Development of geoinformation system for identification and time monitoring of damaged lands due to illegal extraction of amber
Abstract
On basis of the analysis of existing elaborations determining places of the illegal extraction of amber by data of remote sensing of the Earth were established basic deciphering signs of the phenomenon researched. Methods were developed to identify lands damaged as a result of the illegal extraction of amber taking into account the specifics of data processing obtained from different types of satellite surveying systems: WorldView-2/3, Pleiades-1, Spot-6/7, Planet Scope, Sentinel-2B. The structure is substantiated and modular geoinformation system was developed on basis of GIS QGIS with added modules from open libraries GDAL, GRASS. The developed methods and modules of geoinformation system were tested on researched testing grounds with automated identification and calculation of areas of damaged lands.
Keyword : illegal extraction of amber, damaged lands, multi-spectral satellite photos, indexed and composite images, QGIS, geoinformation system of lands monitoring
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
ESA. (n.d.). SENTINEL Missions. Retrieved February 10, 2019, from https://sentinel.esa.int/web/sentinel/missions
Filipovych, V. Ye. (2015a). Operational control over spreading the illegal extraction of amber and evaluation of losses caused to state by materials of multi-zonal cosmic survey. Ecological Safety and Land Use, (4), 91–97 (in Ukrainian).
Filipovych, V. Ye. (2015b). Satellite monitoring of territories of illegal amber extraction. Ukrainian Journal of Remote Sensing of Earth, (6), 4–7 (in Ukrainian).
Filipovych, V. Ye., Krylova, G. B., & Lubsky, M. S. (2015, October 5–9). Method of searching and localization of plots of illegal amber extraction by materials of multi-zonal cosmic survey. In Modern Information Technologies of Managing Ecological Safety, Land Use, Measures in Extraordinary Situations: Coll. of sc. papers of 14th International sc.-prac. confer. (pp. 181– 198). Kyiv, Pushcha-Vodytsya (in Ukrainian).
Filipovych, V. Ye., & Shevchuk, R. M. (2016). Methods and technology of assessing damage incurred to Ukrainian state as a result of illegal amber extraction. Ukrainian Journal of Remote Sensing of Earth, (11), 15–21 (in Ukrainian).
Geographic Resources Analysis Support System. (n.d.). Retrieved February 10, 2019, from https://grass.osgeo.org/
Geospatial Data Abstraction Library (n.d.). Retrieved February 10, 2019, from https://gdal.org/
Masley, V. I., Mozgovoy, D. K., Blousov, K. G., Khoroshilov, V. S., Bushanskaya, A. S., & Galich, N. G. (2016). Methods of evaluating consequences of amber extraction by multispectral satellite photos. Cosmic Science and Technology, 22(6), 26–36 (in Russian). https://doi.org/10.15407/knit2016.06.026
Murai, S. (1993). Remote sensing note. Japan Association on Remote Sensing.
NASA. (n.d.). Thermal Infrared Sensor (TIRS). Retrieved February 10, 2019, from https://landsat.gsfc.nasa.gov/thermalinfrared-sensor-tirs/
Naumeth, T. A. (2014). Problems of using and organizing amber bearing territories of Ukrainian Polissya. Scientific Visnyk of Uzhgorod University. Series: Geography. Land Management. Nature Use, (3), 270–278. (in Ukrainian).
Okharev, V. O. (2016, August 22–27). Cosmic monitoring and geoinformation technologies in tasks of comprehensive evaluation of technogenic pollution of environment. In Theses of 16th Ukrainian Conference on Cosmic Researches (p. 212). Odessa, Ukraine (in Ukrainian).
Pansharpening dannyh Landsat 8 sredstvami svobodnogo PO [Pansharpening of Landsat 8 data by means of free software]. (n.d.). Retrieved February 10, 2019, from http://wiki.gis-lab.info/w/Паншарпенинг_данных_Landsat_8_средствами_свободного_ПО (in Russian).
Prokopchuk, A., Yanchuk, O., & Savytsky, A. (2018, December 13–15). Monitoring of surface temperature of water reservoircooler of Kmelnitsky APS by data of Landsat satellite. In International Scientific-Technical Conference of Young Scientists “GeoTerrace-2018” (pp. 142–143). Lviv, Ukraine (in Ukrainian).
Ready, P., & Wintz, P. (1973, November). Information extraction, SNR improvement, and data compression in multispectral imagery. IEEE Transactions on Communications, 21(10), 1123–1131. https://doi.org/10.1109/TCOM.1973.1091550
SAGA GIS. (n.d.). Retrieved February 10, 2019, from http://www.saga-gis.org/en/index.html
Yanchuk, R. M., Prokopchuk, A., & Trokhymets, S. M. (2017). Identification and determination of areas of damaged as a result of amber extraction lands on basis of multi-zonal satellite photos of Sentinel-2. Present-Day Achievements of Geodetic Science and Production, (1(33)), 120–124 (in Ukrainian).