Hydrology Paper of the Day @AndradeJmn on utilizing machine learning to classify forest landcover in the Caatinga region of Brazil: NDVI images from single and multiple times of collection; application of ML Random Forests; and spectral and temporal classification accuracies.

Evaluating single and multi-date Landsat classifications of land-cover in a seasonally dry tropical forest

Accurate information on the land cover is crucial for efficient monitoring and development of environmental studies in the Brazilian Caatinga forest. …