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The search expression was <secondaryty ci and ref conference and firstg DSR-OBT-INPE-MCTI-GOV-BR and y 2012 and is *>.
20 references were found looking up in 17 out of 17 Archives
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The 10 most recent ones are listed below.
Search local date and time: 31/01/2023 08:23.

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BSRK82
Repositorysid.inpe.br/mtc-m18/2012/05.14.17.15
Last Update2012:05.14.17.15.41 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18/2012/05.14.17.15.41
Metadata Last Update2020:10.01.15.57.31 (UTC) administrator
ISBN978-85-17-00059-1
Citation KeyAlfayaFlorBarb:2012:MaAmRi
TitleMapping Amazon river floodplain reach with SRTM-DEM using the HAND descriptor and object-based image analysis
FormatOn-line.
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size393 KiB
2. Context
Author1 Alfaya, Felipe Augusto Ventura da Silva
2 Florenzano, Teresa Gallotti
3 Barbosa, Claudio Clemente Faria
Resume Identifier1
2 8JMKD3MGP5W/3C9JJ9T
3 8JMKD3MGP5W/3C9JGSB
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
Affiliation1 undefined
2 undefined
3 undefined
Author e-Mail Address1 alfaya@dsr.inpe.br
2 teresa@dsr.inpe.br
3 cláudio@dpi.inpe.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages137-140
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-14 17:15:41 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:41:47 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:41 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:29 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:55 :: marciana -> administrator :: 2012
2020-10-01 15:57:31 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsAmazon River floodplain
object based classification
SRTM
HAND
AbstractThe study of the Amazon River floodplain is of great importance for many subjects, and the first challenge that needs to be overcome in these studies is accurately defining the area of floodplain occurrence. An important source of data for this kind of study is the SRTM Digital Elevation Model. The objective of this work is to evaluate the use of SRTM data and HAND descriptor (Rennó et al, 2008) to map the Amazon River floodplain, using object based image analysis. For this, an Amazon River floodplain reach, Óbidos, Pará State was selected to apply the classification method. The classification was carried out using a two level segmentation and three level classification procedures. SRTM-DEM, HAND-DEM and HAND-DEM derived slope and curvature images were used as information layers. The results of the Monte Carlo analysis used to evaluate the level of agreement between the classifications and a reference map reveal that object based classification methods shows promise for floodplain mapping.
AreaSRE
TypeAquatic and Coastal Ecossystems
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Mapping Amazon river...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping Amazon river...
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/8JMKD3MGP8W/3BSRK82
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BSRK82
Languageen
Target File042.pdf
User Groupadministrator
marciana
wanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BSRHFB
Repositorysid.inpe.br/mtc-m18/2012/05.14.16.54
Last Update2012:05.14.16.54.00 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18/2012/05.14.16.54.01
Metadata Last Update2020:10.01.15.57.30 (UTC) administrator
ISBN978-85-17-00059-1
Citation KeyArnesenSilvHessNovo:2012:FlExMo
TitleFlood extent monitoring of the Amazon River floodplain using ScanSAR/ALOS data
FormatOn-line.
