datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
geospatialLandslide4sense
Landslide4Sense
Dataset Description
This dataset is originally introduced in GitHub repo Landslide4Sense-2022.
The Landslide4Sense dataset has three splits, training/validation/test, consisting of 3799, 245, and 800 image patches, respectively. Each image patch is a composite of 14 bands that include:
Multispectral data from Sentinel-2: B1, B2, B3, B4, B5, B6, B7, B8, B9, B10, B11, B12.
Slope data from ALOS PALSAR: B13.
Digital elevation model (DEM) from ALOS… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/Landslide4sense.hls_burn_scarsThis dataset contains Harmonized Landsat and Sentinel-2 imagery of burn scars and the associated masks for the years 2018-2021 over the contiguous United States. There are 804 512x512 scenes. Its primary purpose is for training geospatial machine learning models.CoordBench
CoordBench
A unified benchmark suite for evaluating location encoders such as SatCLIP, GeoCLIP, Climplicit, and MIND.
The dataset contains 40 normalized source tables from 13 source families. The paper's evaluation suite
uses 52 datasets and 78 prediction targets drawn from this mirror. The source files previously lived across GitHub,
figshare, GCS, Socrata, Zenodo, and Google Drive.
Intended use
Use the normalized tables to compare coordinate-to-embedding models.… See the full description on the dataset page: https://huggingface.co/datasets/taylor-geospatial/CoordBench.hurricane
Data Format Description for Hurricane Evaluation on Prithvi WxC
Overview
To evaluate the performance of Prithvi WxC on hurricanes, the surface and pressure data from the MERRA-2 dataset, comprising 160 variables used in training, is required. The complete evaluation dataset includes 75 different initial conditions for hurricanes that formed in the Atlantic Ocean between 2017 and 2023.
The scientific objective is to assess the zero-shot performance of Prithvi WxC in… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hurricane.hls_merra2_gppFlux
Dataset Summary:
This dataset consists of Harmonized Landsat and Sentinel-2 multispectral reflectance imagery and MERRA-2 observations centered around eddy covariance flux towers and the corresponding Gross Primary Productivity (GPP) data at the towers. Its purpose is to serve as a finetuning dataset for geospatial foundation models for the task of regressing GPP flux observations from HLS and MERRA-2 data.
Dataset Structure:
The dataset consists of:
(1) HLS 6-band Tiff… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/hls_merra2_gppFlux.hierarchical-geospatial-reasoningshrishtiai-geospatial-databurn_intensity
Dataset Summary
This dataset contains burn scar intensity data and Harmonized Landsat and Sentinel-2 (HLS) images for burn scar analysis across various time frames: pre-burn, during-burn, and post-burn.
Each file provides spatial information on burn scar intensity and top-of-atmosphere (TOA) reflectance values.
The dataset includes:
BS_files_raw.csv: The complete set of burn scar intensity data without filtering.
BS_files_with_less_than_25_percent_zeros.csv: Filtered dataset with… See the full description on the dataset page: https://huggingface.co/datasets/ibm-nasa-geospatial/burn_intensity.neural-earth-fields-hackathon
Neural Earth Fields Hackathon
Land cover
CGLC-MODIS-LCZ-100m.cog.tif is a Cloud Optimized GeoTIFF version of A hybrid 100-m global land cover dataset with Local Climate Zones for WRF by Matthias Demuzere, Cenlin He, Alberto Martilli, and Andrea Zonato (2023).
The source dataset is licensed under CC BY 4.0.
The file contains one uint8 class ID per pixel on the source's nominal 100 m EPSG:4326 grid.
It uses ZSTD compression, 512 × 512 tiles, and mode-resampled… See the full description on the dataset page: https://huggingface.co/datasets/taylor-geospatial/neural-earth-fields-hackathon.Examples
Data Examples
This repository incudes samples for TerraMind demos at https://github.com/IBM/terramind.
geospatialgeospatial_datageospatialgeospatial_data1geospatial