GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan ...

In a first for the field, researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign ...

Mountain environments feature steep terrain, variable climates, and diverse ecosystems, making traditional data collection ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Change detection (CD) is a crucial application in the field of remote sensing. Most current CD methods are based on deep learning and revolve around multispectral data. However, a common issue arising ...

Therefore, a detailed review of the different data preprocessing methods for RS data such as atmospheric correction, data fusion, noise reduction, cloud masking, sunglint correction, resampling, and ...

By openly sharing a wide range of preprocessed data and derivatives, the Neuro Bureau Preprocessing Initiative seeks to make neuroimaging research accessible to a wider audience of researchers.