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size1091 KiB
2. Context
Author1 Arnesen, Allan Saddi
2 Silva, Thiago Sanna Freire
3 Hess, Laura L.
4 Novo, Evlyn Márcia Leão de Moraes
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3
4 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 undefined
2 undefined
3
4 undefined
Author e-Mail Address1 allansa@dsr.inpe.br
2 thiago@dsr.inpe.br
3 lola@eri.ucsb.edu
4 evlyn@dsr.inpe.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages309-314
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-14 16:54:01 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:41:40 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:41 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:29 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:55 :: marciana -> administrator :: 2012
2020-10-01 15:57:30 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsflood pulse
wetlands
multi-temporal analysis
object-based image analysis
synthetic aperture radar
Kyoto & Carbon Initiative
AbstractThe lower Amazon River floodplain is subject to large seasonal variations in water level, which associated with the flat topography, result in significant variation in flood extent throughout the year. Synthetic Aperture Radar (SAR) data offers a good choice for mapping the flooded area in these wetlands, given its ability to provide timely and continuous information without being strongly affected by cloud cover and atmospheric conditions. As part of JAXA's Kyoto & Carbon Initiative, wide-swath, multi-temporal coverage of the Amazon basin has been obtained using the ScanSAR mode of ALOS PALSAR. One of the largest limitations of radar automated classification is the occurrence of speckle noise. Furthermore, the dynamic nature of the floodplain environment demands the use of advanced methods, capable of integrating multiple sources and scales of information. This study tests the applicability of object-based image analysis for monitoring flood extent changes as a function of river stage height, using ALOS ScanSAR images for the Curuai Lake floodplain. This study area is located at the lower Amazon River near the city of Óbidos (Pará State, Brazil). Seven ScanSAR scenes were acquired during the 2007 flood pulse. Water level records from two gauge stations (Curuai and Óbidos), field photographs collected during the rising water period of 2011 and optical images (Landsat-5/TM and MODIS/Terra and Aqua) were also used. A data mining algorithm allowed the identification of thresholds, later used to implement a hierarchical object-based classification algorithm to map the flooding status in the study area for all available dates. The accuracy of the classification was assessed for the first three hierarchical classification levels, as well as for flooding status. Levels 1 and 2 (one land cover map for the entire time series) had overall accuracies of 90% and 83%, respectively. Level 3 classifications (one map per date) were validated only for the lowest and highest water stages, with overall accuracies of 78% and 80%, respectively. Flooding status was mapped with 88% and 90% accuracies for the low and high water stages, respectively.
AreaSRE
TypeAquatic and Coastal Ecossystems
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Flood extent monitoring...
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/8JMKD3MGP8W/3BSRHFB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BSRHFB
Languageen
Target File087.pdf
User Groupadministrator
marciana
wanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D52UD2
Repositorydpi.inpe.br/plutao/2012/11.28.12.54
Last Update2013:01.30.12.37.56 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.12.54.23
Metadata Last Update2018:06.05.00.01.53 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.5194/isprsarchives-XXXIX-B8-339-2012
ISBN2194-9050
2194-9042
ISSN1682-1777
Labellattes: 3334663396882053 1 RissoRudAdaAguFre:2012:MOTISE
Citation KeyRissoRudAdaAguFre:2012:MoTiSe
TitleModis time series for land use change detection in fields of the amazon soy moratorium
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size1361 KiB
2. Context
Author1 Risso, Joel
2 Rudorff, Bernardo Friedrich Theodor
3 Adami, Marcos
4 Aguiar, Ana Paula Dutra
5 Freitas, Ramon Morais de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGKP
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 CST-CST-INPE-MCTI-GOV-BR
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 risso@dsr.inpe.br
EditorH., Shimoda
M., Shortis
e-Mail Addressrisso@dsr.inpe.br
Conference NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
Conference LocationMelbourne
Date25 Aug. 01 Sept. 2012
Volume39-B8 - XXII ISPRS
Pages339-344
Book TitleProceedings
