Model weights and training, validation, and test set images and masks for "Mapping the evolution of small reservoirs in Brazil from 1984 to 2025 using deep learning"

Annotated masks and Landsat 8 images split into training, validation, and test sets. Used for training convolutional neural network for small reservoir mapping across Brazil. - manet_landsat8.ckpt: PyTorch model checkpoint file containing model weights. - annotations_locations.csv: Basic information about annotation masks, including names, locations, and pixel-wise accuracy statistics of final model. Contains columns: name: File name, with .tif extension. Annotation file name is the same but with .png extension. split: train/val/test center_longitude, center_latitude: Coordinates of center of annotation xmin, xmax, ymin, ymax: Mask extents, in lat/lon coordinates - annotations.zip: Contains binary reservoir masks (0 is non-reservoir, 1 is reservoir) split into training, validation, and test sets, in png format. - images.zip: Contains Landsat 8 images in tif format split into training, validation, and test sets with the following bands: Blue Green Red Near-infrared Shortwave Infrared 1 Shortwave Infrared 2