Rivers do not sit still for easy measurement. Some shift across floodplains, some hide under tree cover, and some disappear ...

River experts say new satellite technology holds the promise of protecting water quality around the world. Rivers can be ...

A comparison of 1984 and 2020 satellite imagery shows how what was once Bolivia’s second-largest lake, covering 1,000 square ...

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

River water levels (RWLs) are fundamental to hydrology, water resource management, and disaster mitigation, yet the majority of the world’s rivers remain ungauged. Here, using 46,993 virtual stations ...

Natural disasters such as flood, wildfire, drought, and severe storms wreak havoc throughout the world, causing billions of dollars in damages, and uprooting communities, ecosystems, and economies.

Ocean colour is defined as spectral variations in water leaving radiance, or reflectance, in visible bands of the electromagnetic spectrum. A primary application of ocean-colour data is to observe the ...

Cities play an important role in achieving sustainable development goals (SDGs) to promote economic growth and meet social needs. Especially satellite imagery is a potential data source for studying ...

Satellites are a powerful investigative tool. Journalists are mining satellite imagery and remote sensing data to expose a widening array of problems: tree loss and forest fires, pandemic risk and ...

InfeRes is a python package that is designed to help automatic extraction of reservoir characteristics (water surface area, level, and storage volume) time-series by taking leverage of the Google ...