Accurately predicting crop yields is crucial for ensuring food security and promoting
agriculture. In this review, we delve into the integration of satellite imagery and …

The paper considers the problem of classification of agricultural crops. As is known, to solve
this problem, it is much more efficient to use not instantaneous remote sensing data or …

Remote sensing images often suffer from different types of haze. Its presence significantly
complicates remotely sensed image analysis that is crucial for monitoring of land state and …

An enhanced understanding of farmland gross primary productivity (GPP) is critical for
coping with rising food demand. The spatiotemporal distribution and patterns of GPP, actual …

In the context of climate change, forecasting the state and growth of vegetation has become
especially important. Software tools for forecasting the state of arid territories based on NDVI …

The article describes the development of variety models for winter wheat varieties for the
digital twin of plants-software for production process simulation of crops based on …

At present, forest stands are characterized by traditional methods, mainly manually using
eyeballing methods. Older, non-automated methods result in unreliable information about …

This article discusses the issues of generating a data array to determine the ice situation in
the Arctic zone. One data set proposes using radar imagery along with additional …

To improve the quality of surface observation, Earth remote sensing spacecraft (ERS
spacecraft) need to maintain the parameters of the working orbit, which degrade under the …

With the advancement of image generation technology, there has been a growing interest in
automating the creation of stylized fonts using computers. Traditionally, designers have had …