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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


The Archives of Photogrammetry, Cartography and Remote Sensing is a journal which, in the era of technological development of photogrammetry and remote sensing and changes related to cartography in the field of common digitization of sources and processing of spatial information in GIS environment, has been one of the most popular places for publishing articles in this field in Poland for years. Thirty volumes published throughout 25 years have provided nearly 1000 scientific articles and monographic studies summarizing the scientific work of several hundred authors from dozens of scientific institutions and production companies in Poland. This article is an attempt to summarize the achievements published in the journal in the field of bibliometric evaluation and statistical data of the publications from the time of the existence of this inter-association journal. The text quotes the history of the journal, indicates statistics on the number of articles, their citation with the most popular items, authors, reviewers. This evaluation was compared with other national and foreign journals.

References [1] Badgley, G.; Field, C.B.; Berry, J.A. Canopy near-infrared reflectance and terrestrial photosynthesis. Sci. Adv. 2017, 3, e1602244 [2] C. B. Field, J. T. Randerson, C. M. Malmstrom, Global net primary production: Combiningecology and remote sensing.Remote Sens. Environ.51,74–88 (1995) [3] Ciubotaru, A., Exploatareapădurilor , ed. Lux Libris, 1998 [4] C. S. Potter, J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney,S. A. Klooster, Terrestrial ecosystem production: A process model based on global satellite and surface data

, S. K. (2013), Water Supply Engineering, Khanna Publication, New Delhi. Guth, P. L., (2010), Geomorphometric Comparison of ASTER GDEM and SRTM, A special joint symposium of ISPRS Technical Commission IV & AutoCarto in conjunction with ASPRS/CaGIS, Orlando, Florida. Jiang, H., Feng, M., Zhu, Y., Lu., N., Huang, J. & Xiao, T., (2014). An Automated Method for Extracting Rivers and Lakes from Landsat Imagery, Remote Sensing, 6, 5067-5089. John Magrath, (2006), Towards Sustainable Water-Supply Solutions in Rural Sierra Leone, Oxfam GB Research Report, pp 01-27. Khan, M

LITERATURE Adamczyk, J., & Będkowski, K. (2007). Odwzorowanie wybranych obiektów krajobrazu w danych lotniczego skanowania laserowego. Archiwum Fotogrametrii, Kartografii i Teledetekcji, 17a, 1-9. Bakuła, K. (2011). Reduction of DTM obtained from lidar data for flood modeling. Archives of Photogrammetry, Cartography and Remote Sensing, 22, 2011, 51-61. Bakuła, K. (2012). Porównanie wpływu wybranych metod redukcji NMT w tworzeniu map zagrożenia powodziowego. Archiwum Fotogrametrii, Kartografii i Teledetekcji, 23, 19–28. Bakuła, K. (2014). Efektywne wykorzystanie

Research and Development Centre, Bandung. [12] Faridah, S. A. N., Krisbiantoro, A. 2014. Land Surface Temperature Distribution Analysis in Potential Area of Geothermal Using Remote Sensing Techniques on Mount Lamongan, Tiris. Berkala Fisika, 17(2), 67–72. [13] Darge, Y. M., Hailu, B. T., Muluneh, A. A., Kidane, T. 2019. Detection of Geothermal Anomalies Using Landsat 8 TIRS Data in Tulu Moye Geothermal Prospect, Main Ethiopian Rift. International Journal Applied Earth Observation and Geoinformation, 74, 16–26. [14] Wright, J., Lillesand, T. M., Kiefer, R. W. 1980. Remote

Introduction The development of new technologies has made it possible to carry out both field and chamber scientific research in a way that until recently seemed impossible, as well as provide measurement methods to assess the geographical environment from an entirely different perspective. This revolution in remote sensing research is especially enabled by the relatively new ability to perform measurements using unmanned aerial vehicles. Unmanned Aerial Vehicles (UAVs), commonly known as drones and according to the European Commission recommendations Remotely

References Amt der Steiermärkischen Landesregierung (2008). Biotoptypen - Katalog der Steiermark. Amt der Steiermärkischen Landesregierung Fachabteilung 13C Naturschutz. Angold, P.G., Gurnell, A.M. & Edwards P.J. (1996). Locational errors in maps from environmental surveys and their implications for information extraction. J.Environ. Manag., 47, 341−354. Bock, M. (2003). Remote sensing and GIS-based techniques for the classification and monitoring of biotopes. J. Nat.Conserv., 11, 145-155. Bock, M., Xogis, P. Mitchley, J

References 1. Yin, S. W. A Linear Feature-Based Image Rectification Method for HD Remote Sensing Images. - Geomatics Technology and Equipment, Vol. 9, 2007, No 2, pp. 3-5. 2. Smith, S. M., J. M. Brady. SUSAN-A New Approach to Low Level Image Processing. - International Journal of Computer Vision, Vol. 23, 1997, No 1, pp. 45-78. 3. Harris, C. J., M. Stephen. A Combined Corner and Edge Detector. - In: Proc. of 4th Alvey Vision Conference, Manchester, United Kingdom, 1988. 4. Bay, H., A. Ess, T. Tuytelaars et al. Speeded-Up Robust Features (SURF). - Computer Vision

References BENDIG J., BOLTEN A., BARETH G., 2012, Introducing a low-cost mini-UAV For thermal- and multispectralimaging”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v.XXXIX-B1. CHUVIECO E., 1989, Application of remote sensing and geographic information systems to forest fire hazard mapping, Remote Sensing of Environment, v.29(2), pp.147-159. DĄBROWSKI R., ORYCH A., WALCZYKOWSKI P., 2010 Ocena możliwości wykorzystania wysokorozdzielczych zobrazowań satelitarnych w rozpoznaniu obrazowym”, Archiwum Fotogrametrii