Slide 1

Produção, visualização e análise de grandes volumes de imagens de sensoriamento remoto modeladas como cubos de dados multidimensionais para todo o território brasileiro.

Slide 1

O Data Cube Explorer é um portal web para visualização de cubos de dados, coleções de imagens e classificações.

previous arrow
next arrow

DETER Intenso and Forest Monitor: Improving the alerting of deforestation in the Brazilian Amazon Rainforest

by Luis E. P. Maurano 1 Gilberto Ribeiro de Queiroz 1 Lúbia Vinhas ¹ Karine Ferreira 1 Claudio Aparecido de Almeida 1 Raphael Willian da Costa 1

¹ National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil

Anais / Proceedings XX SBSR – Vol 20, 2023. – 56460: https://proceedings.science/sbsr-2023/trabalhos/deter-intenso-and-forest-monitor-improving-the-alerting-of-deforestation-in-the?lang=pt-br

Publisher: SBSR | Published: April 5, 2023

Abstract

This article presents the development of the Forest Monitor application and its use in the DETER Intenso project, conducted by INPE. DETER Intenso, complementary to the DETER project, aims to improve the production of deforestation and degradation alerts in the Amazon region. This is done through the systematic analysis of images from other sensors, thus increasing the revisit and also the accuracy of alerts through the incorporation of higher resolution sensors. Forest Monitor is the Web GIS developed to give access to these image sources that are found in a cloud computing environment. . View Full-Text

Keywords: Deforestation alerts, FOREST Monitor, DETER Intenso, cloud computing.

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Share and Cite

Luis E. P. Maurano et al. DETER INTENSO AND FOREST MONITOR: IMPROVING THE ALERTING OF DEFORESTATION IN THE BRAZILIAN AMAZON RAINFOREST. In: ANAIS DO XX SIMPóSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 2023, Florianópolis. Anais eletrônicos… São José dos Campos, INPE, 2023. ISBN: 978-65-89159-04-9, Vol 20, 2023. – 156460.

Brazil Data Cube - 2019 - 2024