Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon

Detalhes bibliográficos
Autor(a) principal: Perazzoni, Franco
Data de Publicação: 2020
Outros Autores: Bacelar-Nicolau, Paula, Painho, Marco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/100684
Resumo: Perazzoni, F., Bacelar-Nicolau, P., & Painho, M. (2020). Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon. ISPRS International Journal of Geo-Information, 9(6), 1-29. [398]. https://doi.org/10.3390/ijgi9060398
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spelling Geointelligence against illegal deforestation and timber laundering in the Brazilian AmazonAmazonBenford’s lawDeforestationForestry managementGeointelligenceOrganized crimePMFSRADAMSisDOFTimber launderingGeography, Planning and DevelopmentComputers in Earth SciencesEarth and Planetary Sciences (miscellaneous)SDG 12 - Responsible Consumption and ProductionSDG 16 - Peace, Justice and Strong InstitutionsPerazzoni, F., Bacelar-Nicolau, P., & Painho, M. (2020). Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon. ISPRS International Journal of Geo-Information, 9(6), 1-29. [398]. https://doi.org/10.3390/ijgi9060398Due to the characteristics of the Southern Amazonas Mesoregion (Mesorregião Sul do Amazonas, MSA), conducting on-site surveys in all licensed forestry areas (Plano de Manejo Florestal, PMFS) is an impossible task. Therefore, the present investigation aimed to: (i) analyze the use of geointelligence (GEOINT) techniques to support the evaluation of PMFS; and (ii) verify if the PMFS located in the MSA are being executed in accordance with Brazilian legislation. A set of twenty-two evaluation criteria were established. These were initially applied to a “standard” PMFS and subsequently replicated to a larger area of 83 PMFS, located in the MSA. GEOINT allowed for a better understanding of each PMFS, identifying illegal forestry activities and evidence of timber laundering. Among these results, we highlight the following evidences: (i) inconsistencies related to total transport time and prices declared to the authorities (48% of PMFS); (ii) volumetric information incompatible with official forest inventories and/or not conforming with Benford’s law (37% of PMFS); (iii) signs of exploitation outside the authorized polygon limits (35% PMFS) and signs of clear-cutting (29% of PMFS); (iv) no signs of infrastructure compatible with licensed forestry (17% of PMFS); and (v) signs of exploitation prior to the licensing (13% of PMFS) and after the expiration of licensing (3%).NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNPerazzoni, FrancoBacelar-Nicolau, PaulaPainho, Marco2020-07-10T22:22:16Z2020-062020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article29application/pdfapplication/pdfhttp://hdl.handle.net/10362/100684eng2220-9964PURE: 18961613https://doi.org/10.3390/ijgi9060398info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:47:04Zoai:run.unl.pt:10362/100684Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:24.680642Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
title Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
spellingShingle Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
Perazzoni, Franco
Amazon
Benford’s law
Deforestation
Forestry management
Geointelligence
Organized crime
PMFS
RADAM
SisDOF
Timber laundering
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
SDG 12 - Responsible Consumption and Production
SDG 16 - Peace, Justice and Strong Institutions
title_short Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
title_full Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
title_fullStr Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
title_full_unstemmed Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
title_sort Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon
author Perazzoni, Franco
author_facet Perazzoni, Franco
Bacelar-Nicolau, Paula
Painho, Marco
author_role author
author2 Bacelar-Nicolau, Paula
Painho, Marco
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Perazzoni, Franco
Bacelar-Nicolau, Paula
Painho, Marco
dc.subject.por.fl_str_mv Amazon
Benford’s law
Deforestation
Forestry management
Geointelligence
Organized crime
PMFS
RADAM
SisDOF
Timber laundering
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
SDG 12 - Responsible Consumption and Production
SDG 16 - Peace, Justice and Strong Institutions
topic Amazon
Benford’s law
Deforestation
Forestry management
Geointelligence
Organized crime
PMFS
RADAM
SisDOF
Timber laundering
Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)
SDG 12 - Responsible Consumption and Production
SDG 16 - Peace, Justice and Strong Institutions
description Perazzoni, F., Bacelar-Nicolau, P., & Painho, M. (2020). Geointelligence against illegal deforestation and timber laundering in the Brazilian Amazon. ISPRS International Journal of Geo-Information, 9(6), 1-29. [398]. https://doi.org/10.3390/ijgi9060398
publishDate 2020
dc.date.none.fl_str_mv 2020-07-10T22:22:16Z
2020-06
2020-06-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/100684
url http://hdl.handle.net/10362/100684
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2220-9964
PURE: 18961613
https://doi.org/10.3390/ijgi9060398
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
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instacron:RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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