OrganizationESRI; Hexagon; RMIT University, School of Mathematical and Geospatial Sciences
Secondary MarkB4_INTERDISCIPLINAR
History (UTC)2012-11-28 23:06:19 :: lattes -> marciana :: 2012
2012-12-21 13:00:12 :: marciana -> administrator :: 2012
2013-01-30 12:14:31 :: administrator -> marciana :: 2012
2013-01-30 12:37:56 :: marciana -> administrator :: 2012
2016-06-04 01:08:07 :: administrator -> marciana :: 2012
2016-10-11 00:14:59 :: marciana -> administrator :: 2012
2018-06-05 00:01:53 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAgriculture
Crops
Cultivation
Geometry
Land use
Photogrammetry
Pixels
Radiometers
Remote sensing
Space optics
Space research
Time series
Trajectories
Vegetation
Degraded forests
Enhanced vegetation index
Forest degradation
Land cover
Modis time series
Multi-temporal
Temporal profile
Vegetation index
Forestry
AbstractA virtual globe to visualize time series of pixels from the MODIS sensor over the South American continent is available in the Internet and was developed at the Brazilian Institute for Space Research. The MODIS images acquired since the year 2000 were transformed to a vegetation index (EVI2, two-band Enhanced Vegetation Index) with pixel size of 250 m. This study aims to use these time series to identify land use changes (LUC) based on the temporal profile of EVI2 values of deforested polygons between 2007 and 2011 within the context of the Soy Moratorium. Deforested polygons were divided in two strata: with and without soy in crop year 2010/11. From the MODIS/EVI2 time series the following classes were identified: forest, degraded forest, total clearing of the area, regrowth of forest, regrowth with pasture, pasture, agriculture, and soy. For stratum 1, the dominant LUC trajectory was: forest degradation regrowth / regrowth with pasture. In the second stratum we observed two main LUC trajectories: 1) forest degraded forest total clearing of the area annual crop (rice) soy; and 2) forest total clearing of the area annual crop (rice) soy. For most samples of stratum 2 the LUC trajectory was agriculture (e.g., rice) between total clearing and soy cultivation. These patterns occurred on average over two harvests, which may be considered the necessary time for soil correction and total removal of above ground stumps and roots to enable mechanized soy harvesting. The fast evaluation of one hundred polygons during 11 years was only possible due to the virtual globe to visualize the MODIS time series that proved to be an important tool to improve the understanding of LUC dynamics in the Amazon region. Conference Paper (PDF, 1360 KB) Citation: Risso, J., Rudorff, B. F. T., Adami, M., Aguiar, A. P. D., and Freitas, R. M.: MODIS TIME SERIES FOR LAND USE CHANGE DETECTION IN FIELDS OF THE AMAZON SOY MORATORIUM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 339-344, doi:10.5194/isprsarchives-XXXIX-B8-339-2012, 2012. Bibtex EndNote Reference Manager XML.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Modis time series...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Modis time series...
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/J8LNKAN8RW/3D52UD2
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3D52UD2
Languageen
User Groupadministrator
lattes
marciana
Reader Groupadministrator
marciana
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3T29H
URL (untrusted data)www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/339/2012/
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition format lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder secondarydate serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type
7. Description control
e-Mail (login)marciana
update 

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3D52TUS
Repositorydpi.inpe.br/plutao/2012/11.28.12.49
Last Update2013:01.17.17.20.01 (UTC) marciana
Metadata Repositorydpi.inpe.br/plutao/2012/11.28.12.49.19
Metadata Last Update2018:06.05.00.01.52 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1109/IGARSS.2012.6352558
ISBN978-1-4673-1158-8
978-1-4673-1160-1
ISSN2153-6996
Labellattes: 3424967077020409 1 CardozoPereShimMora:2012:AMFO
Citation KeyCardozoPereShimMora:2012:AmFo
TitleValidation of modis mcd45a1 product to identify burned areas in acre state - amazon forest
FormatDVD
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size2287 KiB
2. Context
Author1 Cardozo, Francielle da Silva
2 Pereira, Gabriel
3 Shimabukuro, Yosio Edemir
4 Moraes, Elisabete Caria
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJCQ
4 8JMKD3MGP5W/3C9JH24
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
4 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 cardozo@dsr.inpe.br
e-Mail Addresscardozo@dsr.inpe.br
Conference NameIEEE International Geoscience and Remote Sensing Symposium, 32 (IGARSS).
