1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m12.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZGivnJRY/Np6d4 |
Repository | sid.inpe.br/mtc-m12@80/2006/12.08.16.06 (restricted access) |
Last Update | 2006:12.08.16.06.56 (UTC) marciana |
Metadata Repository | sid.inpe.br/mtc-m12@80/2006/12.08.16.06.57 |
Metadata Last Update | 2018:06.05.00.40.48 (UTC) administrator |
Secondary Key | INPE--PRE/ |
ISSN | 0099-1112 |
Citation Key | CarreirasPereShim:2006:LaMaBr |
Title | Land-cover mapping in the Brazilian Amazon using SPOT-4 vegetation data and machine learning classification methods |
Project | Sensoriamento Remoto Aplicado à Ecossistemas Terrestres |
Year | 2006 |
Month | Aug. |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 459 KiB |
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2. Context | |
Author | 1 Carreiras, João M. B. 2 Pereira, José M. C. 3 Shimabukuro, Yosio Edemir |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJCQ |
Group | 1 2 3 DSR-INPE-MCT-BR |
Affiliation | 1 Department of Forestry, Instituto Superior de Agronomic, Tapada da Ajuda, 1349-017 Lisboa, Portugal 2 Department of Forestry, Instituto Superior de Agronomic, Tapada da Ajuda, 1349-017 Lisboa, Portugal 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Journal | Photogrammetric Engineering and Remote Sensing |
Volume | 72 |
Number | 8 |
Pages | 897-910 |
History (UTC) | 2006-12-08 16:06:57 :: yosio -> simone :: 2007-04-20 12:06:07 :: simone -> administrator :: 2014-08-18 22:06:16 :: administrator -> marciana :: 2006 2016-08-17 17:03:06 :: marciana -> administrator :: 2006 2018-06-05 00:40:48 :: administrator -> marciana :: 2006 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | VEGETAÇÃO remotely-sensed data decision-tree classification resolution satellite data spatial-resolution accuracy assessment avhrr data multispectral data tropical regions eastern amazon mixing models |
Abstract | The main objective of this study is to evaluate the feasibility of deriving a land-cover map of the state of Mato Grosso, Brazil, for the year 2000, using data from the 1 km SPOT-4 VEGETATION (VGT) sensor. For this purpose we used a VGT temporal series of 12 monthly composite images, which were further transformed to physicalmeaningful fraction images of vegetation, soil, and shade. Classification of fraction images was implemented using several recent machine learning developments, namely, filtering input training data and probability bagging in a classification tree approach. A 10-fold cross validation accuracy assessment indicates that filtering and probability bagging are effective at increasing overall and class-specific accuracy. Overall accuracy and mean probability of class membership were 0.88 and 0.80, respectively. The map of probability of class membership indicates that the larger errors are associated with cerrado savanna and semi-deciduous forest. |
Area | SRE |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Land-cover mapping in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Language | en |
Target File | Carreiras_etal_PERS2006.pdf |
User Group | administrator simone yosio |
Reader Group | administrator marciana |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3ER446E |
Dissemination | WEBSCI |
Host Collection | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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