02222nab a2200277 i 4500003000900000005001700009008004100026040001800067072000800085072000800093100004600101100003600147100003000183100003100213245013000244500007000374520114200444650002501586650001201611650001101623650001201634773019001646856008101836942000801917999001901925BR-BrBNA20260407052643.0260407b2019    bl.qr|pooa||| 00| 0 eng |  aBR-BrBNAbeng  aK10  aU40  aSilveira, Eduarda Martiniano de Oliveira   aAcerbi Júnior, Fausto Weimar   aSilva, Sérgio Teixeira   aMello, José Márcio de   aAnthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas  aPublicação on-line; 49 ref.; 3 tables; 7 illus.; Summary (En)  a

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.  aSENSORIAMENTO REMOTO  aMADEIRA  aVOLUME  aCERRADO0 029299347952dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994o2025-0451tFloresta e Ambiente (Brazil)x1415-0980  /  ISSN 2179-8087 0nlinegv. 26(3) p. 1-13; (2019)wBR2026000295  uhttps://www.scielo.br/j/floram/a/WsKrzZDmTttYrxdt9HLm9sF/?format=pdf&lang=en  cANA  c341258d341258