Evidence map›Paper›PMID 37821473›Full record

ArticleScientific data2023

HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data.

Khuong H Tran, Xiaoyang Zhang, Yongchang Ye, Yu Shen, Shuai Gao, Yuxia Liu, Andrew Richardson

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Khuong H TranGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA.ORCID http://orcid.org/0000-0001-9738-6832
Xiaoyang ZhangGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA. xiaoyang.zhang@sdstate.edu.ORCID http://orcid.org/0000-0001-8456-0547
Yongchang YeGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA.
Yu ShenGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA.
Shuai GaoGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA.
Yuxia LiuGeospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University, Brookings, SD, 57007, USA.ORCID http://orcid.org/0000-0001-6130-2991
Andrew RichardsonSchool of Informatics, Computing, and Cyber Security, Northern Arizona University, Flagstaff, AZ, 86011, USA.

Funding

National Aeronautics and Space Administration (NASA) 80NSSC20K1337National Aeronautics and Space Administration (NASA) 80NSSC21K1962
6 · The paper itself

Abstract

Land surface phenology (LSP) products are currently of large uncertainties due to cloud contaminations and other impacts in temporal satellite observations and they have been poorly validated because of the lack of spatially comparable ground measurements. This study provided a reference dataset of gap-free time series and phenological dates by fusing the Harmonized Landsat 8 and Sentinel-2 (HLS) observations with near-surface PhenoCam time series for 78 regions of 10 × 10 km

Identifiers

PMID37821473
PMCPMC10567776

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.