Abstract
Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Leiden, Net herlands, by NewsRx correspondents, research stated, "Remote sensing imagery has an ever-increasing impact on important downstream applications, such as vegetat ion monitoring and climate change modelling. Clouds obscuring parts of the image s create a substantial bottleneck in most machine learning tasks that use remote sensing data, and being robust to this issue is an important technical challeng e." Financial supporters for this research include Netherlands Organization for Scie ntific Research (NWO), European Space Agency (ESA) under the Open Space Innovati on Platform (OSIP) research project "Physics-aware Automated Machine Learning (P A-AutoML) for Earth Observations", TAILOR -EU Horizon 2020 research and innovat ion programme.
NETL
NSTL