Evidence map›Paper›PMID 33758459›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

To What Extend Does the Eddy Covariance Footprint Cutoff Influence the Estimation of Surface Energy Fluxes Using Two Source Energy Balance Model and High-Resolution Imagery in Commercial Vineyards?

Ayman Nassar, Alfonso Torres-Rua, William Kustas, Hector Nieto, Mac McKee, Lawrence Hipps, Joseph Alfieri, John Prueger, Maria Mar Alsina, Lynn McKee and 3 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. 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
1.6field-weighted citation impact, top 15% of its field
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, 8 citations in OpenAlex.

  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

13 authors at 5 institutions in 2 countries.

Ayman NassarDepartment of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, USA.
Alfonso Torres-RuaDepartment of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, USA.
William KustasU. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA.
Hector NietoComplutum Tecnologías de la Información Geográfica (COMPLUTIG), Madrid, Spain.
Mac McKeeDepartment of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, USA.
Lawrence HippsPlants, Soils and Climate Department, Utah State University, Logan, UT 84322, USA.
Joseph AlfieriU. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA.
John PruegerU. S. Department of Agriculture, Agricultural Research Service, National Laboratory for Agriculture and the Environment, Ames, IA 50011, USA.
Maria Mar AlsinaE & J Gallo Winery Viticulture Research, Modesto, CA 95354, USA.
Lynn McKeeU. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA.
Calvin CoopmansDepartment of Electrical Engineering, Utah State University, Logan, UT 84322, USA.
Luis SanchezE & J Gallo Winery Viticulture Research, Modesto, CA 95354, USA.
Nick DokoozlianE & J Gallo Winery Viticulture Research, Modesto, CA 95354, USA.
Utah State University · USErnest Gallo Clinic and Research Center · USUnited States Department of Agriculture · USAgricultural Research Service · USCentro Nacional de Información Geográfica · ES

Funding

NASA NNX17AF51G
6 · The paper itself

Abstract

Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (u

Indexed as

eddy covariance (EC)energy fluxesfootprint cutofffootprint / source areaKljun EC footprint modellatent heat flux (LE)spatial analysisTSEB2T model

Identifiers

PMID33758459
PMCPMC7982303
OpenAlexW3018814713

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.