Home ›
Entities
› academia
› Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint
Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint
Research article (Frontiers in Remote Sensing, 2022) · cited 14× · AI/ML
Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint
Summary
Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint is a scholarly article[1].
Key Facts
Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-for-timely-estimates-of-ocean-color-information-from-hyperspectral-satellite-measurements-in-the-
MLA“Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-for-timely-estimates-of-ocean-color-information-from-hyperspectral-satellite-measurements-in-the-.
BibTeX@misc{4ortxyz_using-machine-learning-for-timely-estimates-of-ocean-color-information-from-hyperspectral-satellite-measurements-in-the-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-for-timely-estimates-of-ocean-color-information-from-hyperspectral-satellite-measurements-in-the-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Machine Learning for Timely Estimates of Ocean Color Information From Hyperspectral Satellite Measurements in the Presence of Clouds, Aerosols, and Sunglint — https://4ort.xyz/entity/using-machine-learning-for-timely-estimates-of-ocean-color-information-from-hyperspectral-satellite-measurements-in-the- (retrieved 2026-05-24)