scholarly journals Reduction of spatially structured errors in wide-swath altimetric satellite data using data assimilation

2019 ◽  
Author(s):  
Sammy Metref ◽  
Emmanuel Cosme ◽  
Julien Le Sommer ◽  
Nora Poel ◽  
Jean-Michel Brankart ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Satellite Data ◽  
Structured Errors ◽  
Using Data ◽  
Wide Swath

scholarly journals Wide-Swath Altimetric Satellite Data Assimilation With Correlated-Error Reduction

2020 ◽  
Vol 6 ◽  
Author(s):  
Sammy Metref ◽  
Emmanuel Cosme ◽  
Florian Le Guillou ◽  
Julien Le Sommer ◽  
Jean-Michel Brankart ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Satellite Data ◽  
Error Reduction ◽  
Correlated Error ◽  
Wide Swath

scholarly journals Wide-swath altimetric satellite data assimilation with structured-error detrending

2019 ◽  
Author(s):  
Sammy Metref ◽  
Emmanuel Cosme ◽  
Florian Le Guillou ◽  
Julien Le Sommer ◽  
Jean-Michel Brankart ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Satellite Data ◽  
Wide Swath

scholarly journals Enhancing CFD-LES air pollution prediction accuracy using data assimilation

2019 ◽  
Vol 165 ◽  
pp. 106383 ◽  
Author(s):  
Elsa Aristodemou ◽  
Rossella Arcucci ◽  
Laetitia Mottet ◽  
Alan Robins ◽  
Christopher Pain ◽  
...  
Keyword(s):  
Air Pollution ◽  
Data Assimilation ◽  
Prediction Accuracy ◽  
Using Data ◽  
Air Pollution Prediction ◽  
Pollution Prediction

scholarly journals A Webgis Framework for Disseminating Processed Remotely Sensed on Land Cover Transformations

2016 ◽  
Vol 100 (1) ◽  
pp. 27-38 ◽  
Author(s):  
Grazia Caradonna ◽  
Antonio Novelli ◽  
Eufemia Tarantino ◽  
Raffaela Cefalo ◽  
Umberto Fratino
Keyword(s):  
Land Cover ◽  
Satellite Data ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Geospatial Data ◽  
Usage Patterns ◽  
Mediterranean Regions ◽  
Multi Temporal ◽  
Using Data ◽  
Set Up

Abstract Mediterranean regions have experienced significant soil degradation over the past decades. In this context, careful land observation using satellite data is crucial for understanding the long-term usage patterns of natural resources and facilitating their sustainable management to monitor and evaluate the potential degradation. Given the environmental and political interest on this problem, there is urgent need for a centralized repository and mechanism to share geospatial data, information and maps of land change. Geospatial data collecting is one of the most important task for many users because there are significant barriers in accessing and using data. This limit could be overcome by implementing a WebGIS through a combination of existing free and open source software for geographic information systems (FOSS4G). In this paper we preliminary discuss methods for collecting raster data in a geodatabase by processing open multi-temporal and multi-scale satellite data aimed at retrieving indicators for land degradation phenomenon (i.e. land cover/land use analysis, vegetation indices, trend analysis, etc.). Then we describe a methodology for designing a WebGIS framework in order to disseminate information through maps for territory monitoring. Basic WebGIS functions were extended with the help of POSTGIS database and OpenLayers libraries. Geoserver was customized to set up and enhance the website functions developing various advanced queries using PostgreSQL and innovative tools to carry out efficiently multi-layer overlay analysis. The end-product is a simple system that provides the opportunity not only to consult interactively but also download processed remote sensing data.

Study on the transport of COD in the sea area around Maidao off Qingdao coast using data assimilation

2007 ◽  
Vol 6 (4) ◽  
pp. 339-344 ◽  
Author(s):  
Qiang Zhao ◽  
Xiaomin Hu ◽  
Xianqing Lü ◽  
Xuejun Xiong ◽  
Bo Yang
Keyword(s):  
Data Assimilation ◽  
Qingdao Coast ◽  
Using Data ◽  
Sea Area
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