| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Site | plutao.sid.inpe.br (namespace prefix: upn:33M4QT8) |
| Identifier | 8JMKD3MGP3W/3FCLSPH |
| Repository | sid.inpe.br/plutao/2013/12.12.19.57.42 |
| Last Update | 2018:08.27.13.05.19 (UTC) marcelo.pazos@inpe.br |
| Metadata Repository | sid.inpe.br/plutao/2013/12.12.19.57.43 |
| Metadata Last Update | 2018:08.27.13.05.20 (UTC) marcelo.pazos@inpe.br |
| Label | lattes: 8568657851459133 2 SantosDiSoDiAdMaGo:2013:IdMaFo |
| Citation Key | SantosDiSoDiAdMaGo:2013:IdMaFo |
| Title | Identification and mapping of forest degradation patterns on the Brazilian Amazon based on AWIFS sensor image  |
| Year | 2013 |
| Access Date | 2026, Sep. 17 |
| Secondary Type | PRE CI |
| Number of Files | 1 |
| Size | 794 KiB |
| 2. Context | |
| Author | 1 Santos, Diogo Corrêa 2 Dias, Mírian Corrêa 3 Souza, Arlesson Antonio de Almeida 4 Diniz, Cesar Guerreiro 5 Adami, Marcos 6 Maia, Janaína Sant'Ana 7 Gomes, Alessandra Rodrigues |
| Group | 1 2 CRA-CCR-INPE-MCTI-GOV-BR 3 4 5 CRA-CCR-INPE-MCTI-GOV-BR 6 7 CRA-CCR-INPE-MCTI-GOV-BR |
| Affiliation | 1 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 4 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 7 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 2 miriancorreadias@hotmail.com |
| e-Mail Address | miriancorreadias@hotmail.com |
| Conference Name | Semana Latino-Americana de Percepción Remota, (LARS). |
| Conference Location | Santiago - Chile |
| Date | 2013 |
| Book Title | Proceedings |
| Tertiary Type | Paper |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 upn:33M4QT8 |
| History (UTC) | 2013-12-12 19:57:43 :: lattes -> administrator :: 2018-06-04 23:39:26 :: administrator -> marcelo.pazos@inpe.br :: 2013 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Identification and mapping... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URI | upn:33M4QT8:8JMKD3MGP3W/3FCLSPH |
| data URL | http://urlib.net/ibi/8JMKD3MGP3W/3FCLSPH |
| zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/3FCLSPH |
| Language | en |
| Target File | santos_identification.pdf |
| User Group | lattes marcelo.pazos@inpe.br |
| Reader Group | administrator marcelo.pazos@inpe.br |
| Visibility | shown |
| Update Permission | not transferred |
| 5. Allied materials | |
| Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
| Next Higher Units | 8JMKD3MGPCW/3EUAE4H |
| Citing Item List | sid.inpe.br/bibdigital/2013/10.03.18.52 - 62 sid.inpe.br/bibdigital@80/2006/12.20.14.49 - 6 sid.inpe.br/bibdigital@80/2006/04.07.15.50.13 - 2 |
| 6. Notes | |
| Notes | Informações Adicionais: The Near Real Time Deforestation Detection System (DETER) was developed by the National Institute for Space Research as an MODIS based alert system to support surveillance and control of deforestation, integrating the plan for prevention and control of deforestation in the Amazon and has been responsible for a fast and systematic deforestation survey since May 2004 in the Brazilian. In the last decade there was a reduction in the size of the deforestation patches. This reduction causes a major limitation to DETER mapping capabilities due to its reduced spatial resolution. This study aims to map and identify forest degradation patterns using the Advanced Wide Field Sensor (AWiFS) onboard of Resourcesat-I satellite testing its suitability to map and monitor deforestation in the Amazon rainforest. It was possible to identify the presence of six forest degradation patterns, within a mapped area of 2757.3 ha as clear cut, 7620.91 ha for moderate degradation, 9295.42 ha as high degradation, 31.7810,38 ha as burnt scar, 9300.22 ha for regular selective cut and 928.77 ha for conventional selective cut. The highest percentage of mapped area (~ 91%) is associated with the burnt scar class. This result indicates that the AWiFS sensor with moderate spatial resolution, can be used in the monitoring and surveillance of the Brazilian Amazon, providing support for conservation measures. 1. INTRODCTION The Brazilian Amazon has large biogeographic heterogeneity and had its human occupation processes resulting in a huge variety of spatial patterns that may be associated with different actors, history and types of occupation (Alves, 2002; Fearnside, 2008). It is estimated that in 1990 the rainforests covered and area between 11.5 and 12.4 million km (Achard et al., 2002). The Brazilian Legal Amazon (BLA), has approximately 5 million km , represents about 30% of the rainforests being the largest contiguous rainforest in the planet and home a vast biodiversity (Foley et al., 2007). I. |
| Empty Fields | abstract archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn keywords lineage mark nextedition numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume |
| 7. Description control | |
| e-Mail (login) | marcelo.pazos@inpe.br |
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