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date: 2026-08-26T10:46:25
publisher: vivo
type: Document
label: RDF description of Modeling forest aboveground biomass using deterministic and stochastic techniques [Modelización de biomasa forestal aérea mediante técnicas deterministas y estocásticas] - http://orbis.uaslp.mx/vivo/individual/scopus5766

Madera Bosques
type: Document
publication venue for: Modeling forest aboveground biomass using deterministic and stochastic techniques [Modelización de biomasa forestal aérea mediante técnicas deterministas y estocásticas]
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type: Generically Dependent Continuant
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Article
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Modeling forest aboveground biomass using deterministic and stochastic techniques [Modelización de biomasa forestal aérea mediante técnicas deterministas y estocásticas]
volume: 25
origen: scopus
estado: published
related by: authorship_36631
doi: 10.21829/myb.2019.2511622
related by: authorship_36630
type: Article
most specific type: Article
e iscopus: 2-s2.0-85068562960
type: Entity
accesstype: All Open Access, Gold, Green
date time value: article date 5767
abstract: By estimating forest biomass, it is possible to determine the amount of forest resources existing in a given territory, however, this is an expensive and time-consuming process. Therefore, the objective of the present study was to model the aerial tree biomass of a forest ecosystem located in the south central region of the state of San Luis Potosí. To define this process, we compared deterministic methods (weighted reverse distance) and stochastic methods (kriging and cokriging), with which the forest biomass was determined based on field and spectral data. Field data corresponded to 50 conglomerates of the National Forest Inventory, from which the biomass was calculated by using allometric equations. The spectral data (traditional NDVI -red and infrared bands of electromagnetic spectrum) were derived from a Landsat 5TM image of the year 2009. With the results of calculation of biomass and NDVI, semivariograms and cross variograms were tested with spherical, exponential and gaussian models to analyze which will result in the best fit. Subsequently, the exponential model derived from the cokriging technique was selected, based on which a square root value of the RMSE mean squared error of 32.01 Mg ha-1 was obtained. Finally, based on the selected model, a map was generated of the aerial biomass distribution, in which results that range from the 0.85 Mg ha-1 to 157 Mg ha-1 are presented. © 2019, Instituto de Ecologia, A.C.. All rights reserved.
type: Document
type: Information Content Entity
has publication venue: Madera Bosques
type: Generically Dependent Continuant
type: Thing
related by: authorship_36625
related by: authorship_36627
type: Continuant
crisid: 5767
related by: authorship_36629
freetext keyword: Cokriging; Cross-correlation; Forest national inventory; Geostatistics; NDVI
related by: authorship_36626
artnum: e2511622
most specific type: Document
issue: 1
related by: authorship_36628

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