APPLICATION OF REMOTE SENSING OF THE EARTH FOR MONITORING GREEN SPACES IN THE CITY OF YAKUTSK

Abstract

To monitor the dynamics of green spaces in the city of Yakutsk, a spatial-temporal analysis of the territory was carried out using remote sensing materials. The studies were carried out on the basis of Landsat 4, 5 and Landsat 8 space survey materials. Space data processing was carried out using the IDRISI Selva program. Monitoring of green spaces was carried out with an interval of 5 years and maps of Yakutsk were compiled. The images were digitized in the Maxlike module. A forecast of spatio-temporal changes in the areas of certain categories of land in the study area for 2028 was made. With the help of CA_Markov chain model, a forecast of land cover change for 10 and 11 years ahead was made. To identify the results of these added layers and to predict changes in greenery, a classification of Maxlike maximum plausibility was made and a table of space-time results of Maxlike modules was made. Error calculations were made based on the data of the temporal analysis of images to check the accuracy of remote sensing data processing with true and predicted data.