%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@resumeid 8JMKD3MGP5W/3C9JH4G
%@resumeid 8JMKD3MGP5W/3C9JHLF
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%@resumeid 8JMKD3MGP5W/3C9JHF4
%X Images from the Compact High Resolution Imaging Spectrometer (CHRIS), on board the space platform Project for On Board Autonomy (PROBA), were acquired in the Brazilian Amazon region in 62 bands (410-1050 nm) at different view angles. They were evaluated for angular variations in Bidirectional Reflectance Factor (BRF), selected vegetation and anisotropic indices, and their relationship with the Above Ground Biomass (AGB) of some forest successional stages using an empirical approach. Results showed that correlations between AGB and reflectance were influenced by the vegetation anisotropy, which was stronger in the visible than in the near-infrared. The anisotropy increased from the forward (-36°) to the backward (+55°) scattering direction, was greater in the blue and green bands and decreased towards the near-infrared. As a result of this behaviour, several narrow and traditional vegetation indices showed correlation coefficients (R) that varied with view angle. The backscattering-forward scattering contrast, represented by anisotropic indices such as the Normalized Difference Anisotropic Index (NADX) and the Hot spot-Dark spot Normalized Difference Vegetation Index (NDVITD), presented only a small improvement of the relationships with AGB when compared with the performance of the other traditional vegetation indices at nadir viewing.
%8 Oct.
%N 19
%T Impact of multi-angular CRIS/PROBA data on their empirical relationships with tropical biomass
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress jroberto@ltid.inpe.br
%@secondarytype PRE PI
%K CHRIS/PROBA, tropical forest, vegetation index, biomass.
%@archivingpolicy denypublisher denyfinaldraft12
%@usergroup administrator
%@usergroup lattes
%@usergroup marciana
%@group DSR-OBT-INPE-MCT-BR
%@group DSR-OBT-INPE-MCT-BR
%@group
%@group DSR-OBT-INPE-MCT-BR
%@e-mailaddress jroberto@ltid.inpe.br
%3 928126011.pdf
%@secondarykey INPE--PRE/
%@secondarymark B3_BIOTECNOLOGIA A1_CIÊNCIA_DA_COMPUTAÇÃO A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_GEOCIÊNCIAS A1_GEOGRAFIA A2_INTERDISCIPLINAR B1_ODONTOLOGIA A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_SAÚDE_COLETIVA
%F lattes: 1646956319628219 4 PonzoniGalvLiesSant:2010:ImMuCR
%@issn 0143-1161
%2 dpi.inpe.br/plutao/2010/11.11.16.17.57
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Faculty of Geosciences, Geotechnique and Mining, TU Bergakademie Freiberg, Freiberg, Germany
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B International Journal of Remote Sensing
%@versiontype publisher
%P 5257-5273
%4 dpi.inpe.br/plutao/2010/11.11.16.17
%@documentstage not transferred
%D 2010
%V 31
%@doi 10.1080/01431160903303005
%O Setores de Atividade: Produção Florestal.
%A Ponzoni, Flávio Jorge,
%A Galvão, Lênio Soares,
%A Liesenberg, V.,
%A Santos, Joao Roberto dos,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area SRE