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| Sabia, Roberto; Camps, A; Vall Ilossera, M; Reul, Nicolas. |
| Aiming to provide sea surface salinity (SSS) maps with a spatiotemporal averaged accuracy of 0.1 psu (practical salinity units), the Soil Moisture and Ocean Salinity (SMOS) community is increasingly focusing on the determination of a robust inversion scheme to enable SSS retrieval from L-band brightness temperature data. In the framework of the Synergetic Aspects and Auxiliary Data Concepts for Sea Surface Salinity Measurements from Space project, efforts have been oriented toward a quantitative analysis of SSS retrieval using different auxiliary data sets. This paper aims to contribute to the assessment of the SMOS salinity retrieval error budget in view of the upcoming SMOS mission ground segment development. Aiming to do that, different models and... |
| Tipo: Text |
Palavras-chave: Spatiotemporal averaging; Sea salinity; Microwave radiometry; Auxiliary data. |
| Ano: 2006 |
URL: http://archimer.ifremer.fr/doc/2006/publication-2011.pdf |
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| Jeune,Wesly; Francelino,Márcio Rocha; Souza,Eliana de; Fernandes Filho,Elpídio Inácio; Rocha,Genelício Crusoé. |
| ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map soils in western Haiti and compare the performance of the Multinomial Logistic Regression (MLR) with Random Forest (RF) to classify the soils. The study area of 4,300 km2 is mostly composed of diverse limestone rocks, alluvial deposits, and, to a lesser extent, basalt. A soil survey was conducted whereby soils were described and classified at 258 sites. Soil samples were collected and subjected to physical and chemical analyses. Recursive Feature Elimination (RFE) was used to select the most important covariates from... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Auxiliary data; Digital soil mapping; Soil survey; Data-mining. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100306 |
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