Conference LocationMunich
Date22-27 July 2012
Pages6741-6744
Book TitleProceedings
Tertiary TypePaper
OrganizationGeoscience and Remote Sensing Society (GRS)
History (UTC)2012-11-28 23:06:19 :: lattes -> marciana :: 2012
2013-01-17 17:20:01 :: marciana -> administrator :: 2012
2016-06-04 01:08:07 :: administrator -> marciana :: 2012
2016-08-19 14:07:18 :: marciana -> administrator :: 2012
2018-06-05 00:01:52 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsEarth
Fires
MODIS
Remote sensing
Satellites
Sensors
Spatial resolution
Environmental factors
remote monitoring
remote sensing
vegetation mapping
AbstractBurned areas map is essential in many applications and the orbital sensors have been used to monitor fires for many years, providing a better understanding of processes at different scales and being the only practical technique to estimate fires in large areas. However, remote sensing methods have limitations that could cause errors in the final products. Therefore, the objective of this work is to evaluate the MCD45A1 burned area product derived from MODIS sensor in Amazon tropical forest by comparing this dataset with the reference data derived from the mapping of burned areas in Acre State/Brazil acquired by TM sensor aboard of Landsat 5 and with a fieldwork that took place in November 2011. The results showed that de MCD45A1 product presented 93% of omission errors in 2010 and 96% in 2011 year in relation to reference data, presenting a low confidence in identifying the burned areas in Amazon region.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção > DIDSR > Validation of modis...
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/J8LNKAN8RW/3D52TUS
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3D52TUS
Languageen
Target File06352558-1.pdf
User Grouplattes
marciana
Reader Groupadministrator
marciana
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationIEEEXplore
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel edition editor lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
7. Description control
e-Mail (login)marciana
update 

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C6433H
Repositorydpi.inpe.br/plutao/2012/06.21.20.31
Last Update2012:08.23.11.28.18 (UTC) secretaria.cpa@dir.inpe.br
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.20.31.40
Metadata Last Update2018:06.05.00.01.48 (UTC) administrator
ISBN97898728177
Labellattes: 7413318739396387 3 AzevedoTavBasZubAnd:2012:EsPrCi
Citation KeyAzevedoTavBasZubAnd:2012:EsPrCi
TitleIlhas de calor e aedes aegypti: um estudo preliminar para a cidade de Santa Bárbara d'Oeste, SP-Bra, utilizando sensoriamento remoto
FormatPapel
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size1211 KiB
2. Context
Author1 Azevedo, Thiago Salomão de
2 Tavares, Antônio Carlos
3 Bastos, Vanessa da Silva Brum
4 Zuben, Claudio José Von
5 André, Iara Regina Nocentini
Group1
2
3 DSR-OBT-INPE-MCTI-GOV-BR
4
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Núcleo de Pesquisa sobre Desastres - NUPED - UNESP
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3 vsbrumb@gmail.com
e-Mail Addressvsbrumb@gmail.com
Conference NameCongreso Latinoamericano de Ecología Urbana: Desafíos y escenarios de desarrollo para las ciudades latinoamericanas, 1.
Conference LocationBuenos Aires Buenos Aires
Date2012
Pages174-185
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2012-06-22 00:11:00 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-08-23 11:28:18 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2018-06-05 00:01:48 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsUrban Heat Islands
Aedes aegypti
Remote Sensing
Santa Bárbara d’Oeste
