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Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification

IEEE Transactions on Geoscience and Remote Sensing(2025)10.1109/tgrs.2025.3643985Source: DataRank Database

Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification is a research paper published in IEEE Transactions on Geoscience and Remote Sensing (2025). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

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Open Access11 citations

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Linked data & code

Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 6.38)OA: greenTopics (19)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (3)

Siqin Wang ORCID,Lu Zhang ORCID,Shengjie Liu ORCID

Live enrichment

PubMed:41496875 PMC:PMC12768511 OpenAlex:https://openalex.org/W4407806811

NIH

Grant: P20HL176204

NIEHS NIH HHS

Grant: P30 ES007048

USC Dana and David Dornsife College of Letters, Arts and Sciences/Graduate School Fellowship at the University of Southern California

FWCI

6.38

Citation Percentile

1.0%

Citation Trend

2025

2026

green

repositoryhttps://arxiv.org/pdf/2502.14433

repositoryhttp://arxiv.org/abs/2502.14433

journalhttps://doi.org/10.1109/tgrs.2025.3643985

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41496875

Fields of Study

Climate change and permafrostCryospheric studies and observationsUrban Heat Island Mitigation

Keywords

Track (disk drive)Remote sensingEnvironmental scienceEnsemble learningDeep learningComputer scienceMeteorologyArtificial intelligenceGeographyReconstructionLandsatGaussian ProcessesLand Surface TemperatureUncertainty QuantificationDeep Ensemble LearningAnnual Temperature Cycle

Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification

10.48550/arxiv.2502.14433arXiv