Ocean plastic pollution is one of the greatest environmental challenges facing our planet today. The vastness of the oceans, ...

Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

The Nasa-Isro Synthetic Aperture Radar (Nisar) is now systematically scanning the Indian landmass, offering a new way to track one of agricu.

The NASA-ISRO Synthetic Aperture Radar (NISAR) is capturing high-resolution soil-moisture data across India. With two ...

Multispectral remote sensing images suffer from a wide range of degradations due to noise, blur, haze, compression, striping, and other distortions. While there is rich literature in the restoration ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate ...

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Tool uses remote sensing to reduce uncertainties regarding agricultural losses, contributing to public policy.

Satellite-based hydrology, particularly leveraging the GRACE and GRACE-FO missions, has revolutionized our understanding of ...

Like every other field, the field of remote sensing is undergoing one of the most transformative shifts in its history in ...

Abstract: The multimodal remote sensing image matching is crucial for many applications. However, nonlinear intensity distortion (NID) significantly impairs matching performance, especially when ...