AbstractO crescimento das áreas urbanas tem alterado as condições climáticas das cidades. Muitos estudos sugerem que tais modificações têm proporcionado o aquecimento do ar superficial incitando o fenômeno de ilhas de calor. As modificações no criptoclima modificam os níveis de interação entre os componentes do sistema urbano, pois permite o incremento de um ambiente sinantrópico, que favorece a proliferação de criadouros de mosquitos. A presença do Aedes aegypti, em áreas urbanas, tem causado muitas epidemias de dengue. Esta espécie de culicídeo é considerada o principal vetor urbano desta arbovirose. Pesquisas realizadas apontam que as populações de Aedes aegypti, possuem uma relação com a temperatura da superfície, pois a mesma interfere no seu ciclo de vida. O seu desenvolvimento é limitado pela temperatura, abaixo de 10 ºC o mosquito não sobrevive, entre 20 º e 40 ºC, as pupas se desenvolvem para o indivíduo adulto e acima de 40 ºC os adultos encontram o limite máximo térmico de sobrevivência. Mediante aos apontamentos citados acima, o objetivo deste trabalho foi verificar a influência das ilhas de calor na existência de criadouros de Aedes aegypti, na cidade de Santa Bárbara dOeste, Estado de São Paulo, Brasil. A metodologia empregada no desenvolvimento desta pesquisa foi primeiramente coligar o período em que houve a maior freqüência de criadouros de mosquitos. De acordo com o levantamento do Centro de Zoonoses (CCZ), da Prefeitura Municipal de Santa Bárbara dOeste, o período que apresentou à maior número de ocorrências foi de 3 a 9 de Agosto de 2004. Após esta identificação, a imagem Landsat 5, foi selecionada e no SIG Spring, foi calculada os valores das temperaturas aparentes superficiais, do núcleo urbano, através da transformação dos níveis de cinza da imagem. Em seguida foram georreferenciados os criadouros de Aedes aegypti e efetuadas as correlações com a temperatura aparente do ar superficial. Os resultados mostram que apesar dos registros de temperatura mínima média ser de 10,9 ºC, para o período estudado, a amplitude da temperatura da superfície do ar na cidade variou cidade variou entre 20º a 32º C. A freqüência de criadouros de Aedes aegypti foi de 7.14% em locais com temperaturas superficiais entre 24o a 25o C, de 21,42 % entre 25º a 26º C, de 28,59 %entre 27º e 28º C e de 42,85 % entre 28º a 29º C. Estes resultados demonstram que a ocorrência de ilhas de calor modifica o criptoclima urbano, sustentando condições para o desenvolvimento desta espécie de mosquito, mesmo em períodos climáticos adversos. ABSTRACT: The growing of urbanization of urban areas has changed the climate of cities. Many studies suggest that these changes have had provided the warming of surface air and started the phenomenon of heat islands. Changes in the local clime modify the levels of interaction between the components of the urban system as it allows an increase of synanthropic environment that favors the proliferation of the mosquito breeding. The presence of the Aedes aegypti in urban areas has caused many outbreaks of dengue. This species of mosquitoes is considered the principal urban vector this disease. Surveys showed that populations Aedes aegypti have a relationship with the surface temperature, because it interferes with the life cycle. Its development is limited by temperature below 10o C were the mosquito does not survive, between 20 and 40o C, the pupae was developed for the adult and above 40° C, adults have the maximum heat survival. Through the notes mentioned above, the objective of this study was to investigate the influence of heat islands in the existence of breeding sites of Aedes aegypti, in Santa Barbara d'Oeste, Sao Paulo State, Brazil. The methodology employed on this research was to gather first period when there was a higher frequency of mosquito. According to the survey of the Center for Zoonoses (CCZ), for the City of Santa Barbara d'Oeste, the period with the highest number of occurrences was 3 to 9 August 2004. After this identification, the image of Landsat 5 sensor, was selected and in the Spring GIS, we calculated the values of the surface temperatures of the urban land use, through the transformation of gray level image. They were then georeferenced breeding sites of Aedes aegypti and made correlations with surface air temperature. The results showed that despite the record minimum temperature average is of 10.9° C, for the period studied, the variation of the surface temperature of the air in the city ranged from 26 to 40o C. The frequency of breeding sites of Aedes aegypti was 12.5% in areas with surface temperatures between 30 and 32o C, 25% between 34 to 36o C and 62.5% from 32 to 34o C. These results demonstrated that the occurrence of heat islands modifies the urban clime and provides the development of this mosquito species, even in adverse climatic periods.
