Publication
Geointelligence against illegal deforestation and timber laundering in the brazilian Amazon
datacite.subject.sdg | 15:Proteger a Vida Terrestre | pt_PT |
dc.contributor.author | Perazzoni, Franco | |
dc.contributor.author | Nicolau, Paula Bacelar | |
dc.contributor.author | Painho, Marco | |
dc.date.accessioned | 2021-10-18T11:08:43Z | |
dc.date.available | 2021-10-18T11:08:43Z | |
dc.date.issued | 2020-06 | |
dc.description.abstract | Due 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 (70% of PMFS); (ii) volumetric information incompatible with official forest inventories and/or not conforming with Benford’s law (54% of PMFS); (iii) signs of exploitation outside the authorized polygon limits (51% of PMFS) and signs of clear-cutting (43% of PMFS); (iv) no signs of infrastructure compatible with licensed forestry (24% of PMFS); and (v) signs of exploitation prior to the licensing (19% of PMFS) and after the expiration of licensing (5%). | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Perazzoni, F.; Bacelar-Nicolau, P.; Painho, M. Geointelligence against Illegal Deforestation and Timber Laundering in the Brazilian Amazon. ISPRS Int. J. Geo-Inf. 2020, 9, 398. https://doi.org/10.3390/ijgi9060398 | pt_PT |
dc.identifier.doi | 10.3390/ijgi9060398 | pt_PT |
dc.identifier.issn | 2220-9964 | |
dc.identifier.uri | http://hdl.handle.net/10400.2/11261 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.subject | Amazon | pt_PT |
dc.subject | Benford’s law | pt_PT |
dc.subject | Deforestation | pt_PT |
dc.subject | Forestry management | pt_PT |
dc.subject | Geointelligence | pt_PT |
dc.subject | Organized crime | pt_PT |
dc.subject | PMFS | pt_PT |
dc.subject | RADAM | pt_PT |
dc.subject | SisDOF | pt_PT |
dc.subject | Timber laundering | pt_PT |
dc.title | Geointelligence against illegal deforestation and timber laundering in the brazilian Amazon | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 6 | pt_PT |
oaire.citation.startPage | 398 | pt_PT |
oaire.citation.title | ISPRS International Journal of Geo-Information | pt_PT |
oaire.citation.volume | 9 | pt_PT |
person.familyName | Perazzoni | |
person.familyName | Nicolau | |
person.familyName | Painho | |
person.givenName | Franco | |
person.givenName | Paula Bacelar | |
person.givenName | Marco | |
person.identifier | https://scholar.google.com/citations?hl=pt-PT&user=WWFc0MkAAAAJ | |
person.identifier.ciencia-id | 7D11-BE78-21FD | |
person.identifier.orcid | 0000-0001-8775-4312 | |
person.identifier.orcid | 0000-0001-5940-5131 | |
person.identifier.orcid | 0000-0003-1136-3387 | |
person.identifier.rid | H-1696-2013 | |
person.identifier.rid | D-1884-2010 | |
person.identifier.scopus-author-id | 57200827404 | |
person.identifier.scopus-author-id | 6507462575 | |
person.identifier.scopus-author-id | 55893968400 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 28dfb577-4ba1-4fa6-96b7-3f7258bdce2a | |
relation.isAuthorOfPublication | c65a3227-1c5b-4bd3-b49c-95c19d53fdd6 | |
relation.isAuthorOfPublication | 632bd61d-5116-4210-ad1a-a89f671e6eef | |
relation.isAuthorOfPublication.latestForDiscovery | c65a3227-1c5b-4bd3-b49c-95c19d53fdd6 |
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