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Geoinformatika 2018; 2(66) : 74-82

УДК 528.852.8

METHODS OF REMOTE SENSING OF THE EARTH IN TASKS OF FOREST COVERED TERRITORIES DATA ACTUALIZATION

K. Priiadka, V. Peresadko

V. N. Karazin Kharkiv National University, Svobodu sq, 4, Kharkiv 61000, Ukraine

Purpose. As the title implies, the article describes the problems of the use of remote sensing data for the purposes of forest management and use of forest resources. It gives a detailed analysis of the possibilities of using Landsat 8 space images with a resolution of 30 m / pixel for semi-automatic search of interest objects, using three screening criteria. It is shown that the current system of forestry accounting and management in Ukraine has repeatedly undergone attempts to reform and bring to the modern requirements of European and world experience in forestry. Nevertheless, the process of unification of the requirements for the management of cartographic information is not completed yet.  The purpose of the article is to study the possibility of using Landsat 8 satellite images in the process of monitoring and updating the mapping information about the forestry.
Design/methodology/approach. Opportunities of remote sensing methods was used during the experiment. The author’s own achievements as well as the research results of domestic and foreign investigators made the methodical basis for the article.
Findings. Literature analysis of the information on the mapping of vegetation reveals shows, that there are existing large differences between different studies, therefore validation of data at the regional level remains an important point for assessing the accuracy of vegetation maps. Despite the growth of land-use detection methods, the production of precise maps and the reflection of changes in regional land and forest use remains a difficult issue.
Considering for users’ needs of simplest way information getting, during the study was applied a segmentation principle – a tool that automatically divides the image into segments, grouping adjacent pixels with the same characteristics (reflectivity, color, texture) in ENVI 5.0. After grouping the pixels by the characteristic features the basic parameters search from the pre-classified image, were obtained potential objects of analysis.
Practical value/implications. It has been found that analysis of the above results showed that the original and experimental images converge by 87%. Along with the traditional methods of ground surveying, the effective way to monitor and update cartographic information is to obtain data by remote sensing. Using Landsat 8 satellite imagery and analyzing it with the help of the specialized software ENVI 5.0 cannot be called the only available method of obtaining information, but this method is one of the simplest and relatively inexpensive. This method of obtaining information has several shortcomings which, however, can be eliminated by processing larger resolution images and improving the method of grouping the desired objects.

Keywords: ERS, Landsat, space image, decryption, forestry, wooded area, grouping, GIS.

 

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