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Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
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ISBN9788541500364
Labellattes: 4132788996564701 1 BarrosCASTBeld:2012:SyPlIm
Citation KeyBarrosCastBeld:2012:SyPlIm
TitleA systematic planning for improvements in a program of urban food haverst, using the new configuration of Soft Systems Methodology
FormatDVD
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size486 KiB
2. Context
Author1 Barros, Priscila Renata Silva
2 Castellini, María Alejandra
3 Belderrain, Mischel Carmen Neyra
Group1 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 National University of Salta
3 Aeronautical Institute of Technology
Author e-Mail Address1 prirenata@gmail.com
2 macn@arnet.com.ar
3 carmen@ita.br
e-Mail Addressprirenata@gmail.com
Conference NameGroup Decision and Negotiation (GDN), 12
Conference LocationRecife
Date20-24 May 2012
PublisherEd. Universitária da UFPE
Volume2
Pages289-298
Book TitleProceedings
Tertiary TypeArtigo
History (UTC)2012-06-22 00:11:00 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-10-08 14:46:35 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2018-06-05 00:01:47 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
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Content TypeExternal Contribution
KeywordsProblem Structuring
Soft Systems Methodology
Urban food haverst
AbstractThe problem addressed by this article is to combat malnutrition and reducing food waste through the collection and distribution of food that even in perfect conditions of use will be discarded by low commercial value. The objective of this paper is to present an improvement to the process of urban harvest food. To achieve this goal was an action research carried out by using a configuration of Soft Systems Methodology. This methodology has proved to be able to structure the process of gathering information in a scenario with multiple involved, enabling the systematic planning of actions. This procedure was used in a real case, a single unit of a mixed organization that develops, together with similar units in 350 cities met in Brazil, one of the largest programs of sampling and urban distribution of perishable foods, in our country. To this end, collects food donors, sorts them and then distributes in social institutions. Our expectation is that the results of the application will contribute to the dissemination of the model, helping to reduce hunger, a complex social problem.
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6. Notes
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Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63QGL
Repositorydpi.inpe.br/plutao/2012/06.21.19.24
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DOI10.1109/EORSA.2012.6261142
ISBN9781467319461
Labellattes: 1861914973833506 2 LeonardiAlFoToAlOL:2012:ElAcAs
Citation KeyLeonardiAlFoToAlOl:2012:ElAcAs
TitleElevation Accuracy Assessment of a DSM and DTM Generated for an Urban Area from the ALTM 2025 Airborne Laser Scanning Sensor
FormatOn-line
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size501 KiB
2. Context
Author1 Leonardi, Fernando
2 Almeida, Cláudia Maria de
3 Fonseca, Leila Maria Garcia
4 Tomás, Lívia Rodrigues
5 Albuquerque, Paulo Cesar Gurgel de
6 Oliveira, Cleber Gonzáles de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
3 8JMKD3MGP5W/3C9JHLD
Group1
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
4
5 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Geopixel Geotechnologies Consulting and Service Ltda., São José dos Campos, SP, Brazil
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Geopixel Geotechnologies Consulting and Service Ltda., São José dos Campos, SP, Brazil
Author e-Mail Address1
2 almeida@dsr.inpe.br
e-Mail Addressalmeida@dsr.inpe.br
Conference NameInternational Workshop on Earth Observation and Remote Sensing Applications, 2 (EORSA).
Conference LocationShangai
Date8-11 June 2012
PublisherPeking University
Pages91-95
Book TitleProceedings
Tertiary TypePaper
History (UTC)2012-06-22 00:11:00 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2013-01-21 12:34:52 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2016-06-04 01:08:03 :: administrator -> marciana :: 2012
2016-10-11 19:31:06 :: marciana -> administrator :: 2012
2018-06-05 00:01:46 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAccuracy analysis
Accuracy assessment
Accuracy test
Airborne Laser scanning
Algebraic manipulations
Class A
Control point
Digital elevation model
Digital surface models
Digital terrain model
Laser scanning
Precision analysis
Scientific literature
Statistical significance
Trend analysis
Urban areas
Laser applications
Mapping
Observatories
Optical radar
Remote sensing
Statistical tests
Surveying
AbstractThe assessment of elevation accuracy of digital elevation models (DEM), which comprise digital surface models (DSM) and digital terrain models (DTM), has become a recurrent theme in the scientific literature in the latest decades. Accuracy tests are specifically based on a 10% level of statistical significance and they comprise both trend and precision analyses. Both tests were applied to data obtained from an air survey accomplished with the ALTM 2025 laser scanning sensor for a central sector of Uberlandia city, Brazil. The statistical tests for the DSM and DTM demonstrated that the mean elevation error respectively lay around 0,41 m and 0,48 m, and the RMSE about 0,48 m and 0,47 m. In both cases, the presence of trend in the H direction was observed, revealing systematic influences in this component. This trend was further removed by means of algebraic manipulations. The precision analysis revealed that the DSM and DTM were compatible with a 1:5,000 scale and were up to the standard of the highest cartographic accuracy category (class A - PEC).
