Relações empíricas entre características dendrométricas da Caatinga brasileira e dados TM Landsat 5

Almeida, André Quintão de; Mello, Anabel Aparecida de; Neto, Antônio Luiz Dória; Ferraz, Raphael Cavalcanti

doi:10.1590/s0100-204x2014000400009

Cited by 23 publications

(14 citation statements)

References 24 publications

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“…Thus, variations in the correlation values between vegetation indices and field variables can be a result of the spatial resolution of the images used or, according to Ponzoni (2001), the effect of the atmosphere and the soil must also be considered. Almeida et al (2014) used Landsat 5 TM images in the "Caatinga" area and verified that the variable basal area (m².ha -1 ) had no significant correlation with any variable derived from remote sensing. Reis et al (2018) used the vegetation indices MSAVI and NDVI to predict volume and observed a good correlation between these indices and the volume variable (NDVI = 0.49 and MSAVI = 0.45).…”

Section: Model Equationmentioning

confidence: 89%

Use of aerial image in the estimation of volume and biomass of Eucalyptus sp. forest stand

et al. 2020

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Assessing forest stands is crucial for managing and planning the use of these resources. Forest inventory is the instrument that provides information about the stand situation, which can be costly and time consuming. In order to facilitate and reduce the time spent obtaining these data, the main objective of this work was to evaluate the accuracy of volume and biomass estimates per unit area with data from remote sensing. Forty sample units were allocated and georeferenced, in which all trees with diameter at breast height (DBH) ≥ 5 cm were inventoried. Sequentially, the cubage was performed in order to obtain individual biomass, volume, and adjustment of the individual models. With data from georeferenced images of the study area, the vegetation indices MSAVI (Modified Soil-Adjusted Vegetation Index) and NDVI (Normalized Difference Vegetation Index) were obtained. The volume and biomass estimation using remote sensing variables were carried out through the adjustment of sigmoidal models by regression analysis, which used a combination of the average values of the vegetation indices and the basal area of the plot/hectares as an independent variable. The fit statistics and the accuracy of the tested models presented consistent results to estimate forest production. The results showwd that indices derived from remote sensing techniques associated with forest variables information could accurately estimate the volume and biomass of Eucalyptus spp. plantations.

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Section: Model Equationmentioning

confidence: 89%

Use of aerial image in the estimation of volume and biomass of Eucalyptus sp. forest stand

et al. 2020

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“…A possible alternative to integrate biomass estimates based on forest inventory measurements would be the use of satellite images or even LiDAR technology (Estornell et al 2011, 2012, Almeida et al 2014). Biomass models considering genus, families, successional groups, climatic variables and specific density of wood should be adjusted, tested at both local and regional levels, as well as on tropics scales with dry forest dominance.…”

Section: Discussionmentioning

confidence: 99%

Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Lima

Alves

Oliveira

et al. 2017

An. Acad. Bras. Ciênc.

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Dry tropical forests are a key component in the global carbon cycle and their biomass estimates depend almost exclusively of fitted equations for multi-species or individual species data. Therefore, a systematic evaluation of statistical models through validation of estimates of aboveground biomass stocks is justifiable. In this study was analyzed the capacity of generic and specific equations obtained from different locations in Mexico and Brazil, to estimate aboveground biomass at multi-species levels and for four different species. Generic equations developed in Mexico and Brazil performed better in estimating tree biomass for multi-species data. For Poincianella bracteosa and Mimosa ophthalmocentra, only the Sampaio and Silva (2005) generic equation was the most recommended. These equations indicate lower tendency and lower bias, and biomass estimates for these equations are similar. For the species Mimosa tenuiflora, Aspidosperma pyrifolium and for the genus Croton the specific regional equations are more recommended, although the generic equation of Sampaio and Silva (2005) is not discarded for biomass estimates. Models considering gender, families, successional groups, climatic variables and wood specific gravity should be adjusted, tested and the resulting equations should be validated at both local and regional levels as well as on the scales of tropics with dry forest dominance.

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“…O volume total sem casca das árvores foi obtido por meio de fator de forma 0,90 (Almeida et al, 2014), usualmente utilizado na região de estudo.…”

Section: Methodsunclassified

Estoques de volume, biomassa e carbono na madeira de espécies da Caatinga em Caicó, RN

et al. 2016

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O objetivo deste estudo foi quantificar os estoques em volume, biomassa e carbono na madeira de um fragmento de Caatinga Arbustiva-Arbórea, na região Nordeste do Brasil, no Município de Caicó, RN. Realizou-se o inventário e a amostragem do material biológico para análises de biomassa e carbono. Para a conversão de volume de madeira em biomassa foi obtida a densidade básica da madeira de oito espécies que representavam 91% do valor de importância (VI) do fragmento. A porcentagem de carbono dessas espécies foi determinada por análise elementar da madeira. O estoque de carbono foi determinado considerando-se a porcentagem de carbono multiplicada pela biomassa de cada árvore. Para as espécies que não foram analisadas (9% do VI) utilizou-se um valor de densidade básica média () e da média de carbono (), ponderados pelo valor de importância das espécies amostradas. Foi observado um estoque volumétrico de madeira igual a 15,5 m³ ha-1. A biomassa determinada foi de 12 t ha-1, que correspondeu a um estoque de carbono de 5,7 t ha-1.

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Relações empíricas entre características dendrométricas da Caatinga brasileira e dados TM Landsat 5

Cited by 23 publications

References 24 publications

Use of aerial image in the estimation of volume and biomass of Eucalyptus sp. forest stand

Use of aerial image in the estimation of volume and biomass of Eucalyptus sp. forest stand

Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Estoques de volume, biomassa e carbono na madeira de espécies da Caatinga em Caicó, RN

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