Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/895460
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSPERANZA, E. A.pt_BR
dc.contributor.authorESQUERDO, J. C. D. M.pt_BR
dc.contributor.authorSILVA, J. dos S. V. dapt_BR
dc.contributor.authorANTUNES, J. F. G.pt_BR
dc.contributor.authorLOURENÇO, F. V.pt_BR
dc.contributor.authorCEZAR, V. M.pt_BR
dc.date.accessioned2011-07-08T11:11:11Zpt_BR
dc.date.accessioned2011-07-08T11:11:11Zpt_BR
dc.date.available2011-07-08T11:11:11Zpt_BR
dc.date.available2011-07-08T11:11:11Zpt_BR
dc.date.created2011-07-08pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationGeografia, Rio Claro, v. 36, p. 57-72, jun. 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/895460pt_BR
dc.descriptionThe Interactive System for Environmental Licensing Support (SISLA) provides spatial data for environmental licensing in the state of Mato Grosso do Sul, both for private and governmental use. This paper describes the computational implementation of all modules from SISLA, as well as the methodology of NDVI/MODIS imagery processing and data inclusion in the system. SISLA is a Web Geographic Information System which aims to ease and accelerate the management and analysis of environmental licensing processes. Providing a geo-spatial database, SISLA performs useful analysis for environmental licensing decision making, confronting spatial information provided by producers and consultants with information of areas under protection provided by the Government of Mato Grosso do Sul.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectLicenciamento ambientalpt_BR
dc.subjectGeotecnologiaspt_BR
dc.subjectConsultas espaciaispt_BR
dc.subjectSistemas de informação geográficapt_BR
dc.titleSISLA - Interactive system for environmental licensing support.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2013-04-02T11:11:11Zpt_BR
dc.subject.thesagroSensoriamento Remotopt_BR
dc.subject.nalthesaurusGeographic information systemspt_BR
dc.subject.nalthesaurusRemote Sensingpt_BR
dc.description.notesNúmero especial.pt_BR
riaa.ainfo.id895460pt_BR
riaa.ainfo.lastupdate2013-04-02pt_BR
dc.contributor.institutionEDUARDO ANTONIO SPERANZA, CNPTIA; JÚLIO CESAR DALLA MORA ESQUERDO, CNPTIA; JOÃO DOS SANTOS VILA DA SILVA, CNPTIA; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA; FELIPE VILELA LOURENÇO, Unicamp, Estagiário CNPTIA; VICTOR MUNIZ CEZAR, Unicamp, Estagiário CNPTIA.pt_BR
Appears in Collections:Artigo em periódico indexado (CNPTIA)

Files in This Item:
File Description SizeFormat 
artigo4.pdf5,5 MBAdobe PDFThumbnail
View/Open
Show simple item record

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace