Mapping

Spatially Autocorrelated Training and Validation Samples Inflate Performance Assessment of Convolutional Neural Networks

Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive …

Solar Photovoltaic Module Detection Using Laboratory and Airborne Imaging Spectroscopy Data

Over the past decades, solar panels have been widely used to harvest solar energy owing to the decreased cost of silicon-based photovoltaic (PV) modules, and therefore it is essential to remotely map and monitor the presence of solar PV modules. Many …