Detection of Changes in Terrestrial Ecosystems of Ukraine Using Remote Sensing Data
Keywords:
remote sensing data, desertification, water detection, climate change, soil moisture, water index
Abstract
In recent years, Ukraine has been affected by climate change. This has led to frequent extreme weather events (heavy / high rains, floods, droughts, squalls). As a result of droughts, desertification is one of the most dangerous and transient consequences of modern climate change. The research is devoted to the diagnostic assessment of the modern climate of Ukraine. Remote sensing data and instrumental observations of 30 weather stations of Ukraine were used. Temperature increase was registered in the study area by all stations, which significantly affected the level of precipitation. At the moment there is not enough moisture for the Earth’s surface. Precipitation in Ukraine is currently characterized by an uneven distribution. It leads to accelerated processes of soil degradation and it’s fertility loss. The aim of the study was to identify areas prone to desertification using satellite imagery and meteorological observations. Over the past 17 years (2000-2017), the average air temperature in Ukraine has increased by 1.5 ºC. Particularly anomalous warming has been recorded in recent years, starting in 2015. During the XXI century, a slight decrease in precipitation was observed in Ukraine. Both a decrease in precipitation and an increase in temperature may lead to a decrease in soil moisture levels. According to ground meteorological data, the tendency of dryness in Ukraine was confirmed. Lack of water leads to prompt manifestation of this process. Water indexes were used to estimate the moisture content of surface soils. It is possible to assess the susceptibility of the desert area to climate change. Relevant quantitative information on water availability in Ukraine is provided. Two water indices (Normalized Difference Infrared Index NDII and Ratio Drought Index RDI) have been taken estimate the moisture content. It can be estimated from the MODIS MOD13C2 product data obtained from the MODIS satellite sensor and used for regional research. The main conclusion of this study is to determine the changes in natural terrestrial ecosystems in Ukraine. This was shown on the basis of temperature and humidity. Such trends may lead to changes in the biodiversity of the territory and loss of natural soil properties.References
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3. Elistratova L. A., Apostolov A. A., 2018. Pro stan i podal`shi zminy` klimatu Ukrayiny` pry` jogo poteplinni [Towards a state and further changes of climate in Ukraine due to warming]. Scientific Notes: Mykhailo Kotsiubynsjyi State Pedagogical University Series: Geography, 30(1-2), 25-34 (in Ukraine).
4. Gao B. C., 1996.NDWI – a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ 58, 257– 266. doi:10.1016/S0034-4257(96)00067-3
5. Gunin P. D., Pankova E. I., 2004. On the role of Russian scientists in the development of the concepts of desertification of arid and semiarid ecosystems. Soils, biogeochemical cycles and biosphere. The development of the Victor Abramovich Lovdr ideas. Ed. By Glazovski N. F., Moscow. Uzd. KMK. 226-238. (in Russian).
6. Gunin P. D., Miklyayeva I. M., 2006. Modern degradation processes and ecosystems desertification in East Asia in the steppes and forest-steppes. Modern global changes in the natural environment. Moscow. Scientific World. 1. 389-412. (in Russian).
7. Hardisky M.A., Klemas V., & Smart R.M., 1983.The Influence of Soil Salinity, Growth From, and Leaf Moisture on the Spectral Radiance of Spartina Gaoalterniflora Canopies. Photogrametric Engineering and Remote Sensing 49(1), 77-83.
8. Kokhan S., Moskalenko A., & Drozdivsky O., 2018. Quantitative land suitability mapping for crop cultivation. Communications-Scientific Letters of the University of Zilina 20(3), 77-83.
9. Lyalko V. I., Elistratova L. A., Apostolov A. A., 2015. Porivnyal`ni doslidzhennya posuxy` za suputny`kovy`my` ta meteorologichny`my` indeksamy` na pry`kladi 2007 roku v Ukrayini [Comparative researches of a drought using satellite and meteorological indexes for 2007 within Ukraine as an example]. Space Science and Technology. 21(3), 27-30 (in Ukraine).