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Elevation Accuracy Assessment...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Elevation Accuracy Assessment...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3C63QGL
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3C63QGL
Languageen
Target FileLeonardi_et_al_2012EORSA.pdf
User Grouplattes
secretaria.cpa@dir.inpe.br
Reader Groupadministrator
marciana
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5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
URL (untrusted data)http://www.eorsa2012.org/program.html
DisseminationCOMPENDEX
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico, Administração pública, defesa e seguridade social.
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel edition editor issn lineage mark mirrorrepository nextedition numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject type volume
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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BTG9QS
Repositorysid.inpe.br/mtc-m18/2012/05.18.17.46
Last Update2012:05.18.17.46.57 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18/2012/05.18.17.46.57
Metadata Last Update2018:06.04.03.55.42 (UTC) administrator
ISBN978-85-17-00059-1
Citation KeySouzaKux:2012:UsWoIm
TitleUse of WorldView-II images and the knowledge-based software InterIMAGE for the classification of land cover in an urban area
FormatOn-line.
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size995 KiB
2. Context
Author1 Souza, Ulisses Denache Vieira
2 Kux, Hermann Johann Heinrich
Resume Identifier1
2 8JMKD3MGP5W/3C9JHCD
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 undefined
2 undefined
Author e-Mail Address1 ulisses@dsr.inpe.br
2 hermann@ltid.inpe.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages228-233
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-18 17:46:57 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:46:36 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:26 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:32 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:42 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsWorldView-2
High-resolution images
Land Cover
Object-based Image Analysis
Urban area
AbstractThe objective of this study is to evaluate the potential of WorldView-2 satellite images and the free-access software InterIMAGE to map land cover in an urban coastal area. For the execution of this study, statistical data, information from public institutions and partner companies at this project, were used. Furthermore the following materials were utilized: 1. WorldView-2 satellite scenes obtained in June 10th 2010, with 16º off-nadir angle, and 11 bit radiometric resolution, delivered by Digitalglobe; 2. Vector files of city blocks from the databank, from the Project called São Luis: reading the city; 3. Ground Control Points (GCP) in vector format, with 1 m equidistance, for the area corresponding to the municipality of São Luis, collected during field survey in August 2011, with TOPCON Hiper Geodetic GPS equipments; 4. Level curves in vector format from the area of São Luis municipality. The thematic maps were generated from both test sites using InterIMAGE v 1.27 software. It allowed a supervised analysis of the different attributes and to define the best ones and respective thresholds for the classification. The results of these classifications were verified by a confusion matrix. It is concluded that WorldView-2 images ease the identification of urban targets due to its new spectral bands, emphasizing its use for the discrimination of different vegetation types. InterIMAGE allowed a fast classification of image attributes and to use the image texture tool to improve the discrimination of classes.
AreaSRE
TypeUrban Applications
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Use of WorldView-II...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP8W/3BTG9QS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BTG9QS
Languageen
Target File066.pdf
User Groupadministrator
marciana
wanderf@dsr.inpe.br
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Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
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6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BTG99B
Repositorysid.inpe.br/mtc-m18/2012/05.18.17.39
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ISBN978-85-17-00059-1
Citation KeyCarvalhoKuxFlor:2012:UrLaCo
TitleUrban land cover classification with Worldview-2 images using Data mining and Object-based image analysis
FormatOn-line.
