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Fuente, DavidAuthorOliver-Villanueva, Jose-VicenteAuthorColl-Aliaga, EloínaAuthorLerma-Arce, VictoriaAuthor

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October 11, 2024
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Biomass assessment and carbon sequestration in post-fire shrublands by means of Sentinel-2 and Gaussian processes

Publicated to: Forests. 13 (5): 1-13 - 2022-01-01 13(5), DOI: 10.3390/f13050771

Authors:

Vinué-Visús, David; Ruiz-Peinado, Ricardo; Fuente, David; Oliver Villanueva, José Vicente; Coll-Aliaga, Eloína; LERMA ARCE, VICTORIA
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Affiliations

Acad Sci Czech Republ, CZECHGLOBE Global Change Res Ctr, Drasov 66424, Czech Republic - Author
CSIC, Inst Nacl Invest & Tecnol Agroalimentaria INIA, Madrid 28040, Spain - Author
Univ Politecn Valencia, ITACA Res Inst, Valencia 46022, Spain - Author
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Abstract

In this contribution, we assessed the biomass and carbon stock of a post-fire area covered by a young oak coppice of Quercus pyrenaica Willd. associated with shrubs, mainly of Cistus laurifolius L. This area was burned during the fire event of Chequilla (Guadalajara, Spain) in 2012. Sentinel-2 imagery was used together with our own forest inventories in 2020 and machine learning methods to assess the total biomass of the area. The inventory includes plots of total dry weight ranging between 6 and 14 Mg center dot ha(-1) with individuals up to 8 years old. Nonlinear, nonparametric Gaussian process regression methods were applied to link reflectance values from Sentinel-2 imagery with total shrub biomass. With a reduced inventory of only 32 plots covering 136 ha, the total biomass could be assessed with a root-mean-square error of 1.36 Mg center dot ha(-1) and a bias of -0.04 Mg center dot ha(-1), getting a relative error between 9.8% and 20.4% for the gathered biomass. This is a rather good estimation considering the little effort and time invested; thus, the suggested methodology is very suitable for forest monitoring and management.
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Keywords

BiomassBiomass assessmentBoreaCarbonCarbon sequestrationCarbon stocksError analysisForestForest inventorForest inventoryForest managementForestryGaussian distributionGaussian methodGaussian noise (electronic)Gaussian process regressionGaussian processesMachine learningMean square errorMonitoring systemPost-fireReflectionRegression analysisRemote sensingRemote-sensingRetrievalSatellite imagerySentinelShrublandShrublandsTotal biomass

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Forests due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 17/69, thus managing to position itself as a Q1 (Primer Cuartil), in the category Forestry.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-03:

  • WoS: 2
  • Scopus: 2
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 25 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Czech Republic; United States of America.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Vinue-Visus, David) and Last Author (Lerma Arce, Victoria).

    the author responsible for correspondence tasks has been Vinue-Visus, David.

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    Awards linked to the item

    This research was funded by the Interreg SUDOE Program through the European Regional Development Fund (ERDF): Interreg SUDOE REMAS project (SOE3/P4/E0954) "Greenhouse gas emissions risk management in forest fires" (2019-2022).
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