remote sensing change detection

Dataset Card for Multi-Temporal Crop Classification Dataset Summary This dataset contains temporal Harmonized Landsat-Sentinel imagery of diverse land cover and crop type classes across the Contiguous United States for the year 2022. The target labels are derived from USDA's Crop Data Layer (CDL). It's primary purpose is for training segmentation geospatial machine learning models. Dataset Structure TIFF Files Each tiff file covers a… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification.

TerraMesh A planetary‑scale, multimodal analysis‑ready dataset for Earth‑Observation foundation models: TerraMesh merges data from Sentinel‑1 SAR, Sentinel‑2 optical, Copernicus DEM, NDVI, and land‑cover sources into more than 9 million co‑registered patches ready for large‑scale representation learning. You find more information about the data sampling and preprocessing in our paper: TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. Samples from the TerraMesh… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/TerraMesh.

Dataset Card for Amfitrite-Inland-Waters-HAB-Sentinel2 This dataset contains multispectral Sentinel-2 satellite imagery tiles focused on inland water bodies, classified by the severity of Harmful Algal Blooms (HABs). It is designed to train Deep Learning models (like CNNs) for environmental monitoring. Dataset Details Dataset Description Amfitrite-Inland-Waters-HAB-Sentinel2 is a specialized dataset designed for the detection and classification of… See the full description on the dataset page: https://huggingface.co/datasets/kostaspic/amfitrite-inland-waters-hab-sentinel2.

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Dataset Card for Amfitrite-Open-Waters-HAB-Sentinel2 This dataset contains multispectral Sentinel-2 satellite imagery tiles focused on open water and coastal marine environments, classified by the potential presence of Harmful Algal Blooms (HABs). It is designed to train Machine or Deep Learning models (like CNNs) for large-scale environmental monitoring and ocean anomaly detection. Dataset Details Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/kostaspic/amfitrite-open-waters-hab-sentinel2.

Sentinel-2 LeJEPA Preset-Biased (Small) A small, preset-biased Sentinel-2 L2A chip dataset curated for self-supervised pretraining of a LeJEPA ResNet-18 encoder. Built as a reproducibility artifact for the Sentinel Change Explorer proof-of-concept foundation-model change-detection feature. This is a proof of concept, not a general-purpose EO pretraining corpus. It is intentionally tiny (~thousands of chips) and biased toward the five demo AOIs the Sentinel Change Explorer app… See the full description on the dataset page: https://huggingface.co/datasets/falafel-hockey/sentinel2-lejepa-global-diverse-256.