Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas

ABSTRACT According to previous studies involving biometric variables modeling using remote sensing (RS), data did not consider the effects of anthropogenic disturbance as relevant factor. The main objective of this study was to model aboveground biomass (AGB) and total wood volume (TWV) of Brazilian...

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Main Authors: Eduarda Martiniano de Oliveira Silveira, Fausto Weimar Acerbi Júnior, Sérgio Teixeira Silva, José Márcio de Mello
Format: Article
Language:English
Published: Universidade Federal Rural do Rio de Janeiro
Series:Floresta e Ambiente
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300138&lng=en&tlng=en
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spelling doaj-82fdcc1c50bb4e11bb6ce9ebb5a141b62020-11-24T21:50:46ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-808726310.1590/2179-8087.033818S2179-80872019000300138Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian SavannasEduarda Martiniano de Oliveira SilveiraFausto Weimar Acerbi JúniorSérgio Teixeira SilvaJosé Márcio de MelloABSTRACT According to previous studies involving biometric variables modeling using remote sensing (RS), data did not consider the effects of anthropogenic disturbance as relevant factor. The main objective of this study was to model aboveground biomass (AGB) and total wood volume (TWV) of Brazilian Savanna biome using vegetation indices (VI) from LANDSAT 5 TM. Multiple linear regression (MLR) and random forest (RF) algorithm were applied across 641 field plots of cerrado sensu stricto of the state of Minas Gerais, Brazil, comparing two models: non-stratified, and stratified according to plot’s anthropization degree. AGB and TWV obtained from non-anthropized plots presented linear relation with VIs (R2 = 0.82 and 0.74, respectively) and, on the other hand, presented nonlinear relation when plots were affected by anthropogenic disturbances or were not stratified. This finding helps improving estimates by stratifying plots into their anthropization degree, mainly in the Brazilian Savanna biome undergoing anthropogenic disturbances.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300138&lng=en&tlng=enremote sensingstratificationmodelingwood volumeaboveground biomass
collection DOAJ
language English
format Article
sources DOAJ
author Eduarda Martiniano de Oliveira Silveira
Fausto Weimar Acerbi Júnior
Sérgio Teixeira Silva
José Márcio de Mello
spellingShingle Eduarda Martiniano de Oliveira Silveira
Fausto Weimar Acerbi Júnior
Sérgio Teixeira Silva
José Márcio de Mello
Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
Floresta e Ambiente
remote sensing
stratification
modeling
wood volume
aboveground biomass
author_facet Eduarda Martiniano de Oliveira Silveira
Fausto Weimar Acerbi Júnior
Sérgio Teixeira Silva
José Márcio de Mello
author_sort Eduarda Martiniano de Oliveira Silveira
title Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
title_short Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
title_full Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
title_fullStr Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
title_full_unstemmed Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
title_sort anthropogenic disturbances affect the relationship between spectral indices and the biometric variables of brazilian savannas
publisher Universidade Federal Rural do Rio de Janeiro
series Floresta e Ambiente
issn 2179-8087
description ABSTRACT According to previous studies involving biometric variables modeling using remote sensing (RS), data did not consider the effects of anthropogenic disturbance as relevant factor. The main objective of this study was to model aboveground biomass (AGB) and total wood volume (TWV) of Brazilian Savanna biome using vegetation indices (VI) from LANDSAT 5 TM. Multiple linear regression (MLR) and random forest (RF) algorithm were applied across 641 field plots of cerrado sensu stricto of the state of Minas Gerais, Brazil, comparing two models: non-stratified, and stratified according to plot’s anthropization degree. AGB and TWV obtained from non-anthropized plots presented linear relation with VIs (R2 = 0.82 and 0.74, respectively) and, on the other hand, presented nonlinear relation when plots were affected by anthropogenic disturbances or were not stratified. This finding helps improving estimates by stratifying plots into their anthropization degree, mainly in the Brazilian Savanna biome undergoing anthropogenic disturbances.
topic remote sensing
stratification
modeling
wood volume
aboveground biomass
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300138&lng=en&tlng=en
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