| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3AFLESE |
| Repository | dpi.inpe.br/plutao/2011/09.22.19.23 (restricted access) |
| Last Update | 2011:10.13.12.22.01 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/plutao/2011/09.22.19.23.13 |
| Metadata Last Update | 2018:06.05.00.01.30 (UTC) administrator |
| ISSN | 1983-8409 2177-8833 |
| Label | lattes: 7514918598084999 9 FreitasAAFYSRAR:2011:ViOfMO |
| Citation Key | FreitasAAFYSRAR:2011:ViMOEV |
| Title | Virtual laboratory of remote sensing time series: visualization of MODIS EVI2 data set over South America  |
| Year | 2011 |
| Access Date | 2024, May 04 |
| Secondary Type | PRE PN |
| Number of Files | 1 |
| Size | 5952 KiB |
| 2. Context | |
| Author | 1 Freitas, Ramon Morais de 2 Arai, Egidio 3 Adami, Marcos 4 Ferreira, A. S. 5 Yuzo, Fernando 6 Shimabukuro, Yosio Edemir 7 Rosa, Reinaldo Roberto 8 Anderson, Liana Oighenstein 9 Rudorff, Bernardo Friedrich Theodor |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGUP 3 4 5 6 8JMKD3MGP5W/3C9JJCQ 7 8JMKD3MGP5W/3C9JJ5D 8 9 8JMKD3MGP5W/3C9JGKP |
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR 5 DSR-OBT-INPE-MCT-BR 6 DSR-OBT-INPE-MCT-BR 7 LAC-CTE-INPE-MCT-BR 8 9 DSR-OBT-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) 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 2University of Oxford, Environmental Change Institute – ECI, Oxford, UK. 9 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 2 3 4 5 6 7 8 9 bernardo@ltid.inpe.br |
| e-Mail Address | bernardo@ltid.inpe.br |
| Journal | Journal of Computational Interdisciplinary Sciences |
| Volume | 2 |
| Number | 1 |
| Pages | 57-64 |
| Secondary Mark | B3_ENGENHARIAS_II B5_INTERDISCIPLINAR |
| History (UTC) | 2011-09-23 14:11:21 :: lattes -> secretaria.cpa@dir.inpe.br :: 2011 2011-10-13 12:32:14 :: secretaria.cpa@dir.inpe.br -> banon :: 2011 2011-11-18 18:26:12 :: banon -> secretaria.cpa@dir.inpe.br :: 2011 2011-12-09 10:47:03 :: secretaria.cpa@dir.inpe.br -> administrator :: 2011 2018-06-05 00:01:30 :: administrator -> marciana :: 2011 |
| 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 | MODIS EVI2 wavelets transform time series analysis virtual globe land use and land cover changes forest agriculture South America instantaneous visualization |
| Abstract | Over the last ten years millions of gigabytes of MODIS (Moderate Resolution Imaging Spectroradiometer) data have been generated which is forcing the remote sensing users community to a new paradigm in data processing for image analysis and visualization of these time series. In this context this paper aims to present the development of a tool to integrate the 10 years time series of MODIS images into a virtual globe to support LULC change studies. Initially the development of a tool for instantaneous visualization of remote sensing time series within the concept of a virtual laboratory framework is described. The virtual laboratory is composed by a data set with more than 500 million EVI2 (Enhanced Vegetation Index 2) time series derived from MODIS 16-day composite data. The EVI2 time series were filtered with sensor ancillary data and Daubechies (Db8) orthogonal Discrete Wavelets Transform. Then EVI2 time series were integrated into the virtual globe using Google Maps and Google Visualization Application Programming Interface functionalities. The Land Use Land Cover changes for forestry and agricultural applications are presented using the proposed time series visualization tool. The tool demonstrated to be useful for rapid LULC change analysis, at the pixel level, over large regions. Next steps are to further develop the Virtual Laboratory of Remote Sensing Time Series Framework by extending this work for other geographical regions, incorporating new computational algorithms, testing data from other sensors and updating the MODIS time series. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Virtual laboratory of... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Virtual laboratory of... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | pt |
| Target File | freitas.pdf |
| User Group | administrator banon lattes secretaria.cpa@dir.inpe.br |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3ESGTTP |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Notes | Setores de Atividade: Agricultura, Pecuária, Produção Florestal, Pesca e Aqüicultura. |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |