%0 Journal Article
%@nexthigherunit 8JMKD3MGP6W34M/4AH5NEL
%@nexthigherunit 8JMKD3MGPCW/46KUATE
%@nexthigherunit 8JMKD3MGPCW/46L2FGP
%2 sid.inpe.br/mtc-m21d/2024/12.10.13.41.18
%4 sid.inpe.br/mtc-m21d/2024/12.10.13.41
%3 Messias_isprs-archives-XLVIII-3-2024-127-2024.pdf
%@mirrorrepository urlib.net/www/2021/06.04.03.40.25
%8 Nov.
%9 conference paper
%@issn 1682-1750
%A Doblas, Juan,
%A Reis, Mariane Souza,
%A Mermoz, Stéphane,
%A Almeida, Cláudio Aparecido de,
%A Koleck, Thierry,
%A Messias, Cassiano Gustavo,
%A Soler, Luciana de Souza,
%A Bouvet, Alexandre,
%A Sant'Anna, Sidnei João Siqueira,
%@secondarytype PRE PI
%B The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
%D 2024
%K Deforestation, Deter, TropiSCO, Amazon biome, Sentinel-1, Time-series analysis.
%P 471-476
%T DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome
%V 48
%@project Monitoramento dos Biomas Brasileiros por Satélite – Construção de Novas Capacidades (2019 - 2023)
%X The Amazon biome, undergoing significant deforestation, requires robust monitoring systems for effective management and conservation. This study introduces DETER-RT, a novel deforestation detection system that combines the Synthetic Aperture Radar (SAR)-based DETER-R and the TropiSCO systems to enhance detection capabilities using Sentinel-1 satellite data. DETER-RT utilizes a double-threshold technique to optimize the detection of deforestation by balancing detection accuracy and minimizing false positives across different forest types and conditions in the Amazon. The new system modulates detection thresholds based on the proximity of new disturbances to previously detected deforestation, incorporating a dynamic, regionalized threshold adjustment to cater to the variable characteristics of the Amazons diverse forest cover. Initial results indicate that DETER-RT provides more timely and accurate warnings compared to existing methods, especially during the fire season, where its performance is less impacted by smoke and haze that typically hinder optical sensors. This approach exemplifies the integration of advanced remote sensing technologies and analytical techniques in environmental monitoring.
%@area SRE
%@electronicmailaddress doblas@globeo.net
%@electronicmailaddress mariane.reis@inpe.br
%@electronicmailaddress
%@electronicmailaddress claudio.almeida@inpe.br
%@electronicmailaddress
%@electronicmailaddress cassiano.messias@inpe.br
%@electronicmailaddress lusoler@gmail.com
%@electronicmailaddress
%@electronicmailaddress sidnei.santanna@inpe.br
%@documentstage not transferred
%@group
%@group DIOTG-CGCT-INPE-MCTI-GOV-BR
%@group
%@group DIPE1-COGPI-INPE-MCTI-GOV-BR
%@group
%@group DIPE1-COGPI-INPE-MCTI-GOV-BR
%@group DIPE1-COGPI-INPE-MCTI-GOV-BR
%@group
%@group DIOTG-CGCT-INPE-MCTI-GOV-BR
%@dissemination WEBSCI; SCOPUS.
%@usergroup simone
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JJ8N
%@affiliation GlobEO
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation GlobEO
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation CNES
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation IRD
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.5194/isprs-archives-XLVIII-3-2024-127-2024