Evidence map›Paper›PMID 38360806›Full record

ArticleScientific data2024

Transitioning from MODIS to VIIRS Global Water Reservoir Product.

Deep Shah, Shuai Zhang, Sudipta Sarkar, Carol Davidson, Rui Zhang, Maosheng Zhao, Sadashiva Devadiga, Praveen Noojipady, Miguel O Román, Huilin Gao

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Deep ShahZachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA.ORCID http://orcid.org/0000-0001-8461-4162
Shuai ZhangZachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA.
Sudipta SarkarScience Systems and Applications Inc., Lanham, MD, USA.
Carol DavidsonScience Systems and Applications Inc., Lanham, MD, USA.
Rui ZhangTerrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Maosheng ZhaoScience Systems and Applications Inc., Lanham, MD, USA.
Sadashiva DevadigaTerrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA.
Praveen NoojipadyScience Systems and Applications Inc., Lanham, MD, USA.
Miguel O RománLeidos, Inc., Reston, VA, USA.ORCID http://orcid.org/0000-0003-3953-319X
Huilin GaoZachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA. hgao@civil.tamu.edu.ORCID http://orcid.org/0000-0001-7009-8005

Funding

National Aeronautics and Space Administration (NASA) 80NSSC18K0939National Aeronautics and Space Administration (NASA) 80NSSC22K0586National Aeronautics and Space Administration (NASA) 80NSSC22K1552
6 · The paper itself

Abstract

Reservoirs play a crucial role in regulating water availability and enhancing water security. Here, we develop NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) based Global Water Reservoir (GWR) product, consisting of measurements of reservoir area, elevation, storage, evaporation rate, and evaporation loss for 164 large global reservoirs. The dataset is available at 8-day and monthly temporal resolutions. Since the Moderate Resolution Imaging Spectroradiometer (MODIS) is close to the end of its life, we further evaluated the consistency between MODIS and VIIRS-based GWR to ensure continuity to the 20+ year MODIS GWR product. Independent assessment of VIIRS reservoir storage (8-day) retrievals against in-situ measurements shows an average of R

Identifiers

PMID38360806
PMCPMC10869837

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Registered trials

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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.