Geointelligence against Illegal Deforestation and Timber Laundering in the Brazilian Amazon

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...

Full description

Bibliographic Details
Main Authors: Franco Perazzoni, Paula Bacelar-Nicolau, Marco Painho
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/9/6/398
_version_ 1797565050175619072
author Franco Perazzoni
Paula Bacelar-Nicolau
Marco Painho
author_facet Franco Perazzoni
Paula Bacelar-Nicolau
Marco Painho
author_sort Franco Perazzoni
collection DOAJ
description 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%).
first_indexed 2024-03-10T19:06:31Z
format Article
id doaj.art-d02c37d3e7c44a509e7ca70f533b0596
institution Directory Open Access Journal
issn 2220-9964
language English
last_indexed 2024-03-10T19:06:31Z
publishDate 2020-06-01
publisher MDPI AG
record_format Article
series ISPRS International Journal of Geo-Information
spelling doaj.art-d02c37d3e7c44a509e7ca70f533b05962023-11-20T04:07:24ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-06-019639810.3390/ijgi9060398Geointelligence against Illegal Deforestation and Timber Laundering in the Brazilian AmazonFranco Perazzoni0Paula Bacelar-Nicolau1Marco Painho2Social Sustainability and Development (SSD), Universidade Aberta, 1269-001 Lisboa, PortugalDepartment of Sciences and Technology, Universidade Aberta, 1269-001 Lisboa, PortugalNOVA Information Management School, Universidade Nova de Lisboa, 1070-312 Lisboa, PortugalDue 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%).https://www.mdpi.com/2220-9964/9/6/398amazonBenford’s lawdeforestationforestry managementgeointelligenceorganized crime
spellingShingle Franco Perazzoni
Paula Bacelar-Nicolau
Marco Painho
Geointelligence against Illegal Deforestation and Timber Laundering in the Brazilian Amazon
ISPRS International Journal of Geo-Information
amazon
Benford’s law
deforestation
forestry management
geointelligence
organized crime
title 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_short Geointelligence against Illegal Deforestation and Timber Laundering in the Brazilian Amazon
title_sort geointelligence against illegal deforestation and timber laundering in the brazilian amazon
topic amazon
Benford’s law
deforestation
forestry management
geointelligence
organized crime
url https://www.mdpi.com/2220-9964/9/6/398
work_keys_str_mv AT francoperazzoni geointelligenceagainstillegaldeforestationandtimberlaunderinginthebrazilianamazon
AT paulabacelarnicolau geointelligenceagainstillegaldeforestationandtimberlaunderinginthebrazilianamazon
AT marcopainho geointelligenceagainstillegaldeforestationandtimberlaunderinginthebrazilianamazon