| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34T/4A76Q8B | |||
| Repository | sid.inpe.br/mtc-m21d/2023/11.10.12.33 (restricted access) | |||
| Last Update | 2023:11.10.12.33.04 (UTC) self-uploading-INPE-MCTI-GOV-BR | |||
| Metadata Repository | sid.inpe.br/mtc-m21d/2023/11.10.12.33.04 | |||
| Metadata Last Update | 2024:01.02.17.16.54 (UTC) administrator | |||
| DOI | 10.1016/j.rse.2023.113889 | |||
| ISSN | 0034-4257 | |||
| Label | self-archiving-INPE-MCTIC-GOV-BR | |||
| Citation Key | MacielPBMSOBSN:2023:ToGlLo | |||
| Title | Towards global long-term water transparency products from the Landsat archive  | |||
| Year | 2023 | |||
| Month | Dec. | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 17227 KiB | |||
| 2. Context | ||||
| Author | 1 Maciel, Daniel Andrade 2 Pahlevan, Nima 3 Barbosa, Cláudio Clemente Faria 4 Martins, Vitor S. 5 Smith, Brandon 6 O'Shea, Ryan E. 7 Balasubramanian, Sundarabalan V. 8 Saranathan, Arun M. 9 Novo, Evlyn Márcia Leão de Moraes | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JGSB 4 5 6 7 8 9 8JMKD3MGP5W/3C9JH39 | |||
| Group | 1 DIOTG-CGCT-INPE-MCTI-GOV-BR 2 3 DIOTG-CGCT-INPE-MCTI-GOV-BR 4 5 6 7 8 9 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 NASA Goddard Space Flight Center (GSFC) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Mississippi State University 5 NASA Goddard Space Flight Center (GSFC) 6 NASA Goddard Space Flight Center (GSFC) 7 Goddard Earth Sciences Technology and Research (GESTAR) 8 NASA Goddard Space Flight Center (GSFC) 9 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 daniel.maciel@inpe.br 2 3 claudio.barbosa@inpe.br 4 5 6 7 8 9 evlyn.novo@inpe.br | |||
| Journal | Remote Sensing of Environment | |||
| Volume | 299 | |||
| Pages | e113889 | |||
| Secondary Mark | A1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE | |||
| History (UTC) | 2023-11-10 12:33:04 :: simone -> administrator :: 2023-11-10 12:33:06 :: administrator -> simone :: 2023 2023-11-10 12:33:51 :: simone -> administrator :: 2023 2023-12-18 23:44:58 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2023 2023-12-19 01:55:18 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2023 2024-01-02 17:16:54 :: administrator -> simone :: 2023 | |||
| 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 | Landsat Machine learning Secchi disk depth Time-series analysis Water quality Water transparency | |||
| Abstract | Secchi Disk Depth (Zsd) is one of the most fundamental and widely used water-quality indicators quantifiable via optical remote sensing. Despite decades of research, development, and demonstrations, currently, there is no operational model that enables the retrieval of Zsd from the rich archive of Landsat, the long-standing civilian Earth-observation program (1972 present). Devising a robust Zsd model requires a comprehensive in situ dataset for testing and validation, enabling consistent mapping across optically varying global aquatic ecosystems. This study utilizes Mixture Density Networks (MDNs) trained with a large in situ dataset (N = 5689) from 300+ water bodies to formulate and implement a global Zsd algorithm for Landsat sensors, including the Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) aboard Landsat-5, -7, -8, and -9, respectively. Through an extensive Monte Carlo cross-validation with in situ data, we showed that MDNs improved Zsd retrieval when compared to other commonly used machine-learning (ML) models and recently developed semi-analytical algorithms, achieving a median symmetric accuracy (ε) of ∼29% and median bias (β) of ∼3%). A fully trained MDN model was then applied to atmospherically corrected Landsat data (i.e., remote sensing reflectance; Rrs) to both further validate our MDN-estimated Zsd products using an independent global satellite-to-in situ matchup dataset (N = 3534) and to demonstrate their utility in time-series analyses (1984 present) via selected lakes and coastal estuaries. The quality of Rrs products rigorously assessed for the Landsat sensors indicated sensor-/band-dependent ε ranging from 8% to 37%. For our Zsd products, we found ε ∼ 39% and β ∼ 8% for the Landsat-8/OLI matchups. We observed higher errors and biases for TM and ETM+, which are explained by uncertainties in Rrs products induced by uncertainties in atmospheric correction and instrument calibration. Once these sources of uncertainty are, to the extent possible, characterized and accounted for, our developed model can then be employed to evaluate long-term trends in water transparency across unprecedented spatiotemporal scales, particularly in poorly studied regions of the world in a consistent manner. | |||
| Area | SRE | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > LabISA > Towards global long-term... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Towards global long-term... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | 1-s2.0-S0034425723004406-main.pdf | |||
| User Group | simone | |||
| Reader Group | administrator self-uploading-INPE-MCTI-GOV-BR simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher allowfinaldraft24 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/439EAFB 8JMKD3MGPCW/46KUATE | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.43.57 4 sid.inpe.br/bibdigital/2022/04.03.22.23 3 sid.inpe.br/bibdigital/2020/09.18.00.06 3 | |||
| Dissemination | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||