02548naa a2200469 a 450000100080000000500110000800800410001902000220006002400510008210000260013324501360015926000090029530000120030452010090031665000160132565000160134165000240135765000190138165000280140065000280142865000160145665000100147265000330148265000180151565000250153365300270155865300230158565300290160865300280163765300250166565300190169065300260170965300240173565300210175970000200178070000160180070000200181670000200183670000270185670000230188377301720190621560422023-08-22       2023    bl uuuu     u00u1 u    #d  a978-65-258-1530-57 ahttps://doi.org/10.22533/at.ed.30523020812DOI1 aBRITO FILHO, A. L. de  aComparison between active and passive optics sensors to monitor spectral behavior during rice growth stages.h[electronic resource]  c2023  ap. 1-9.  aThe use of existing technologies within the science of remote sensing has increasingly contributed to the development of agriculture. Thus, our objective with this research was to compare performance to quality read between active and passive optics sensors are considerably greater to monitor spectral behavior of rice at different dates during their growth stages. This project will present correlations between active optical sensors with Sentinel 2 (S-2) satellite spectral bands. The vegetation indices to be used were: NDVI and CIRE. All the data simple linear regression and Pearson correlations were performed to compare active and passive sensors (satellite imageries data) with active crop canopy sensor technology. The averaged data were used along rice phenology to illustrate the dynamic of both sensors during the entire rice season. The active sensor presented better results than the passive sensor due to its being more stable for data collection under some different weather conditions.  aAgriculture  aEnvironment  aRegression analysis  aRemote sensing  aSustainable agriculture  aSustainable development  aAgricultura  aArroz  aDesenvolvimento Sustentável  aMeio Ambiente  aSensoriamento Remoto  aAnálise de regressão  aArroz de Louisiana  aCorrelação de Pearsons  aEmissão de saturação  aImagens de satélite  aLouisiana rice  aPearsons correlations  aSatellite imageries  aSaturation issue1 aCARNEIRO, F. M.1 aRONTANI, F.1 aSILVA, R. P. da1 aBRANDÃO, Z. N.1 aSILVA JUNIOR, C. A. da1 aSHIRATSUCHI, L. S.  tIn: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 1.