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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3JU4LEP
Repositorysid.inpe.br/mtc-m21b/2015/07.28.18.35   (restricted access)
Last Update2016:01.06.13.04.21 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2015/07.28.18.35.33
Metadata Last Update2018:06.04.02.55.31 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1109/IGARSS.2015.7326175
ISBN978-147997929-5
Citation KeyGrecchiBeucShimAcha:2015:MuApAs
TitleA multidisciplinary approach for assessing forest degradation in the brazilian amazon
Year2015
Access Date2024, May 23
Secondary TypePRE CI
Number of Files1
Size401 KiB
2. Context
Author1 Grecchi, Rosana Cristina
2 Beuchle, René
3 Shimabukuro, Yosio Edemir
4 Achard, Fréderic
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJCQ
Group1
2
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Joins Research Centre of the European Commission
2 Joins Research Centre of the European Commission
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Joins Research Centre of the European Commission
Author e-Mail Address1
2
3 yosio@ltid.inpe.br
Conference NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Conference LocationMilan, Italy
Date23-31 July
PublisherIEEE
Pages1941-1944
Book TitleProceedings
OrganizationInstitute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (IEEE GRSS)
History (UTC)2015-07-28 18:35:33 :: simone -> administrator ::
2016-06-04 05:07:36 :: administrator -> simone :: 2015
2016-08-19 14:39:44 :: simone -> administrator :: 2015
2018-06-04 02:55:31 :: administrator -> simone :: 2015
3. Content and structure
Is the master or a copy?is the master
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Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBrazilian Amazon
forest degradation
fragmentation
indicators
selective logging
AbstractThis paper presents a multidisciplinary approach used to assess forest degradation in the Brazilian Amazon based on remote sensing and spatial pattern analysis techniques. The selected study area is located in the Mato Grosso State, which is one of the states of the Brazilian legal Amazon with the highest deforestation rates and with a high concentration of selective logging activities and forest fires. We used an object-based image analysis for mapping degraded forest areas and compared their spatial distribution with that of fragmentation and edge indicators and the distance to roads. Our results show that the majority of these disturbed forest areas occur within a distance of less than 5 km from the main roads, are located between 100m and 5 km from the forest edge, and show higher entropy (used as a measure of fragmentation). However, circa 30% of the degradation occurred in areas considered as 'core areas.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > A multidisciplinary approach...
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Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
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Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
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