New AI model by IBM-NASA to help track Earth’s climate change
New AI model by IBM partnered with US space agency. NASA to design a new geospatial foundation model to track climate change. On Earth, the company announced in a blog post.
The new geospatial foundation model, which is part of IBM’s .Space Act Agreement . With NASA, converts the space agency’s satellite observations into customised maps of natural disasters and other environmental changes.
The first-ever foundation model for analysing geospatial data. Will help to estimate climate-related risks to crops, buildings, and other infrastructure,Valuing and monitoring forests. For carbon-offset programmes, and also to developing predictive. Models to help enterprises create strategies to mitigate and adapt to climate change.
“The model could speed up geospatial analysis by three to four times, and can help reduce amount of data cleaning. And labelling, Required in training a traditional deep-learning model,” Sriram Raghavan, VP, IBM Research AI.And Christina Shim. Head of Strategy and Sustainability,New AI model by IBM Sustainability. Software, wrote in the blog post.
“We see how this technology can be applicable to businesses. As they look for easier and faster ways to analyse and draw insights from climate data,” they added.
Instead of training a foundation model on words, the IBM experts taught the AI model to understand satellite images. They pre-trained NASA’s Harmonised Landsat Sentinel-2 (HLS-2) data.
The HLS data provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites.
The combined measurement helps enable global observations of the land every two to three days at 30 metre spatial resolution.