Evidence map›Paper›PMID 36081451›Full record

ArticleRemote sensing2021

Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer.

Miguel Morata, Bastian Siegmann, Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, Jochem Verrelst

Abstract read
In one paragraph

Article in Remote sensing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty.IEEE journal of selected topics in applied earth observations and remote sensing · 2023
    Article
  3. Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas.ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) · 2022
    Article
  4. Article
  5. 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

5 authors.

Miguel MorataImage Processing Laboratory (IPL), Parc Científic, Universitat de València, 46980 Paterna, Spain.ORCID https://orcid.org/0000-0002-0537-6803
Bastian SiegmannInstitute of Bio- and Geosciences, Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany.ORCID https://orcid.org/0000-0002-1232-7102
Pablo Morcillo-PallarésImage Processing Laboratory (IPL), Parc Científic, Universitat de València, 46980 Paterna, Spain.ORCID https://orcid.org/0000-0002-0970-9492
Juan Pablo Rivera-CaicedoCONACyT-UAN, Secretaría de Investigación y Posgrado, Universidad Autónoma de Nayarit, Ciudad de la Cultura Amado Nervo, Tepic 63155, Mexico.ORCID https://orcid.org/0000-0003-3188-1448
Jochem VerrelstImage Processing Laboratory (IPL), Parc Científic, Universitat de València, 46980 Paterna, Spain.ORCID https://orcid.org/0000-0002-6313-2081

Funding

European Research Council 755617
6 · The paper itself

Abstract

The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e.,

Indexed as

emulationmachine learningprincipal component analysissifspectral fitting method (sfm)sun-induced fluorescence

Identifiers

PMID36081451
PMCPMC7613348

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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.