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Text · dataset · 2025

Learning to Improve Earth Observation Flight Planning

Listed in NASA Data Portal

This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science investigations.

Description

Data mining identifies discrepancies between previous observations and predictions made by Earth science models. Locations of these discrepancies become interesting targets for future observations.

Such targets become goals used by a flight planner to generate the observation activities. The cycle of observation, data analysis and planning is repeated continuously throughout a multi-week Earth science investigation.

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Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NASA Data Portalbddb40e2-f05b-48c8-bd5d-a8474a7ab3a211 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370403enrichment · data nasa govtaxonomy-embedding@1.1.0title+keywords+description (79%)
concepts[modality].local:modality:remote-sensingenrichment · data nasa govkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · data nasa govconnector:data_nasa_gov@1.0.0
descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · data nasa govconnector:data_nasa_gov@1.0.0
titlesource · data nasa govconnector:data_nasa_gov@1.0.0/title
updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0