Satellite images or optical sensors in general are provided largely in raw format (Digital Numbers - DN), which makes it impossible to use all of their informational capacity. This occurs due to the need to convert the data to physical quantities (radiance, surface reflectance), as well as the elimination of spurious effects of the atmosphere (eg presence of aerosols, water vapor) through atmospheric correction, allowing the application of high-level classification / validation aimed not only at qualifying targets in images, but also semi-quantifying physical-chemical compounds (eg minerals, chlorophyll). In addition, it allows the combined use of laboratory and field data applied to images, the so-called spectral libraries, derived from measurements using spectroradiometers. One of the main challenges for the processes described above is to obtain atmospheric parameters as inputs in atmospheric simulation models, such as the Radiative Transfer Model, able to perform the correction procedures. In this sense, SCAI_R consults atmospheric data generating systems, mainly from NASA, using the MODIS sensor of the Terra and Aqua platforms, calculating synoptic and spatial climatic parameters for the entire national territory, through consultations using location (based on raw data). lat / long), tables, maps, circumscribed to date (database since 1999).

Version 1.0.0

Team

Coordinator: Luiz Eduardo Vicente

Technical responsible: Ricardo A. A. Pazianotto and Daniel Gomes dos S. W. Loebmann

IT support: Elias Gomes de Almeida

Support: Technical team Plataforma ABC