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Data · collection · 2023

South Africa Crop Type Competition

Listed in NASA Earthdata CMR

Description

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 satellites.

Links

Where it is published

Catalogue records · 2

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 15 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC2781412651-MLHUB9 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/raster-labelssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[modality].local:modality:imageenrichment · NASA CMRkeyword-concept-rules@1.0.0title+description (65%)
concepts[platform].gcmd_platform:sentinel-1asource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:sentinel-1bsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:sentinel-2asource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:sentinel-2bsource · NASA CMRconnector:nasa_cmr@1.0.0
created_datesource · NASA CMRconnector:nasa_cmr@1.0.0
descriptionsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/Abstract
license_textsource · NASA CMRconnector:nasa_cmr@1.0.0
publication_datesource · NASA CMRconnector:nasa_cmr@1.0.0
spatialsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/SpatialExtent
temporalsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/TemporalExtents
titlesource · NASA CMRconnector:nasa_cmr@1.0.0/umm/EntryTitle
version_labelsource · NASA CMRconnector:nasa_cmr@1.0.0