PROCESSING METHOD OF SENTINEL-1 SATELLITE IMAGES FOR THE ANALYSIS OF GROWING OF AGRICULTURAL CROPS

Remote Sensing & GIS for Environmental Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Zoriana Ryzhok Ph.D. zoryana.rizhock [at] gmail.com Lviv National Environmental University
Lviv, Ukraine
Oksana Stupen Ph.D. oksanashufryn [at] ukr.net Lviv National Environmental University
Lviv, Ukraine
Roman Stupen Sc.D. romomas [at] ukr.net Lviv National Environmental University
Lviv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 23.08.2024 - 18:11
Abstract 

It has been established that the processing of Earth remote sensing data is a process of performing operations on space images, which includes their correction, transformation, improvement, deciphering and visualization. The main stages of space image data processing include preliminary and thematic processing, where the first one is the correction and improvement of the satellite image. The study presents the method of processing the channels of the Sentinel-1 radar satellite image in the SNAP program. Pre-processing of Earth remote sensing data includes geometric, radiometric, atmospheric correction of the image, geographic reference of the image from the EO Browser resource, received from the artificial satellite Sentinel-1, for the period from March 29 to September 30, 2023 for the Zhovtanetska territorial community Lviv region. After processing the satellite images, temporal statistics were calculated, determining the mean, minimum and maximum values, as well as the standard deviation. An RGB image was created for the purpose of assessing the territory of the Zhovtanetska territorial community of the Lviv region in order to decipher the cultivation of agricultural crops, which makes it possible to obtain up-to-date information about the structure and condition of agricultural lands.

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