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

A Fusion Dataset for Crop Type Classification in Germany

A Fusion Dataset for Crop Type Classification in Germany
This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany. There are nine crop types in this dataset from years 2018 and 2019: Wheat, Rye, Barley, Oats, Corn, Oil Seeds, Root Crops, read more...
agriculture
crop type
planetscope
sar
segmentation
sentinel-1
sentinel-2

A Fusion Dataset for Crop Type Classification in Western Cape, South Africa

A Fusion Dataset for Crop Type Classification in Western Cape, South Africa
This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Western Cape, South Africa. There are five crop types from the year 2017: Wheat, Barely, Canola, Lucerne/Medics, Small grain grazing. The AOI is split read more...
agriculture
crop type
planetscope
sar
segmentation
sentinel-1
sentinel-2

Semantic Segmentation of Crop Type in Ghana

Semantic Segmentation of Crop Type in Ghana
Automatic, accurate crop type maps can provide unprecedented information for understanding food systems, especially in developing countries where ground surveys are infrequent. However, little work has applied existing methods to these data scarce environments, which also have unique challenges of irregularly shaped fields, frequent cloud coverage, small plots, and read more...
agriculture
crop type
planetscope
sar
segmentation
sentinel-1
sentinel-2

Semantic Segmentation of Crop Type in South Sudan

Semantic Segmentation of Crop Type in South Sudan
Automatic, accurate crop type maps can provide unprecedented information for understanding food systems, especially in developing countries where ground surveys are infrequent. However, little work has applied existing methods to these data scarce environments, which also have unique challenges of irregularly shaped fields, frequent cloud coverage, small plots, and read more...
agriculture
crop type
planetscope
sar
segmentation
sentinel-1
sentinel-2

SEN12-FLOOD : A SAR and Multispectral Dataset for Flood Detection

SEN12-FLOOD : A SAR and Multispectral Dataset for Flood Detection
These last decades, Earth Observation brought quantities of new perspectives from geosciences to human activity monitoring. As more data became available, artificial intelligence techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for read more...
flood detection
image classification
sar
sentinel-1
sentinel-2

South Africa Crop Type Competition

South Africa Crop Type Competition
This dataset was produced as part of the Radiant Earth Spot the Crop Challenge. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 and Sentinel-1 read more...
agriculture
crop type
segmentation
sentinel-1
sentinel-2

Western USA Live Fuel Moisture

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