04/04/2022 – O Livre: Mato Grosso has 16 municipalities among the 40 that suffer the greatest impact from fire in Brazil
Article in Frontiers in Forests and Global Change: Read the report by O Livre (PDF).
02/04/2022 – O Dia Rural: Baixa Grande do Ribeiro and Santa Filomena register high rates of fires
Article in Frontiers in Forests and Global Change: Watch O Dia Rural.
31/03/2022 – A Tarde: Three cities in the west are most affected by fires
Article in Frontiers in Forests and Global Change: Read the report by A Tarde.
31/03/2022 – PNB: 40% of the Brazilian cities that suffer the most from fires in Brazil are in Mato Grosso
Article in Frontiers in Forests and Global Change: Read the report by PNB (PDF).
30/03/2022 – Pará Terra Boa: Four cities in Pará are part of the list of municipalities where the impact of fire is higher
Article in Frontiers in Forests and Global Change: Read the report by Pará Terra Boa (PDF).
30/03/2022 – Piauí Hoje: Baixa Grande do Ribeiro and Santa Filomena are municipalities that suffer the most from fires
Article in Frontiers in Forests and Global Change: Read the report by Piauí Hoje (PDF).
29/03/2022 – MidiaMax: Three cities in MS are in the national ranking of cities that suffer the highest impacts of fires
Article in Frontiers in Forests and Global Change: Read the report by MidiaMax (PDF).
29/03/2022 – G1: 16 of the 40 Brazilian municipalities that face the greatest impact of fire are in MT
Article in Frontiers in Forests and Global Change: Read the report by G1 (PDF).
29/03/2022 – Agência Tocantins: Eight cities in Tocantins appear in the ranking of the 40 most affected by fire in Brazil
Article in Frontiers in Forests and Global Change: Read the report by Agência Tocantins (PDF).
29/03/2022 – Correio do Estado: Aquidauana, Corumbá and Porto Murtinho are among the 40 municipalities that suffer the most from fires
Article in Frontiers in Forests and Global Change: Read the report by Correio do Estado (PDF).
29/03/2022 – Perfil News: Three cities in MS are among the municipalities most affected by forest fires in Brazil
Article in Frontiers in Forests and Global Change: Read the report by Perfil News (PDF).
29/03/2022 – Barra do Corda: Grajaú is among the municipalities most affected by forest fires in Brazil
Article in Frontiers in Forests and Global Change: Read the report by Barra do Corda (PDF).
29/03/2022 – O Liberal: Four cities in Pará are among the 40 most affected by fires in Brazil
Article in Frontiers in Forests and Global Change: Read the report by O Liberal (PDF).
01/22/2021 – Boletim UFMG: UFMG researchers develop model that predicts fires probability in the Cerrado
Publication of paper in Forest Ecology and Management Journal: Click here to read the Boletim UFMG article (PDF).
11/04/2020 – YouTube UFMG: Technology created at UFMG enables fire prediction
Fire Spreading Model: Click here to watch the video produced by the UFMG social media team.
09/15/2020- Hoje em Dia: Minas has five forest fires every hour; the critical situation can get worse
Fire Spreading Model: Click here to read the Hoje em Dia article (PDF).
09/11/2020- Agrosoft: Tool helps prevent and fight fires
Fire Spreading Model: Click here to see the repercussion on Agrosoft website.
09/10/2020 – Jornal Minas: UFMG researchers create a tool that helps prevent and fight fires
Fire Spreading Model: Click here to watch the repercussion on Jornal Minas.
09/08/2020 – Jornal da Band: Computer program will help fight forest fires
Fire Spreading Model: Click here to watch the repercussion on Jornal da Band.
09/08/2020 – Bom Dia Brasil: UFMG researchers develop technology that calculates the direction of the fire
Fire Spreading Model: Click here to watch the repercussion on Bom Dia Brasil.
09/08/2020 – FM News: UFMG researchers develop technology that predicts forest fires
Fire Spreading Model: Click here to read the repercussion on FM News (PDF).
09/07/2020 – Rádio CBN: UFMG researchers create technology that can predict mass fires
Fire Spreading Model: Click here to listen to the program on Rádio CBN.
09/07/2020 – G1: UFMG researchers develop technology that predicts forest fires
Fire Spreading Model: Click here to read the G1 article (PDF).
09/07/2020 – SBT: Researchers develop technology that predicts forest fires
Fire Spreading Model: Click here to read the SBT article (PDF).
09/07/2020 – Redação com Dendê: UFMG researchers develop technology that predicts forest fires
Fire Spreading Model: Click here to read the repercussion on Redação com Dendê (PDF).
09/07/2020 – Criativa Online: UFMG develops technology that foresees forest fires
Fire Spreading Model: Click here to read the repercussion on Criativa Online (PDF).
09/07/2020 – FM Atitude: UFMG researchers develop technology that predicts forest fires
Fire Spreading Model: Click here to read the repercussion on FM Atitude (PDF).
08/31/2020 – MG no Ar: Researchers create technology capable of predicting forest fires
Fire Spreading Model: Click here to watch the video from MG no Ar.
08/27/2020 – Boletim UFMG: Technology created at UFMG enables fire prediction
Fire Spreading Model: Click here to read the article from Boletim UFMG (PDF).
01/11/2020 – El País: Climate change will increase fires in the Amazon Forest
Results of the FISC model: Click here to read the El País article (PDF).
01/11/2020 – O Globo: Climate crisis threatens 22 million hectares of the Amazon with fire
Results of the FISC model: Click here to read O Globo article (PDF).
01/10/2020 – CNN: The Amazon is a key buffer against climate change. A new study warns wildfires could decimate it
Results of the FISC model: Click here to read the CNN article (PDF).
01/10/2020 – Estadão: Global warming should worsen fires in the Amazon and destroy 16% of the south of the forest
Results of the FISC model: Click here to read the Estadão article (PDF).
01/10/2020 – Observatório do Clima: Climate will make the Amazon twice as flammable in this century
Results of the FISC model: Click here to read the article from Observatório do Clima (PDF).
01/10/2020 – Nature Research Journal: Playing with fire could turn the Amazon into a carbon source
Results of the FISC model: Click here to read the article in the Nature Research Journal (PDF).
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