1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | J8LNKAN8RW/3AFKS9M |
Repository | dpi.inpe.br/plutao/2011/09.22.16.13.13 |
Last Update | 2011:10.10.13.18.11 (UTC) marciana |
Metadata Repository | dpi.inpe.br/plutao/2011/09.22.16.13.14 |
Metadata Last Update | 2018:06.05.00.01.23 (UTC) administrator |
DOI | 10.3390/rs3091943 |
ISSN | 2072-4292 |
Label | lattes: 1913003589198061 2 AraiShimPereVija:2011:AMuMu |
Citation Key | AraiShimPereVija:2011:MuMuTe |
Title | A multi-resolution multi-temporal technique for detecting and mapping deforestation in the Brazilian Amazon rainforest |
Year | 2011 |
Month | Set. |
Access Date | 2024, May 22 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 7277 KiB |
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2. Context | |
Author | 1 Arai, Egídio 2 Shimabukuro, Yosio Edemir 3 Pereira, Gabriel 4 Vijaykumar, Nandamudi Lankalapalli |
Resume Identifier | 1 8JMKD3MGP5W/3C9JGUP 2 8JMKD3MGP5W/3C9JJCQ 3 4 8JMKD3MGP5W/3C9JHTU |
Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 LAC-CTE-INPE-MCT-BR |
Affiliation | 1 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 Address | 1 2 yosio@ltid.inpe.br 3 gabriel@dsr.inpe.br 4 vijay@lac.inpe.br |
e-Mail Address | yosio@ltid.inpe.br |
Journal | Remote Sensing |
Volume | 3 |
Number | 9 |
Pages | 1943-1956 |
History (UTC) | 2011-09-23 14:11:15 :: lattes -> secretaria.cpa@dir.inpe.br :: 2011 2012-01-17 14:51:52 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011 2016-06-04 01:07:45 :: administrator -> marciana :: 2011 2016-08-19 13:24:39 :: marciana -> administrator :: 2011 2018-06-05 00:01:23 :: administrator -> marciana :: 2011 |
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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 | Amazon rain forest Amazonia Bootstrap technique Brazilian Amazon Cloud interference Computational resources Confidence interval Dynamic process Environment change High frequency High spatial resolution Image simulations LANDSAT LandSat 7 Landsat-7 (L7) Enhanced Thematic mapper plus (ETM+) Linear regression methods Linear spectral mixing models Moderate resolution imaging spectroradiometer Modis Multi-resolutions Multi-temporal Observed data Reference image Sensibility analysis Simulated images Spatial resolution T-tests Tropical deforestation |
Abstract | he analysis of rapid environment changes requires orbital sensors with high frequency of data acquisition to minimize cloud interference in the study of dynamic processes such as Amazon tropical deforestation. Moreover, a medium to high spatial resolution data is required due to the nature and complexity of variables involved in the process. In this paper we describe a multiresolution multitemporal technique to simulate Landsat 7 Enhanced Thematic Mapper Plus (ETM+) image using Terra Moderate Resolution Imaging Spectroradiometer (MODIS). The proposed method preserves the spectral resolution and increases the spatial resolution for mapping Amazon Rainfores deforestation using low computational resources. To evaluate this technique, sample images were acquired in the Amazon rainforest border (MODIS tile H12-V10 and ETM+/Landsat 7 path 227 row 68) for 17 July 2002 and 05 October 2002. The MODIS-based simulated ETM+ and the corresponding original ETM+ images were compared through a linear regression method. Additionally, the bootstrap technique was used to calculate the confidence interval for the model to estimate and to perform a sensibility analysis. Moreover, a Linear Spectral Mixing Model, which is the technique used for deforestation mapping in Program for Deforestation Assessment in the Brazilian Legal Amazonia (PRODES) developed by National Institute for Space Research (INPE), was applied to analyze the differences in deforestation estimates. The results showed high correlations, with values between 0.70 and 0.94 (p < 0.05, students t test) for all ETM+ bands, indicating a good assessment between simulated and observed data (p < 0.05, Z-test). Moreover, simulated image showed a good agreement with a reference image, originating commission errors of 1% of total area estimated as deforestation in a sample area test. Furthermore, approximately 6% or 70 km² of deforestation areas were missing in simulated image classification. Therefore, the use of Landsat simulated image provides better deforestation estimation than MODIS alone. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > A multi-resolution multi-temporal... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > A multi-resolution multi-temporal... |
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/J8LNKAN8RW/3AFKS9M |
zipped data URL | http://plutao.sid.inpe.br/zip/J8LNKAN8RW/3AFKS9M |
Language | en |
Target File | remotesensing-03-01943.pdf |
User Group | administrator lattes secretaria.cpa@dir.inpe.br |
Reader Group | administrator marciana |
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/3ER446E 8JMKD3MGPCW/3ESGTTP |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.56.50 1 |
Dissemination | SCIELO; COMPENDEX. |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | marciana |
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