ANALYSIS OF IMAGES OF FOREST PLANTATIONS

Abstract

The flora and fauna of the Earth suffer from information and atomic progress. First of all, green plantations and forests suffer. Their functionality includes providing life on the planet from birds to plants, suspend the concentration of oxygen in the air and significantly reduce the presence of dust in it and significantly reduce the level of dust and regulate water balance, mitigate climate, humidity. Forests are divided into three groups according to the function they provide. One of the methods that provides regulated environmental supervision is monitoring.

          The paper considers the possibility of creating a software application that could provide information about changes in forests and thus analyze images of satellite images of the earth's surface. Access to images taken in the last 20 years is limited, so a classification of images was used. On the basis of the developed functionality the decision of such questions as storage of pictures according to classification, their analysis, comparison on years, access to any picture of any year (for the last 20 years) and check of the received results is provided.

       The development of satellite systems contributes to the increase of data for research. On the basis of KPI them. Igor Sikorsky developed Politan 1, Politan 2 satellites and continues to work on Politan 3. Politan 3 will provide a new image data format, including the classification of images by green. The constant growth of image processing software technologies does not allow to create a single universal software product that meets all the needs of the user and has adapted to the specific requirements of each of them. The paper considers the basic set of functions required for the study of images of green areas of the Earth based on the analysis of their impact on nature. This functionality provides recommendations for reducing the negative effects of human activities on the environment.

           Keywords: remote sensing of the earth, pictures of forest plantations, satellite pictures, image analysis.