Basic vector thematic layers of the geoinformation model for the assessment of the ecological state of Pirallahi island
Автор: Jafarova N.R.
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Науки о земле
Статья в выпуске: 11-3 (86), 2023 года.
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Remote sensing methods and tools provide high- and medium-resolution satellite imagery, which makes it possible to monitor in detail the activities of oil fields and their impact on the environment, both on land and at sea. For operational processing and detection of the causes of oil pollution and mapping, digital thematic models of the studied territories are currently used. Digital thematic models that reflect the physical and geographical characteristics of the studied objects are created on the basis of map materials and updated using new remote sensing data. The advantage of such models is that it is this information that makes it possible to assess the quantitative and qualitative characteristics of the objects under study and can be used as input information in various models of the development of environmental and other situations and phenomena, both natural and anthropogenic. The aim of the work is to build a basic digital thematic model of oil fields on land and at sea in the waters of the island. Pirallahi (Azerbaijan) with the help of geoinformation technologies. The inclusion in the model of the physical and geographical parameters of the island and oilfield infrastructure facilities can serve as support for the effective decoding of satellite information, substantiation of the causes of environmental pollution during oil production, transportation and processing, prompt location of oil spills and indication of their location and causes. Methods for recognizing and mapping infrastructure objects, in part, such small ones as oil pumps, oil platforms at sea, ships and other objects, are considered.
Coastal zone, oil pollution, remote sensing, basic thematic layers, geoinformation model, monitoring
Короткий адрес: https://sciup.org/170201369
IDR: 170201369 | DOI: 10.24412/2500-1000-2023-11-3-113-119