Título:	SCAI-r: an algorithm for obtaining synoptic and spatial atmospheric parameters.
Autor:	VICENTE, L. E. LOEBMANN, D. G. dos S. W. PAZIANOTTO, R. A. A. FAGGIONI, M. GOMES, A. C. C.
Afiliación:	LUIZ EDUARDO VICENTE, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; MIGUEL FAGGIONI, UNICAMP; ANA CAROLINA CAMPOS GOMES.
Año:	2019
Referencia:	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Ref. 96399.
Páginas:	p. 1-4.
Descripción:	Abstract: The highest performance of multiband optical data (Visible - VIS ? Shortwave Infrared - SWIR ? (400-2500 nm) (e.g. imaging spectroscopy approaches) can be reached mainly through atmospheric correction effects; the conversion of the image values to surface reflectance, allowing, for instance, to estimate the amount of biochemical compounds in the target. This work aims to present an algorithm dedicated to atmospheric parameters obtaining from MODIS and related sensors, encapsulated in a user-friendly interface through Software to Collect Atmospheric Information (SCAI-r), applied to the correction of atmosphere effects on Rapideye image. The results show that SCAI-r generates information needed to perform atmospheric correction and that it has a greater influence over water-related objects, when compared to parameters randomly inserted as input data in atmospheric correction algorithms.
Thesagro:	Sensoriamento Remoto Satélite
NAL Thesaurus:	Remote sensing Radiative transfer
Palabras clave:	Atmospheric Correction RapidEye Visibility Aerosol Optical Thickness Radiative Transfer Model
ISBN:	978-85-17-00097-3
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPMA)