DETER Monitoring on Non-Forest Vegetation in the Brazilian Amazon

In this study, we present the initial results of the pilot project applying the Near Real-Time Deforestation Detection System (DETER), initially designed for monitoring forest ecosystems (DETER Amazon), recently expanded to surveil an area of approximately 280,000 km² of non-forest natural vegetatio...

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Bibliographic Details
Published in:	Revista brasileira de cartografia Vol. 76
Main Authors:	Messias, Cassiano Gustavo, Pinto, João Felipe Sobrinho Kneipp Cerqueira, Camilotti, Vagner Luis, Soler, Luciana, Maurano, Luis Eduardo Pinheiro, Adami, Marcos, Alves, Fábio Corrêa, Reis, Mariane Souza, Quadros, Camila Barata, Moreira, Noeli Aline Particcelli, Gusmão, Luiz Henrique Almeida, Lima, Thiago Carvalho de, Barradas, Delmina Carla Matos, Carvalho, André, Pinheiro, Fábio da Conceição, Renó, Vivian Fróes, Correia-Lima, Deborah Lopes, Moraes, Douglas Rafael Vidal de, Belluzzo, Amanda Pinoti, Souza, Jefferson Jesus de, Barros, Lucélia Souza de, Chrispim, Eduardo Henrique Sanches, Silva, Diego Moreira, Cunha, Igor Perez, Matos, Marlon Henrique Hetzel, Alves, Gabriel Mikael Rodrigues, Teixeira, Raíssa Caroline dos Santos, Rodrigues Neto, Manoel Ribeiro, Moraes, Dayane Rafaela Vidal de, Almeida, Rodrigo de, Bastos, Eduardo Felipe Marcelino, Andrade, Ana Carolina Santos de, Perez, Letícia Palazzi, Xaud, Maristela Ramalho, Xaud, Haron Abrahim Magalhães, Souza, Arlesson Antonio de Almeida, Almeida, Cláudio Aparecido de
Format:	Journal Article
Language:	English
Published:	Universidade Federal de Uberlândia 11-10-2024
Subjects:	Deforestation Land Use and Land Cover Change (LUCC) Monitoring system Near real time detection Savannas
Online Access:	Get full text
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Summary:	In this study, we present the initial results of the pilot project applying the Near Real-Time Deforestation Detection System (DETER), initially designed for monitoring forest ecosystems (DETER Amazon), recently expanded to surveil an area of approximately 280,000 km² of non-forest natural vegetation (NF) in the Brazilian Amazon. The system issues two types of alerts: 1) NF suppression alerts, categorized into three classes (suppression with exposed soil, suppression with cultivated area, and suppression by mining) and 2) burn scars, based on an adapted methodology from DETER Amazon and images with low spatial resolution (64 m) but high temporal resolution (two or three days to assess the entire biome). The pilot project period was from August 2022 to July 2023, with a total area of suppression alerts covering 575.22 km², predominantly composed of the NF suppression class with exposed soil, and 8,036.99 km² of burn scar areas. The majority of NF suppression alerts occurred in the states of Roraima, Mato Grosso, Rondônia, and Pará. Additionally, Amazonas and Amapá stood out among the states with a higher area of burn scar alerts. Savannas were the most affected non-forest physiognomies, with 5,037 km² (6.5%) of their area impacted by suppression and fire. Comparative analysis with other monitoring systems in the Amazon demonstrated the effectiveness of DETER NF in monitoring non-forest areas in the biome.
ISSN:	0560-4613 1808-0936
DOI:	10.14393/rbcv76n0a-72531