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The State of Forests Growing on Iron Oxide-Saturated Soils of Azerbaijan. P. 117–125
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These works are licensed under a Creative Commons Attribution 4.0 International License.
Bahram G. Aliyev, Valida M. Mamedaliyeva
UDС
528.856:630*5
DOI:
10.37482/0536-1036-2022-6-117-125
Abstract
Today Azerbaijan focuses on the non-oil sector development. The mining industry is actively growing, to become one of its driving forces. This is detrimental to the ecology of the region. The intensive mining activity has become one of the reasons for the mountain forests degradation in the West of the country. The article is devoted to the study of the mutual influence of the forests state and the presence of minerals containing iron oxides in the soil in the Lesser Caucasus region, which involves two industrially developed districts of Azerbaijan: Dashkesan and Gadabay. The study is based on the calculation of spectral indices of satellite imagery over a significant period of time. The paper shows the processing of satellite images, including their pretreatment, spectral, geospatial and correlation analysis aimed at finding quantitative coefficients of the relationship between the iron oxides fraction in the soil and the forest state. Spectral analysis allows determining the forest state by calculating the SIPI vegetation index, as well as the iron oxide minerals presence in the soils of the region by calculating the Ferric oxides multispectral index. Geospatial analysis is designed to assess the forest state in the areas of these mineral deposits. Correlation analysis is used to compare the degradation processes in the studied districts. There are electronic maps compiled by overlapping the forest state and the iron oxide content maps. There is a dynamics confirming an increase in the share of degraded forests in the areas of research.
Keywordsforest-vegetation cover, mountain forests, satellite images, spectral indices, forest state, minerals, iron oxide
For citation
Aliyev B.G., Mamedaliyeva V.M. The State of Forests Growing on Iron Oxide-Saturated Soils of Azerbaijan. Lesnoy Zhurnal = Russian Forestry Journal, 2022, no. 6, pp. 117–125. (In Russ.). https://doi.org/10.37482/0536-1036-2022-6-117-125
References
-
Aliyev B.G., Aliyev I.N. Erosion Problems in Azerbaijan and Ways to Solve Them. Baku, Nurlan Publ., 2000. 122 p. (In Russ.).
-
Buzmakov S.A., Sannikov P.Yu., Andreev D.N. Preparation and Applying of Aerial Photography for the Forest Studying. Izvestia of Samara Scientific Center of the Russian Academy of Sciences, 2016, vol. 18, no. 2, pp. 313–316. (In Russ.).
-
All about Geoplogy. Dashkesan Deposit. https://wiki.web.ru/wiki/Месторождение_Дашкесан (In Russ.).
-
Mountain Forests are the Basis of Our Future. Division for Assessment, Rational Use and Conservation of Forests, Food and Agriculture Organization of the United Nations, FAO. Режим доступа: http://caresd.net/img/docs/8517.pdf (дата обращения: 31.10.22). (In Russ.).
-
Dashkesan. Режим доступа: https://portal.azertag.az/ru/node/2598 (дата обращения: 31.10.22). (In Russ.).
-
Kolesnikova O.N., Cherepanov A.S. New ENVI Software Opportunities for Processing Multispectral and Hiperspectral Data. Geomatica, 2009, no. 3, pp. 24–27. (In Russ.).
-
Chemical Classification of Minerals. Belarusian State University. Режим доступа: https://bsu.by/faculties/ekspozitsii-muzeya/khimicheskaya-klassifikatsiya-mineralov.php (дата обращения: 29.11.22). (In Russ.).
-
Cherepanov A.S. Vegetation Indices. Geomatica, 2011, no. 2, pp. 98–102. (In Russ.).
-
Cherepanov A.S., Druzhinina E.G. Spectral Properties of Vegetation and Vegetation Indices. Geomatica, 2009, no. 3, pp. 28–32. (In Russ.).
-
Chukhlantsev A.A., Savorskij V.P. Remote Sensing of Forests in Context of Global Change. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa = Current problems in remote sensing of the Earth from space, 2011, vol. 8, no. 2, pp. 246–256. (In Russ.).
-
Altamirano A., Aplin P., Miranda A., Cayuela L., Algar A.C., Field R. High Rates of Forest Loss and Turnover Obscured by Classical Landscape Measures. Applied Geography, 2013, vol. 40, pp. 199–211. https://doi.org/10.1016/j.apgeog.2013.03.003
-
Dashkesan Co-Fe Deposit, Dashkesan, Dashkesan District, Azerbaijan. Mindat. Available at: https://www.mindat.org/loc-2780.html (accessed 22.04.21).
-
Ducart D., Silva A., Toledo C. et al. Mapping Iron Oxides with Landsat-8/OLI and EO-1/Hyperion Imagery from the Serra Norte Iron Deposits in the Carajás Mineral Province, Brazil. Brazilian Journal of Geology, 2016, vol. 46, no. 3, pp. 331–349. https://doi.org/10.1590/2317-4889201620160023
-
Geology Indices Background. L3Harris. Available at: https://www.l3harrisgeospatial.com/docs/backgroundgeologyindices.html (accessed 22.04.21).
-
Lausch A., Erasmi S., King D.J., Magdon P., Heurich M. Understanding Forest Health with Remote Sensing – Part I – A Review of Spectral Traits, Processes and Remote-Sensing Characteristics. Remote Sensing, 2016, vol. 8, iss. 12, art. 1029. https://doi.org/10.3390/rs8121029
-
Lewis S.L., Edwards D.P., Galbraith D. Increasing Human Dominance of Tropical Forests. Science, 2015, vol. 349, iss. 6250, pp. 827–832. https://doi.org/10.1126/science.aaa9932
-
Mate A.R., Deshmukh R.R. Analysis of Effects of Air Pollution on Chlorophyll, Water, Carotenoid and Anthocyanin Content of Tree Leaves Using Spectral Indices. International Journal of Engineering Science and Computing, 2016, vol. 6, no. 8, pp. 5465–5474.
-
Nemani R.R., Keeling C.D., Hashimoto H., Jolly W.M., Piper S.C., Tucker C.J., Myneni R.B., Running S.W. Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999. Science, 2003, vol. 300, iss. 5625, pp. 1560–1563. https://doi.org/10.1126/science.1082750
-
Parashar S., Bhatia K., Bhadola S. Image Processing: A Methodology to Detect Plant Diseases. International Journal of Computer Science and Mobile Computing, 2019, vol. 8, iss. 4, pp. 209–216.
-
Sergieieva K. Spectral Indices to Drive Digital Agri Solutions. EOS Data Analytics. Available at: https://eos.com/blog/vegetation-indices/ (accessed 10.01.22).
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