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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3LRKAGP
Repositorysid.inpe.br/mtc-m21b/2016/06.09.19.20   (restricted access)
Last Update2016:06.09.19.21.23 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/06.09.19.20.54
Metadata Last Update2018:06.04.02.40.54 (UTC) administrator
DOI10.1007/s40808-016-0129-3
ISSN2363-6203
Citation KeyContiAraúCunh:2016:SpDaMo
TitleSpatial database modeling for mangrove forests mapping; example of two estuarine systems in Brazil
Year2016
MonthJune
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6604 KiB
2. Context
Author1 Conti, Luis Américo
2 Araújo, Carlos Alberto Sampaio de
3 Cunha-Lignon, Marília
Group1
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Universidade de São Paulo (USP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual Paulista (UNESP)
Author e-Mail Address1 lconti@usp.br
2 carlos@dsr.inpe.br
JournalModelling Earth Systems and Enrironment
Volume2
Number73
History (UTC)2016-06-09 19:21:24 :: simone -> administrator :: 2016
2018-06-04 02:40:54 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsRemote sensing GIS Time change detection Subtropical wetland Coastal zone management Conservation Geospatial database Intr
AbstractThis work considers mangrove cover changes in two subtropical estuaries in the southeastern coast of Brazil: Canane´ia-Iguape Coastal System and Santos Estuarine System. A sequence of Landsat images from 1985 to 2014 from both areas was segmented, classified and analyzed in order to develop a systematic GIS approach for identifying and characterizing mangrove fragments in such estuaries and how they change over time. The main goal of our work is to propose a unified hierarchical spatial database model in a GIS framework developed to incorporate different types of spatial information such as spectral (e.g. vegetation indices), spatial (e.g. fragmentation indices) and temporal (e.g. change detection) at different scales. The examples analyzed showed that changes and fluctuations in mangrove habitats could be identified and characterized revealing potential tools for handling and analyzing data focused on environmental monitoring and the coastal resource protection and conservation.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Spatial database modeling...
doc Directory Contentaccess
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4. Conditions of access and use
Languageen
Target Fileconti_spatial.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 4
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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