ACQUAL

Mapping slums in different urban environments across the Globe is extremely important for locating and prioritizing hotspots of urban poor for urgent climate action to combat the impact of cl

Deep learning algorithms have gained increasing popularity in remote sensing due to their accuracy.

UN-Habitat estimates that over one billion people around the world live in slums, which are often located in hazard-prone areas.

Deep learning algorithms can achieve great accuracies, but there are also concerns about biases and generalizability to unseen data.

Access to safe drinking water, sanitation and hygiene (WASH) services and associated health benefits are widely enjoyed in high-income countries , where centuries of investment in infrastruct

Being freely available, weather- and sunlight-independent, Copernicus Sentinel-1 data are increasingly being used for a variety of remote sensing applications.

3D models such as Building information models (BIM) are valuable for industry for various planning purposes.

Data acquired from indoor environments contains a lot of valuable information about the assets and facilities.

3D models such as Building information models (BIM) are valuable for industry for various planning purposes.

So far, more than 6.5 million people have died from COVID-19, and still, there are around 1000 deaths per day.