After successfully passing commissioning tests, the Amazonia-1 satellite was declared operational and its imagery is now available to the public. Through the website www.dgi.inpe.br and the catalog www2.dgi.inpe.br/catalogo/explore, you can access images from across Brazil produced by the satellite. The portal also includes a manual for using the search tool.
For U.S. GIS and forestry professionals: this article is localized from Brazilian Portuguese and expanded with practical U.S.-relevant guidance. When legal or technical terms are Brazil-specific, a brief note explains the U.S. equivalent.
See the current orbit of Amazonia-1
Amazonia-1 is the first Earth observation satellite completely designed, integrated, tested and operated by Brazil. On January 28, 2021, it was launched from the Sriharikota Range (SHAR) base in India on the PSLV-C51 mission, together with the country's space agency, the Indian Space Research Organization (ISRO). The project is coordinated by the Ministry of Science, Technology and Innovations (MCTI) and developed by the National Institute for Space Research (INPE/MCTI), in partnership with the Brazilian Space Agency (AEB/MCTI).
With six kilometers of wires and 14 thousand electrical connections, Amazonia-1 is the third Brazilian remote sensing satellite in operation alongside CBERS-4 and CBERS-4A. Amazonia-1 is a Sun-synchronous (polar) orbit satellite that will generate images of the planet every 5 days. To do this, it has a wide-view optical imager (camera with 3 frequency bands in the visible VIS spectrum and 1 near-infrared band Near Infrared or NIR) capable of observing a range of approximately 528.17 miles (850 km) with 209.97 feet (64 meters) of resolution.
Its orbit was designed to provide a high revisit rate (5 days), thus having the capacity to make a significant amount of data available from the same point on the planet. On demand, Amazonia-1 will be able to provide data from a specific point in two days. This feature is extremely valuable in applications such as deforestation warning in the Amazon, as it increases the probability of capturing useful images given the cloud cover in the region.
Source: MCT/INPE
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