| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m16b.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 8JMKD3MGPBW/TG4B9H |
| Repository | sid.inpe.br/mtc-m17@80/2007/03.09.12.43 (restricted access) |
| Last Update | 2009:03.25.20.28.34 (UTC) administrator |
| Metadata Repository | sid.inpe.br/mtc-m17@80/2007/03.09.12.43.38 |
| Metadata Last Update | 2022:03.05.04.15.31 (UTC) administrator |
| Secondary Key | INPE--PRE/ |
| DOI | 10.1016/j.envsoft.2009.02.013 |
| ISSN | 1364-8152 |
| Citation Key | AlcântaraBarSteNovShi:2009:ImSpUn |
| Title | Improving the spectral unmixing algorithm to map water turbidity Distributions  |
| Year | 2009 |
| Month | Sept. |
| Access Date | 2024, May 18 |
| Type of Work | journal article |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 1126 KiB |
| 2. Context | |
| Author | 1 Alcântara, Enner Herenio 2 Barbosa, Cláudio Clemente de Faria 3 Stech, José Luiz 4 Novo, Evlyn Márcia Leão de Moraes 5 Shimabukuro, Yosio Edemir |
| Resume Identifier | 1 2 3 4 5 8JMKD3MGP5W/3C9JJCQ |
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DPI-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR 5 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) |
| Author e-Mail Address | 1 enner@dsr.inpe.br 2 claudio@dpi.inpe.br 3 stech@dsr.inpe.br 4 evlyn@dsr.inpe.br 5 yosio@dsr.inpe.br |
| e-Mail Address | enner@dsr.inpe.br |
| Journal | Environmental Modelling and Software |
| Volume | 24 |
| Number | 9 |
| Pages | 1051-1061 |
| Secondary Mark | A1_CIÊNCIA_DA_COMPUTAÇÃO A2_ENGENHARIAS_I A1_ENGENHARIAS_III A2_GEOCIÊNCIAS A1_INTERDISCIPLINAR |
| History (UTC) | 2007-12-21 09:43:26 :: ennerha -> marciana :: 2009-03-25 19:36:56 :: marciana -> ennerha :: 2009-07-23 19:25:53 :: ennerha -> marciana :: 2010-03-09 15:49:07 :: marciana -> banon :: 2010-03-09 15:52:08 :: banon -> administrator :: 2010-05-11 02:41:20 :: administrator -> marciana :: 2011-12-06 10:21:38 :: marciana -> administrator :: 2016-06-04 21:39:20 :: administrator -> simone :: 2009 2016-10-04 16:51:52 :: simone -> administrator :: 2009 2022-03-05 04:15:31 :: administrator -> simone :: 2009 |
| 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 floodplain Fraction images Limnology Spatial error and lag Terra/MODIS images Atmospherics Banks (bodies of water) Biological materials Curve fitting Dissolution Organic compounds Photolithography Regression analysis Size distribution Spectrometers Surface mount technology Turbidity algorithm estimation method floodplain lake limnology mapping method MODIS reflectance turbidity Brazil Curuai Lake Para [Brazil] South America |
| Abstract | In this paper we evaluate the suitability of the spectral unmixing algorithm to map the turbidity in the Curuai floodplain lake and enhance its applicability using autocorrelation modelling. The Spectral Unmixing Model (SMM) was applied to a Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance (MOD09) image, taking in-situ measurements close to the acquisition date. Fraction images of inorganic matter-laden water, dissolved organic matter-laden water, and phytoplankton-laden water were generated by SMM, using 4 MODIS spectral bands (blue, green, red, and near infrared). These endmembers were selected based on the dominance of these components, which affect water turbidity. These fraction images allowed assessing the turbidity distribution in the study area but showing only places with high or low turbidity. The kernel estimation algorithm was then used to verify the spatial correlation among the in-situ measurement data. The occurrence of clusters suggests that there are different spatial water regimes. One spatial regression model was then compiled for each water regime, each of which presented a better turbidity estimation as opposed to the one derived from the Ordinary Least Square (OLS). The methodology applied was hence useful to analyze the spatial distribution of turbidity in the Curuai floodplain lake. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Improving the spectral... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Improving the spectral... |
| 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 | en |
| Target File | ENM&Soft.pdf |
| User Group | administrator ennerha banon administrator marciana |
| Reader Group | administrator simone |
| Visibility | shown |
| Archiving Policy | denypublisher denyfinaldraft24 |
| Read Permission | deny from all and allow from 150.163 |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/bibdigital/2013/09.13.21.11 2 |
| URL (untrusted data) | doi:10.1016/j.envsoft.2009.02.013 |
| Host Collection | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
| 6. Notes | |
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype |
| 7. Description control | |
| e-Mail (login) | simone |
| update | |