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Data · collection · 2023

East Africa Agricultural Field Centers

Listed in NASA Earthdata CMR

Georeferenced crop yield prediction is a valuable tool for agronomists and policymakers.

Description

One challenge with many existing datasets is that of location accuracy. GPS locations for fields can end up offset from the true location due to sensor inaccuracies or from locations being collected at the edges of fields rather than the field centers.

This makes it harder to connect remote-sensed data to the yield values. The goal of this project was to produce a method that can help correct these location offsets by finding the most probable field center given an input location.

Links

Topics

Stated by source
PlanetScope · Vector Labels
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC2781412176-MLHUB15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[field].anzsrc:field:300206enrichment · NASA CMRtaxonomy-embedding@1.1.0title+keywords+description (76%)
concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/vector-labelssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:planetscopesource · 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