Decoding the features of agricultural crops in the Amur Region based on satellite observation data

The objective of the study is to determine the identifying features of the main agricultural crops grown on agricultural lands in the Amur Region using satellite observation data. Research was carried out in the summer of 2024 on the arable lands of the Mikhailovsky Municipal District, located in the southern part of the Amur Region (49°38' N and 128°38' E). The objects of the study are sown areas where such agricul-tural crops as soybeans, corn, potatoes are grown, as well as fallow lands, for the summer vegetation pe-riod of crops in 2024. The study was carried out using specialized equipment and software for Earth re-mote sensing (ERS) and unmanned aerial systems (UAS). Research proposes identifying features that make it possible to recognize agricultural crops using Earth remote sensing (ERS) methods; as a confir-mation of the remote sensing data, trips were made to the agricultural fields of interest. The area of re-search is more than 10 thousand hectares. According to the presented decoding features, it is possible to identify such information as: the period of plowing of an agricultural field, the period of vegetation and har-vesting of a certain agricultural crop, the selection of specific high-resolution satellite data, the definition of color for a specific agricultural crop due to the use of multi-temporal composite color-synthesized images, the formation of an NDVI vegetation schedule with the possibility of using additional functions. Due to the presence of features of vegetation of agricultural crops in the Amur Region, the results of the obtained studies can only be applied within the boundaries of the region. In order to increase the reliability of the presented values and continue research to determine the decoding features, it is planned to expand the presented list of decoding features for all agricultural crops and lands in the territories of municipalities of the Amur Region with the possibility of creating methodological and cartographic material for the decoding features of agricultural crops in the Amur Region based on satellite observations.