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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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 |
work_keys_str_mv |
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