1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/3RANG7P |
Repository | sid.inpe.br/plutao/2018/06.18.15.35 |
Last Update | 2019:07.17.17.32.54 (UTC) simone |
Metadata Repository | sid.inpe.br/plutao/2018/06.18.15.35.25 |
Metadata Last Update | 2019:07.17.17.32.55 (UTC) simone |
DOI | 10.3390/ecrs-2-05169 |
ISSN | 2072-4292 |
Label | lattes: 8734553235868564 1 DutraShimEsca:2018:DaMiUs |
Citation Key | DutraShimEsca:2018:DaMiUs |
Title | Data mining using NDVI time series applied to change detection |
Year | 2018 |
Access Date | 2024, May 22 |
Type of Work | conference paper |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 606 KiB |
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2. Context | |
Author | 1 Dutra, Andeise Cerqueira 2 Shimabukuro, Yosio Edemir 3 Escada, Maria Isabel Sobral |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJCQ 3 8JMKD3MGP5W/3C9JHRG |
Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 andeise.dutra@inpe.br 2 yosio.shimabukuro@inpe.br 3 isabel.escada@inpe.br |
Journal | Sciforum Electronic Conference Series |
Volume | 2 |
Number | 7 |
Pages | e05169 |
Secondary Mark | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I |
History (UTC) | 2018-06-18 15:35:25 :: lattes -> administrator :: 2018-06-19 11:34:28 :: administrator -> lattes :: 2018 2018-06-20 12:47:48 :: lattes -> administrator :: 2018 2019-01-14 17:09:17 :: administrator -> simone :: 2018 |
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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 | Land cover change deforestation GeoDMA semiarid Caatinga |
Abstract | Information about the land cover and land use of a region are fundamental in studies such as mapping of deforestation and forest degradation. Quantifying and monitoring woody cover distribution in semiarid regions is challenging, due to their scattered distribution. Data mining has been widely used in remote sensing data for information extraction of spectral and temporal data in the analysis of change detection. The main objective of this study was to characterize the land cover and land use over 2000-2010 time period for the Brazilian Caatinga seasonal biome using a temporal NDVI series and Geographic Object-Based Image Analysis. For each of the target years was obtained NDVI images derived from MODIS (MOD13Q1, at 250 m spatial and 16 day temporal scale) sensor during the dry season to predict wood cover in the municipality of Buriti dos Montes, in the state of Piauí, Northeast region of Brazil (H13V09 tile). The images were automatically pre-processed and in the GEOBIA approach was performed image segmentation, spatial and spectral attribute extraction and labelled according to the following legend: Tree Cover (TC) and Cropland/Grass (CG), to obtain a classification using the decision tree supervised algorithm. Our results showed that approach using GEOBIA presented Kappa Index of 0.58 and Global Accuracy (GA) of 0.81% and showed better accuracy for the Tree Cover. Finally, we recommend new studies using a higher spatial resolution data, as well as the addition of other parameters strongly related to vegetation of semiarid regions. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Data mining using... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Data mining using... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Data mining using... |
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 | |
data URL | http://plutao.sid.inpe.br/ibi/8JMKD3MGP3W/3RANG7P |
zipped data URL | http://plutao.sid.inpe.br/zip/8JMKD3MGP3W/3RANG7P |
Language | en |
Target File | Dats_Mining_Published_proceedings-02-00356.pdf |
User Group | lattes |
Reader Group | administrator lattes simone |
Visibility | shown |
Archiving Policy | allowpublisher allowfinaldraft |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 4 sid.inpe.br/bibdigital/2013/10.18.22.34 2 sid.inpe.br/bibdigital/2013/09.13.21.11 1 |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Notes | The 2nd International Electronic Conference on Remote Sensing (ECRS 2018), 22 March–5 April 2018; |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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