management in West Africa. World Resources Institute, London, United Kingdom. Birjaru, C., 2011. Cercetări privind utilizarea tehnologiei LiDAR în lucrările de silvicultură (Study regarding the use of LiDAR technology in forestry), Summary of PhD Theses, Brasov, Romania. Danson, F.M., Hetherington, D., Morsdorf, F., Koetz, B

”. Berchtesgaden, Germany, pp. 55−64. Eastmead S., 2017, Use of QGIS Geographical Information System in Basic Field Archaeology and LiDAR Processing (Ed. 1, rev. 4, from 05.03.2018). E-book: https://eastmead.com/QGIS-LIDAR.htm Graser A., Meams B., Mandel A., Olaya V., Bruy A., 2017, QGIS: Becoming a GIS Power User . Birmingham: Packt Publishing. Hobbs K., 1995, The rendering of relief images from digital contour data. “The Cartographic Journal” Vol. 32, no. 2, pp. 111−116. Hobbs K., 1999, An investigation of RGB multi-band shading for relief visualisation. “International