Method of constructing a space-time grid of variable size images and its application in image processing of landfills

Abstract

The paper proposes a method of slicing space images into areas of varying sizes to automate the image processing, beginning from the receipt of raw data (download pictures) up to mapping of the underlying surface indices. Indices calculation are based on one image (the surface and the vegetation indices temperature, indices of objects detection on the ground and etc.) and their time series (conducting temporal processing). The downloading of the sources of satellite images algorithm from the sites archives of geodata from the initial data download (the observation area, stage, time period, etc.) is also represented. The procedure of cutting images into segments of varying sizes is described. It allows to use the "contents" of image both in general and for each pixel of the earth's surface to have a whole time series of the spectral brightness coefficients. Examples of time series of geo-referenced source images and the individual indices of the underlying surface are automatically generated by the algorithm method, for specific problems of space debris monitoring (vegetation indices reaction, the degree of soil degradation, detection of indices).

Space monitoring to control the dynamics of changes in the resource potential of the tourist business under conditions of increased risk of emergencies

“…The authors of [12][13][14][15][16][30][31][32] developed a technique for detecting WDFs based on space imagery data, which makes it possible to decipher WDFs in an automated mode with the determination of traces, foci, the area of WDFs, and areas occupied by the components of the WDF surface.…”

“…In the process of deciphering the SI, we will use the vegetation indices [7][8][9][10]: NDVI, SAVI, LST, SWIR, SAWI, as well as the geological indices Clay Minerals Ratio and Ferrous Minerals Ratio [17,27,30].…”