Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …

Abstract Machine learning is an evolving branch of computational algorithms that are
designed to emulate human intelligence by learning from the surrounding environment …

Effective water management requires a large-scale understanding of agricultural irrigation
systems and how they shift in response to various stressors. Here, we leveraged advances …

The information on spatial distribution pattern and area of different crops is particularly
useful for monitoring and managing the sustainability of agricultural resources. However …

The immobilization of β-galactosidase on Cu-trimesic acid-based metal organic frameworks
(Cu-TMAs) was studied. The results showed that the immobilization yield was 79%, and the …

High spatial and temporal resolution satellite imagery are essential data for land cover
discrimination and mapping of vegetation dynamics, offering insights into the number …

In Pakistan, surface water supply for irrigation is decreasing, while water demand is
increasing for agriculture production. Also, due to the fast rate of population growth, land …

This paper takes account of the fact that there is a lack of consideration for imaging methods
and target characteristics of synthetic aperture radar (SAR) images among existing instance …

The intelligent detection of objects in remote sensing images has gradually become a
research hotspot for experts from various countries, among which optical remote sensing …

Panoptic segmentation is a recent and powerful task that tackles individual object
recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …