Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
Material type:
ArticleSubject(s): Online resources:
In:
Floresta e Ambiente (Brazil) v. 26(3) p. 1-13; (2019)Summary:
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.
Keywords: remote sensing, stratification, modeling, wood volume, aboveground biomass.
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Periódicos
|
Biblioteca Nacional de Agricultura - Binagri Agrobase - Periódicos | Periódicos agrícolas | 2019 26(3) | Online | 2025-0451 |
Publicação on-line; 49 ref.; 3 tables; 7 illus.; Summary (En)
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.
Keywords: remote sensing, stratification, modeling, wood volume, aboveground biomass.
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