Radiant MLHub
agriculture
attribution benchmark
building footprints
cloud
crop type
drone
flood detection
goes
image classification
land cover
landsat 8
live fuel moisture
marine debris
naip
nlcd
object detection
off-nadir
planetscope
regression
road network
sar
segmentation
sentinel-1
sentinel-2
synthetic data
tropical storm
wildfire
worldview-2
worldview-3
xai

Chesapeake Land Cover

This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research read more...
building footprints
land cover
landsat 8
naip
nlcd
segmentation

LandCoverNet Africa

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Africa contains data across Africa, which accounts for ~1/5 of the global dataset. Each pixel is identified as one of the seven land read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

LandCoverNet Asia

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Asia contains data across Asia, which accounts for ~31% of the global dataset. Each pixel is identified as one of the seven land read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

LandCoverNet Australia

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Australia contains data across Australia, which accounts for ~7% of the global dataset. Each pixel is identified as one of the seven land read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

LandCoverNet Europe

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet Europe contains data across Europe, which accounts for ~9.5% of the global dataset. Each pixel is identified as one of the seven land read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

LandCoverNet North America

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet North America contains data across North America, which accounts for ~13% of the global dataset. Each pixel is identified as one of the read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

LandCoverNet South America

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet South America contains data across South America, which accounts for ~13% of the global dataset. Each pixel is identified as one of the read more...
land cover
landsat 8
segmentation
sentinel-1
sentinel-2

Western USA Live Fuel Moisture

This data contains manually collected live fuel moisture measurements in the western United States and remotely-sensed variables. Live fuel moisture represents the mass of water in live vegetation elements like leaves, needles, and twigs divided by its oven-dried mass. It is represented in percentages. Higher the live fuel moisture, read more...
landsat 8
live fuel moisture
sar
sentinel-1
wildfire

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