Home ›
Entities
› academia
› Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS
Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS
Research article (Remote Sensing of Environment, 2015) · cited 36× · AI/ML
Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS
Summary
Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS is a scholarly article[1].
Key Facts
Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS'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). Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS. Retrieved May 24, 2026, from https://4ort.xyz/entity/creating-consistent-datasets-by-combining-remotely-sensed-data-and-land-surface-model-estimates-through-bayesian-uncerta
MLA“Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/creating-consistent-datasets-by-combining-remotely-sensed-data-and-land-surface-model-estimates-through-bayesian-uncerta.
BibTeX@misc{4ortxyz_creating-consistent-datasets-by-combining-remotely-sensed-data-and-land-surface-model-estimates-through-bayesian-uncerta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS}}, year = {2026}, url = {https://4ort.xyz/entity/creating-consistent-datasets-by-combining-remotely-sensed-data-and-land-surface-model-estimates-through-bayesian-uncerta}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Creating consistent datasets by combining remotely-sensed data and land surface model estimates through Bayesian uncertainty post-processing: The case of Land Surface Temperature from HIRS — https://4ort.xyz/entity/creating-consistent-datasets-by-combining-remotely-sensed-data-and-land-surface-model-estimates-through-bayesian-uncerta (retrieved 2026-05-24)
