Radiant MLHub
agriculture
arc
attribution benchmark
building footprints
cloud
crop type
drone
era5
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

Cloud to Street - Microsoft flood dataset

The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, read more...
cloud
flood detection
sar
segmentation
sentinel-1
sentinel-2

Sentinel-2 Cloud Cover Segmentation Dataset

In many uses of multispectral satellite imagery, clouds obscure what we really care about - for example, tracking wildfires, mapping deforestation, or monitoring crop health. Being able to more accurately remove clouds from satellite images filters out interference, unlocking the potential of a vast range of use cases. With read more...
cloud
segmentation
sentinel-2

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