Diniz, Cesar Guerreiro; de Almeida Souza, Arleson Antonio; Santos, Diogo Correa; Dias, Mirian Correa; da Luz, Nelton Cavalcante; Vidal de Moraes, Douglas Rafael; Maia, Janaina Sant'Ana; Gomes, Alessandra Rodrigues; Narvaes, Igor da Silva; Valeriano, Dalton M.; Pinheiro Maurano, Luis Eduardo; Adami, Marcos (2015). DETER-B: The New Amazon Near Real-Time Deforestation Detection System. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 8(7), 3619-3628.

Abstract
The Brazilian Legal Amazon (BLA), the largest global rainforest on earth, contains nearly 30% of the rainforest on earth. Given the regional complexity and dynamics, there are large government investments focused on controlling and preventing deforestation. The National Institute for Space Research (INPE) is currently developing five complementary BLA monitoring systems, among which the near real-time deforestation detection system (DETER) excels. DETER employs MODIS 250 m imagery and almost daily revisit, enabling an early warning system to support surveillance and control of deforestation. The aim of this paper is to present the methodology and results of the DETER based on AWIFS data, called DETER-B. Supported by 56 m images, the new system is effective in detecting deforestation smaller than 25 ha, concentrating 80% of its total detections and 45% of the total mapped area in this range. It also presents higher detection capability in identifying areas between 25 and 100 ha. The area estimation per municipality is statistically equal to those of the official deforestation data (PRODES) and allows the identification of degradation and logging patterns not observed with the traditional DETER system.

DOI:
10.1109/JSTARS.2015.2437075

ISSN:
1939-1404