000			02268nab a2200289 i 4500
003			BR-BrBNA
005			20260407052643.0
008			260407b2019 bl.qr|pooa||| 00| 0 eng |
040			_aBR-BrBNA _beng
072			_aK10
072			_aU40
100			_aSilveira, Eduarda Martiniano de Oliveira
100			_aAcerbi Júnior, Fausto Weimar
100			_aSilva, Sérgio Teixeira
100			_aMello, José Márcio de
245			_aAnthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas
500			_aPublicação on-line; 49 ref.; 3 tables; 7 illus.; Summary (En)
520			_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.
650			_aSENSORIAMENTO REMOTO
650			_aMADEIRA
650			_aVOLUME
650			_aCERRADO
773	0		_02929 _9347952 _dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 _o2025-0451 _tFloresta e Ambiente (Brazil) _x1415-0980 / ISSN 2179-8087 0nline _gv. 26(3) p. 1-13; (2019) _wBR2026000295
856			_uhttps://www.scielo.br/j/floram/a/WsKrzZDmTttYrxdt9HLm9sF/?format=pdf&lang=en
942			_cANA
999			_c341258 _d341258