Modern Methods and Techniques in Landscape Shaping with Various Functions on the Example of Southern Poland
Source abstract
Abstract
The aim of this publication is to present the detailed results of research on the formation of landscapes with different functions. The research was conducted in areas typical for southern Poland in Kasinka Mala and Kamionka Wielka communes using the WIT statistical method and photogrammetric techniques. Among the landscape evaluation methods, the publication uses the WIT method of site significance indices, which employs a wide representation of features describing the spatial structure of villages. Using these indicators, the “value” and changes that have occurred in the landscape of each designated area were assessed. Three indicators were determined: WIT 1—for agricultural activities, WIT 2—for non-agricultural activities, and WIT 3—for recreational activities, for each of the villages of the Kamionka Wielka commune, comparing them in a tabular and graphical form. The indicators were used to determine the suitability of the land for agricultural activities, its potential for economic activity, and the development of recreational and tourist activities in the area. Most of the factors determining the character of a landscape can be properly captured using photogrammetric and remote-sensing materials. Thanks to the technological advances provided by photogrammetric methods, visualizations of landscapes with different functions were also used in this study. For landscape analysis, photogrammetric materials in the form of aerial photographs, digital orthophotomaps taken in different time periods (1963–1977–1997–2010–2013), and data from airborne laser scanning were used, which allowed visualization of the studied areas in the form of a DSM and 3D models of Kasinka Mala and Kamionka Wielka.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Remote Sensing and LiDAR Applications · Archaeological Research and Protection · 3D Surveying and Cultural Heritage
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Agricultural Land Surveying, Cadaster and Photogrammetry, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, 31-120 Krakow, Poland
References (56)
Show source-provided references
1. Why landscapes of the past are important for the future10.1016/j.landurbplan.2003.10.002 ↗
2. Bański, J. (2006). Geographies of Polish Rural Areas, Polish Economic Publishing House.
3. Pietrzak, M. (1998). Landscape Syntheses—Assumptions, Problems, Applications, Bogucki Scientific Publishing.
4. Wojciechowski, K.H. (1986). Problems of Perception and Aesthetic Evaluation of the Landscape, Publishing House UMCS.
5. Wojciechowski, K.H. (1996). Landscapes—Elements of Cultural Heritage and Their Evolution, Annales UMCS.
6. Mazur, F. (1998). Natural Environment—Threats, Protection and Shaping, Publishing House of the University of Szczecin.
7. Bogdanowski, J. (2000). Reading the Landscape. National Heritage Landscapes, Agencja Reklamowo-Wydawnicza A. Grzegorczyk. Number 1.
8. Pau—European Landscapes10.1016/0169-2046(94)01036-8 ↗
9. Agricultural landscapes in Europe and their transformation10.1016/0169-2046(90)90016-U ↗
10. Trends in European cultural landscape development: Perspectives for a sustainable future10.1016/S0169-2046(99)00043-2 ↗
11. Cymerman, R. (1992). Rural Landscape, Publishing House ART.
12. Indicator method for the evaluation of landscape structures
13. Directions of land use against the background of natural constraints and the needs for works to improve agricultural space in mountain villages of the Krakow voivodeship
14. Environmental Evaluation of the Wielowieś Commune Part of I. State of Natural Values
15. (2021, December 01). Journal of Laws Dz., U. 2001 No. 62 item 627 Act of April 27, 2001. Environmental Protection Law, Available online: https://isap.sejm.gov.pl.
16. Majchrowska, A. (2013). Experience of other countries in identifying landscape types. Identification and Valuation of Landscapes—Implementation of the European Landscape Convention, General Directorate for Environmental Protection. Conference papers.
17. Jaszczuk, S., and Maj, K. (2004). Dictionary Geography, Greg Publishing House.
18. Majchrowska, A. (2008). Landscape systematization in selected European countries. The Problems of Landscape Ecology, Polska Asocjacja Ekologii Krajobrazu.
19. Myczkowski, Z. (2013). Criteria for evaluation of Polish landscapes—A systematic proposal. Identification and Valuation of Landscapes—Implementation of the European Landscape Convention, General Directorate for Environmental Protection. Conference papers.
20. Kistowski, M., and Korwel-Lejkowska, B. (2007). Stages of environmental assessment and their importance in the planning process. Valorization of Natural Environment in Spatial Planning, University of Gdańsk Development Foundation.
21. GIS technology as a complex tool in natural environment assessment studies on the example of Bielsko-Biała
22. Litwin, U. (1997). Determination of site importance indicators of the (WIT) Kotliny Mszańskiej. Bulletin of the Agricultural Advisory Service AR Kraków, Academy of Agriculture Krakow. Number 314.
23. Litwin, U., and Pijanowski, J.M. (2008). Active protection and shaping of cultural landscapes vs. valorization of their resources. Scientific Quarterly No. 1 of the Higher School of Entrepreneurship in Nowy Sącz, Poland.
24. Litwin, U. (1997). Synergic arrangement of landscape structures on the example of the Mszańska Basin. Scientific Papers of the AR Krakow, Dissertations and Habilitations 225, Academy of Agriculture Krakow.
25. Jacobsen, K., and Passini, R. (2003, January 23–25). Accuracy of Digital Orthophotos from High Resolution Space Imagery. Proceedings of the Workshop High Resolution Mapping from Space, Hanover, Germany.
26. Forkuo, E.K. (2021, December 01). Digital terrain modeling in a GIS environment. In Remote Sensing and Spatial Information Sciences; ISPRS Archives part B2; Beijing 2008, China, Volume XXXVII, pp.1023-1030. Available online: https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.1603.
