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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/43CA94S
Repositorysid.inpe.br/mtc-m21c/2020/10.05.12.49   (restricted access)
Last Update2020:10.05.12.49.24 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/10.05.12.49.24
Metadata Last Update2022:01.04.01.35.28 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1109/LAGIRS48042.2020.9165637
ISBN978-172814350-7
Citation KeyBontempoDemCorMarVal:2020:ClSyDr
TitleClassification system drives disagreement among brazilian vegetation maps at a sample area of the semiarid Caatinga
Year2020
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size235 KiB
2. Context
Author1 Bontempo, Edgard
2 Demirel, M. C.
3 Corsini, Christianne
4 Martins, Flora
5 Valeriano, Dalton de Morisson
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JGT4
Group1
2
3
4
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Funcate
2 Istanbul Technical University
3 Funcate
4 Funcate
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 edgard.silva@funcate.org.br
2 demirelmc@itu.edu.tr
3 christiane.corsini@funcate.org.br
4 flora.martins@funcate.org.br
5 dalton.valeriano@inpe.br
Conference NameIEEE Latin American GRSS; ISPRS Remote Sensing Conference
Conference LocationSantiago, Chile
Date21-26 Mar.
PublisherIEEE
Pages499-504
Book TitleProceedings
History (UTC)2020-10-05 12:49:24 :: simone -> administrator ::
2022-01-04 01:35:28 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsLand Cover Classification
LCC
Classification Semantics
Caatinga
Vegetation Mapping
AbstractThe mapping of vegetation and Land Cover (LC) is important for research and for public policy planning but, in Brazil, although diverse maps exist there are few studies comparing them. The semiarid region of the Caatinga, in northeastern Brazil is an area long neglected by scientific research and its vegetation is diverse and relatively rich despite years of human occupation and very little preservation effort. In this study we make a comparison between the main maps made for the Caatinga from four different sources: IBGE (Brazilian Institute of Geography and Statistics), TCN (Third National Communication), ProBio (Project for Conservation and Sustainable Use of Biological Biodiversity) and MapBiomas. We also test these maps against well-known Land Cover maps from ESA and NASA: ESAs GlobCover and Climate Change Initiative (CCI) Land Cover, and NASAs MODIS MCD12Q1. This was done on a sample area where many of the Caatingas vegetation physiognomies can be found, using well-established Difference metrics and the new SPAtial EFficiency (SPAEF) algorithm as they present complementary viewpoints to test the correspondence of mapped classes as well as that of their spatial patterns. Our results show considerable disagreement between the maps tested and their class semantics, with IBGEs and ProBios being the most similar among all national maps and MapBiomas the most closely related to global LC maps. The nature of the observed disagreement between these maps shows they diverge not only in the application of their classification systems, but also in their mapped spatial pattern, signaling the need for a better classification system and a better map of vegetation and land cover for the region.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Classification system drives...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filebontempo_classification.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.44.17 1
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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