University of Minnesota Twin Cities

How researchers are using AI and satellite data to address global challenges

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.
IEEE

Enhancing Land Use and Land Cover Classification in Satellite Imagery Using Vision Transformers: A Comparative Analysis with Convolutional Neural Networks

Abstract: The accurate classification of Land Use and Land Cover (LULC) is imperative for spatial applications such as resource management, environmental monitoring, and satellite image analysis.
IEEE

Prediction of Land use and Land cover using Google Earth Engine (GEE) and Machine Learning Algorithms

Abstract: Spatiotemporal distribution of Land Use and Land Cover changes, in addition to a variety of socio-ecological concerns, including the links between human activity, physical surroundings, and ...