Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m12@80/2006/04.28.17.28
Last Update2006:07.21.20.18.10 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m12@80/2006/04.28.17.28.13
Metadata Last Update2018:06.05.00.40.44 (UTC) administrator
Secondary KeyINPE--PRE/
ISBN3-00-006462-1
Citation KeyAlmeida:2000:GeApFo
TitleGeocomputation Applied to the Forecast of Sustainable Strategies for Land Occupation
FormatCD-ROM, On-line.
Year2000
Access Date2025, July 01
Number of Files1
Size185 KiB
2. Context
AuthorAlmeida, Cláudia Maria
GroupDSR-INPE-MCT-BR
AffiliationDivisão de Sensoriamento Remoto
e-Mail Addressalmeida@dsr.inpe.br
Conference NameShaping the Future - Forum at the Global Dialogue, (Expo 2000).
Conference LocationHannover, Alemanha
Date2000-06
PublisherHermann Hettche and Universal
Book TitleProceedings
OrganizationDAAD; Volkswagen Stiftung
History (UTC)2006-04-28 17:28:13 :: ariovaldo -> marciana ::
2006-07-21 12:51:18 :: marciana -> ariovaldo ::
2006-07-21 20:18:10 :: ariovaldo -> administrator ::
2018-06-05 00:40:44 :: administrator -> ariovaldo :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsgeocomputation
cellular automata
land use dynamics
town planning
AbstractThis scientific paper, a brief summary of a PhD Thesis currently under execution at the Division of Image Processing of the Brazilian National Institute for Space Research (DPI INPE), is committed with building up a methodological guideline to the prediction of sustainable strategies for land occupation. By means of quantitative as well as qualitative models and the usage of GIS (Geographic Information Systems), land occupation and land development scenarios shall be generated for the particular case of the Tietê River Downstream Watershed, west of São Paulo State. This forecast shall thus be made possible through advanced spatial analysis and modelling techniques, involving linear and non-linear micro- and macro-scale models, and through the employment of last generation satellite images, aerial and digital photos as well as socio-economic data interpreted in an integrated manner in space and time.
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Geocomputation Applied to...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/mtc-m12@80/2006/04.28.17.28
zipped data URLhttp://urlib.net/zip/sid.inpe.br/mtc-m12@80/2006/04.28.17.28
Languageen
Target File136_Paper.PDF
User Groupadministrator
ariovaldo
Visibilityshown
Update Permissiontransferred to ariovaldo
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/bibdigital/2013/09.13.21.11 - 2
sid.inpe.br/banon/2001/04.06.10.52.39 - 1
Dissemination<E>
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel doi edition editor electronicmailaddress identifier issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
e-Mail (login)ariovaldo
update 


Close