Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …

Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …

Artificial Intelligence (AI) can be deployed for a wide range of applications to promote the
goals of the European Green Deal. However, adverse environmental impacts of AI could …

Geo-spatial object detection in high-resolution satellite images has many applications in
urban planning, military applications, maritime surveillance, environment control and …

Road segmentation in high spatial resolution satellite images is an important research topic
and has numerous applications in traffic monitoring and intelligent transportation systems …

Progress in ML in the last decade has been extraordinary and has rekindled the notion that
AI systems could eventually reach human levels of performance, which was abandoned for …

Earth observation (EO) has been a key task for satellites since the first time a satellite was
put into space. The temporal and spatial resolution at which EO satellites take pictures has …

Small object tracking in low-resolution remote sensing images presents numerous
challenges. Targets are relatively small compared to the field of view, do not present distinct …

Video Question Answering (VidQA) exhibits remarkable potential in facilitating advanced
machine reasoning capabilities within the domains of Intelligent Traffic Monitoring and …