27. Longley, P.A., Goodchild, M.F., Maguire, D.J., and Rhind, D.W. (2006). GIS. Teoria i Praktyka, Wydawnictwo Naukowe PWN.
28. Manuel, D.F. (2001). Digital Elevation Model Technologies and Applications. The DEM Users Manual, ASPRS.
29. Chrisman, N.R. (2003). Exploring Geographical Information Systems, Wiley.
30. Ballas, D., Kingston, R., and Stillwell, J. (2004). Using a spatial microsimulation decision support system of policy scenario analysis. Recent Advances in Design and Decision Support Systems in Atchitecture and Urban Planning, Kluwer Academic Publishers.10.1007/1-4020-2409-6_12 ↗
31. Exploratory spatiotemporal visualization: An analytical review10.1016/S1045-926X(03)00046-6 ↗
32. Visual data mining modeling techniques for the visualization of mining outcomes10.1016/j.jvlc.2003.06.002 ↗
33. The icon imagemap technique for multivariate geospatial data visualization. Approach and software system10.1559/152304004773112758 ↗
34. Andersen, H.-E. (2002). The Use of Airborne Laser Scanner Data (LIDAR) for Forest Measurement Applications, WFCA.
35. Shan, J., and Toth, C.K. (2009). Topographic Laser Ranging and Scanning: Principles and Processing, CRC Taylor and Francis.
36. Practical large-scale forest stand inventory using a smallfootprint airborne scanning laser10.1080/02827580310019257 ↗
37. Airborne laser scanning—Present status and future expectations10.1016/S0924-2716(99)00009-X ↗
38. The integration of terrestrial laser scanning and numerical modeling in landslide investigations10.1144/1470-9236/08-069 ↗
39. Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models10.3390/rs5126427 ↗
40. Vatan, M., Oguz, M., and Selbesoglu Bayram, B. (2021, December 01). The use of 3D laser scanning technology in preservation of historical structures. Conservation News No 26/2009, pp. 659-669. Available online: https://www.researchgate.net/publication/235411453_The_Use_of_3D_Laser_Scanning_Technology_in_Preservation_of_Historical_Structures.
41. Hyyppä, J., Pyssalo, U., Hyyppä, H., and Samberg, A. (2002). Elevation accuracy of laser scanning—Derived digital terrain and target models in forest environment. International Archives of Photogrammetry and Remote Sensing, ISPRS Archives. Available online: https://www.researchgate.net/publication/237776901_Elevation_accuracy_of_laser_scanning-derived_digital_terrain_and_target_models_in_forest_environment.
42. Hyyppä, J., Mielonen, T., Hyyppä, H., Maltamo, M., Yu, X., Honkavaara, E., and Kaartinen, H. (2005, January 12–14). Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds. Proceedings of the ISPRS WG III/3, III/4, V/3 Workshop “Laser scanning 2005”, Enschede, the Netherlands. Available online: https://www.researchgate.net/publication/229029322_Using_individual_tree_crown_approach_for_forest_volume_extraction_with_aerial_images_and_laser_point_clouds.
43. Morsdorf, F., Meier, E., Koetz, B., Nüesch, D., Itten, K., and Allgöwer, B. (2003, January 6–11). The potential of high resolution airborne laser scanning for deriving geometric properties of single trees. Proceedings of the EGS—AGU—EUG Joint Assembly, Nice, France. Available online: https://www.researchgate.net/publication/252268314_The_potential_of_high_resolution_airborne_laser_scanning_for_deriving_geometric_properties_of_single_trees.
44. Pitkänen, J., Maltamo, M., and Hyyppä, J. (2004). Adaptive methods for individual tree detection on airborne laser based canopy height model. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Archives. Available online: https://www.isprs.org/PROCEEDINGS/XXXVI/8-W2/PITKAENEN.pdf.
45. Weinacker, H., Kock, B., Heyder, U., and Weinacker, R. (2004). Development of filtering, segmentation and modelling modules for LiDAR and multispectral data as a fundament of an automatic forest inventory system. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Archives. Available online: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.215.2751&rep=rep1&type=pdf.
46. Assessing the possibility of land-cover classification using lidar intensity data
47. Airborne laser scanning in Poland—Between science and practice10.2478/apcrs-2019-0008 ↗
48. Maguire, D.J., Goodchild, M.F., and Rhind, D.W. (1991). Digital terrain modelling. Geographical Information Systems: Principles and Applications, Longman.
49. Andrienko, N., and Andrienko, G. (2006). Exploratory Analysis of Spatial and Temporal Data—A Systematic Approach, Springer.
50. Dykes, J., MacEachren, A.M., and Kraak, M.-J. (2005). Exploring geovisualization. International Cartographic Association, Elsevier.10.1016/B978-008044531-1/50454-1 ↗
51. Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach10.1559/1523040053722150 ↗
52. Litwin, U., and Zawora, P. (2009). Spatial structure valuation with normalized land revelance indicators. Acta Scientiarum Polonorum. Administratio Locorum 8/2, Available online: https://czasopisma.uwm.edu.pl/index.php/aspal.
53. Zawora, P., and Litwin, U. (2009). Valuing building land using economic indicators of site significance. Acta Scientiarum Polonorum. Administratio Locorum 8/4, Available online: https://czasopisma.uwm.edu.pl/index.php/aspal.
54. The use of land surface numerical models and aerial photographs in the assessment of morphological forms for landscape valorization
55. Application of DEM and Digital Orthophotomap in Recording Changes Occurring in the Landscape on the Example of Domaniow Reservoir
56. Application of orthophotomap and digital terrain model for presentation of changes in ways of agricultural land use