Open AccessAdaptive methods of detecting environmental changes using multispectral satellite images on the Earth for example territory Solotvyno
Author(s) -
V.G. Yakimchuk,
K.Yu. Sukhanov,
Оlha Tomchenko
Publication year - 2021
Publication title -
ukraïnsʹkij žurnal distancìjnogo zonduvannâ zemlì
Language(s) - English
Resource type - Journals
ISSN - 2313-2132
DOI - 10.36023/ujrs.2021.8.1.187
Subject(s) - multispectral image , remote sensing , channel (broadcasting) , satellite , earth observation , multispectral pattern recognition , space (punctuation) , computer science , environmental science , geography , physics , telecommunications , astronomy , operating system
The methods for detecting environmental changes using two multispectral multispectral space images of the Earth, which can be used to assess changes in the ecological and geological environment to control the dynamics of processes in real time, in order to prevent environmental emergencies. The creation and operation of a system of continuous geoecological monitoring based on space information involves the detection of relative changes in the environment on two multispectral space images of the Earth, obtained after a certain period of time. To do this, it is necessary to develop and apply adaptive methods (indices) for detecting relative changes. Three methods are proposed that are adapted to specific images to find the optimal solution that maximizes the relative changes in two different time multispectral space images of the Earth. The first method selects one optimal channel from all channels of the space image, the second method - two optimal channels from all channels and the third - four optimal channels from all channels. There are known methods that assess the presence or absence of changes in two space images at different times, but they do not provide information about the direction of changes. The proposed indices can take positive and negative values, reflecting the trend of changes on the ground. The negative values of the indices obtained in the area near the village of Solotvyno, Tyachiv district, Zakarpattia region, correspond to the areas with the most dynamic changes in the environment of such exogenous processes as karst funnels and lakes, and positive values correspond to increasing vegetation areas. The results of comparing the application of the change detection index on two different multispectral space images of the Earth on four, two channels and one channel showed that increasing the number of channels can give a more reasonable picture of changes, but to concretize these changes requires ground-based observations.