satellite
agriculture
arc
attribution benchmark
building footprints
cloud
crop type
drone
era5
field boundary
flood detection
goes
image classification
land cover
landsat 8
live fuel moisture
marine debris
maxar
naip
nlcd
object detection
off-nadir
perspective images
planetscope
regression
road network
sar
segmentation
sentinel-1
sentinel-2
synthetic data
tamsat
tropical storm
wildfire
worldview-2
worldview-3
xai
CSU Synthetic Attribution Benchmark Dataset
This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate read more...
attribution benchmark
regression
synthetic data
xai
Eyes on the Ground Image Data
The 'Eyes on the Ground' project (lacunafund.org) is a collaboration between ACRE Africa, the International Food Policy Research Institute (IFPRI), and the Lacuna Fund, to create a large machine learning (ML) dataset of smallholder farmer's fields based upon previous work within the Picture Based Insurance framework (Ceballos, Kramer and read more...
arc
crop type
era5
perspective images
regression
sentinel-2
tamsat
Tropical Cyclone Wind Estimation Competition
A collection of tropical storms in the Atlantic and East Pacific Oceans from 2000 to 2019 with corresponding maximum sustained surface wind speed. This dataset is split into training and test categories for the purpose of a competition [Read more about the read more...
goes
regression
tropical storm
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