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size1056 KiB
2. Context
Author1 Carvalho, Marcus
2 Kux, Hermann Johann Heinrich
3 Florenzano, Teresa Gallotti
Resume Identifier1
2 8JMKD3MGP5W/3C9JHCD
3 8JMKD3MGP5W/3C9JJ9T
Group1
2 DSR-OBT-INPE-MCTI-GOV-BR
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1
2 undefined
3 undefined
Author e-Mail Address1 carvalho@dsr.inpe.br
2 hermann@dsr.inpe.br
3 teresa@dsr.inpe.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages431-436
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-18 17:39:42 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:46:31 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:26 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:32 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:42 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsRemote sensing
Data mining
Geographic object-based image analysis
Urban land cover
High spatial resolution satellite images
AbstractThe products available from new satellite sensor systems with high spatial resolution present a considerable potential for applications in urban areas. These datasets open new perspectives for the automatic extraction of information for environmental planning and management. However in order to get efficiently the information required, innovative concepts are necessary at both working phases: segmentation and discrimination of objects within the image. The objective of this study is to develop a methodology using OBIA and Data mining techniques to map land cover with WorldView-2 images in a western district of São Paulo municipality (Brazil). The Data mining techniques used were decision trees at algorithm C4.5 from the free software package WEKA, known as J48. It allows the system user to configure different functionalities which intervene at the final Data mining result, such as MinNumObj: the minimum number of instances (objects) by sheet. Through this functionality it is possible to control the size and complexity of the tree generated. In this study the performance of image classification obtained from two decision trees was evaluated, considering different MinNumObj. The statistical assessment indicated a good precision for both maps, with Kappa Indices of 0.7876 (MinNumObj: 25) and 0.8383 (MinNumObj: 2).
AreaSRE
TypeUrban Applications
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Urban land cover...
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/8JMKD3MGP8W/3BTG99B
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BTG99B
Languageen
Target File117.pdf
User Groupadministrator
marciana
wanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BTG75H
Repositorysid.inpe.br/mtc-m18/2012/05.18.17.13
Last Update2012:05.18.17.13.35 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18/2012/05.18.17.13.35
Metadata Last Update2018:06.04.03.55.42 (UTC) administrator
ISBN978-85-17-00059-1
Citation KeyMeneghettiRodr:2012:ObClUr
TitleObject-oriented classification in urban areas using GeoDMA plugin
FormatOn-line.
Year2012
Access Date2023, Jan. 31
Secondary TypePRE CI
Number of Files1
Size540 KiB
2. Context
Author1 Meneghetti, Graziela
2 Rodrigues, Carina de Sousa
Group1 DSR-OBT-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 undefined
2 undefined
Author e-Mail Address1 grazitm@dsr.inpe.br
2 carina@dsr.inpe.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages412-415
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-18 17:13:35 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:46:18 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:26 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:32 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:42 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsland use
WorldView-2
urban planning
AbstractThe present study used the GeoDMA plug-in associated with the software Terra View and images from the optic sensor WorldView-2 to realize the land use and land cover classification in a test area of the city of São Luis (MA). Through GeoDMA, image segmentation through Region Growing algorithm was performed, which indicated better results before the realized tests. Further on, the spectral and form features permitted by the software were extracted for the 8 used bands. The collection of the same number of samples for each of the defined classes on the image permitted the decision tree algorithm C4.5 to realize the classification of the image. The methodology proposed is efficient for the classification of complex urban areas in high resolution images once the classification resulted in a Kappa index of 0,72. The present study approached the functionalities of the GeoDMA plug-in presenting potentialities for object oriented classification.
AreaSRE
TypeUrban Applications
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Object-oriented classification in...
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/8JMKD3MGP8W/3BTG75H
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BTG75H
Languageen
Target File113.pdf
User Groupadministrator
marciana
wanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume