1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/3RAQSKP |
Repository | sid.inpe.br/plutao/2018/06.19.04.38 (restricted access) |
Last Update | 2018:06.20.15.48.48 (UTC) lattes |
Metadata Repository | sid.inpe.br/plutao/2018/06.19.04.38.27 |
Metadata Last Update | 2019:01.14.17.09.18 (UTC) administrator |
DOI | 10.1016/j.jag.2018.02.010 |
ISSN | 0303-2434 |
Label | lattes: 7484071887086439 1 AdamiBAFSERA:2018:SeVeTy |
Citation Key | AdamiBAFSERA:2018:SeVeTy |
Title | Seasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time series |
Year | 2018 |
Access Date | 2024, May 18 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 6161 KiB |
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2. Context | |
Author | 1 Adami, Marcos 2 Bernardes, Sérgio 3 Arai, Egidio 4 Freitas, Ramon M. 5 Shimabukuro, Yosio Edemir 6 Espírito-Santo, Fernando D. B. 7 Rudorff, Bernardo F. T. 8 Anderson, Liana O. |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JGUP 4 5 8JMKD3MGP5W/3C9JJCQ |
Group | 1 CRCRA-COCRE-INPE-MCTIC-GOV-BR 2 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 4 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 University of Georgia Athen 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Aerial Photography & Imaging Science 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Lancaster Environment Centre (LEC) 7 Agrosatélite Geotecnologia Aplicada Ltda 8 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) |
Author e-Mail Address | 1 marcos.adami@inpe.br 2 3 egidio.arai@inpe.br 4 5 yosio.shimabukuro@inpe.br |
Journal | International Journal of Applied Earth Observation and Geoinformation |
Volume | 69 |
Pages | 148-163 |
Secondary Mark | B1_GEOCIÊNCIAS |
History (UTC) | 2018-06-19 04:38:27 :: lattes -> administrator :: 2018-06-19 11:34:31 :: administrator -> lattes :: 2018 2018-06-19 12:45:54 :: lattes -> administrator :: 2018 2018-06-20 15:45:57 :: administrator -> lattes :: 2018 2018-06-20 15:48:49 :: lattes -> administrator :: 2018 2019-01-14 17:09:18 :: 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 | Vegetation dynamics Land cover Disturbance Phenology MODISSpectral mixing model Principal component analysis Time series |
Abstract | The development, implementation and enforcement of policies involving the rational use of the land and the conservation of natural resources depend on an adequate characterization and understanding of the land cover, including its dynamics. This paper presents an approach for monitoring vegetation dynamics using high-quality time series of MODIS surface reflectance data by generating fraction images using Linear Spectral Mixing Model (LSMM) over South America continent. The approach uses physically-based fraction images, which highlight target information and reduce data dimensionality. Further dimensionality was also reduced by using the vegetation fraction images as input to a Principal Component Analysis (PCA). The RGB composite of the first three PCA components, accounting for 92.9% of the dataset variability, showed good agreement with the main ecological regions of South America continent. The analysis of 21 temporal profiles of vegetation fraction values and precipitation data over South America showed the ability of vegetation fractions to represent phenological cycles over a variety of environments. Comparisons between vegetation fractions and precipitation data indicated the close relationship between water availability and leaf mass/chlorophyll content for several vegetation types. In addition, phenological changes and disturbance resulting from anthropogenic pressure were identified, particularly those associated with agricultural practices and forest removal. Therefore the proposed method supports the management of natural and non-natural ecosystems, and can contribute to the understanding of key conservation issues in South America, including deforestation, disturbance and fire occurrence and management. |
Area | SRE |
Arrangement 1 | urlib.net > DIDSR > Seasonality of vegetation... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Seasonality of vegetation... |
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 | adami_seasonality.pdf |
Reader Group | administrator lattes |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
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 8JMKD3MGPCW/3EUAE4H |
Citing Item List | sid.inpe.br/bibdigital/2013/09.13.21.11 2 sid.inpe.br/bibdigital/2013/10.03.18.52 1 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
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 e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup |
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7. Description control | |
e-Mail (login) | simone |
update | |
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