6 datasets found

The dataset used for the detection and prediction of Harmful Algal Blooms (HABs) using machine learning techniques and remote sensing data.

EUROCROPSML is an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe.

The proposed network utilizes a classification-regression paradigm with a ViT to incorporate holistic features and local features. The regression phase with hybrid regression...

Air pollution dataset using remote sensing and machine learning to predict pollutant concentrations in the Iberian Peninsula

A curated, large-scale, multivariate data set of historical wildfires aggregating nearly a decade of remote-sensing data across the United States.

The dataset used for training and testing the classification models for tree decay stages from combined airborne LiDAR data and CIR imagery.