10. Lyalko V.I., Elistratova L. O., Apostolov O. A., Khodorovsky A. Ya., Czechniy V. M., 2018. Ekspres-otsinka eroziino nebezpechnykh dilianok gruntovoho pokryvuna terytorii Ukrainy z vykorystanniam danykh dystantsiinoho zonduvannia Zemli z vrakhuvanniam klimatychnykh faktoriv ta roslynnosti [Express-evaluation of potentially erosive soils on the territory of Ukraine, by using the remote sensing data with consideration of climatic factors and vegetation]. Dopov. Nac. Akad. Nauk Ukr. 3, 87-94. doi.org/10.15407/ dopovidi2018.03.087(in Ukraine).
11. Lyalko V. I., Elistratova L. A., Apostolov A. A., Romanciuc I. F., 2019. Dosvid ocinyuvannya zmin pry`rodnogo seredovy`shha v Ukrayini z zastosuvannyam materialiv kosmichnoyi zjomky` [Experience of assessing environmental changes in Ukraine based on space imagery data]. Proc. Int. Conf. “Environmental Safety and Balanced Nature-Used in Agroindustrial Production”. Kyiv, 164-168. (in Ukraine).
12. Movchan D., Kostyuchenko Y., Marton L., Frayer O., Kyryzyuk, S., 2014.Uncertainty Analysis in Crop Productivity and Remote Estimation for Agricultural Risk Assessment. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, Edited by Michael Beer; SiuKui Au; and Jim W. Hall. ASCE, Liverpool, UK, 1008-1015. doi: 10.1061/9780784413609.102
13. Nakicenovic N., Alcamo J., Grubler A., Riahi K., Roehrl R. A., Rogner H-H., & Victor N., 2000. Special Report on Emissions Scenarios (SRES), A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, 599. http://pure.iiasa. ac.at/6101
14. Pinder J. E., III, & McLeod K. W., 1999. Indications of relative drought stress in longleaf pine from Thematic Mapper data. Photogrammetric Engineering and Remote Sensing 65, 495–501.
15. Report of the United Conference on Environment and Development at Rio de Janeiro,. Managing Fragile Ecosystems, Combat Desertification and Drought. Chapter 12. 1992. UNCED - http:// www.un.org/esa/sustdev/documents/agenda21/ english/agenda21chapter12.html
16. Sakhatsky O. I., 2010. Metodolohiia vykorystannia materialiv bahatospektralnoi kosmichnoi ziomky dlia vyrishennia hidroheolohichnykh zadach [Methodology of multispectral space imagery materials usage for solving of hydrogeological problems] (ublished Doctor thesis). Scientific Center for Aerospace Research of the Earth IGS of the NAS of Ukraine, Kiev, Ukraine (in Ukrainain).
17. UNCCD: United Nations Convention to Combat Desertification, Interim Secretariat for the Convention to Combat Desertification, Genève Executive Center-C. Genève: Chatelaine. 71. 1994, 76-1219.
18. Zholobak G. M., Sibirtseva O. M., Vakoluk M. V., &Romanciuc I. F., 2018. Analizdynamiky 15ty vehetatsiiny khindeksiv, obchyslenykh za danymy suputnyka Sentinel2A dlia dvokh vidminnykh za stanom test dilianok posiviv ozymoi pshenytsi Lisostepovoi zony Ukrainy [Analysis of dynamics for 15 vegetation indices based on Sentinel2A image data for the test sites of winter wheat crop different on the state from each other within forest-steppe zone in Ukraine]. Ukrainian journal of remote sensing 18: 32-39 https://ujrs.org.ua/ ujrs/article/view/135 (in Ukrainian).
Published
2020-04-09
How to Cite
Lyalko, V., Romanciuc, I., Yelistratova, L., Apostolov, A., & Chekhniy, V. (2020). Detection of Changes in Terrestrial Ecosystems of Ukraine Using Remote Sensing Data. Journal of Geology, Geography and Geoecology, 29(1), 102-110. https://doi.org/https://doi.org/10.15421/112010
Section
Статьи
