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SUCE

SUCE (Suitability Coverage Engine) is an 18-months project funded by the European Space Agency (ESA) which started in February 2015. The principal objective of the SUCE project is to define a concept and architecture, and provide a prototype permitting to effectively download EO products from identified PDGS (Payload Data Ground Segment) on the basis of advanced user criteria and analytic needs.

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SUCE | suce.gisat.cz Reviews
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SUCE (Suitability Coverage Engine) is an 18-months project funded by the European Space Agency (ESA) which started in February 2015. The principal objective of the SUCE project is to define a concept and architecture, and provide a prototype permitting to effectively download EO products from identified PDGS (Payload Data Ground Segment) on the basis of advanced user criteria and analytic needs.
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SUCE | suce.gisat.cz Reviews

https://suce.gisat.cz

SUCE (Suitability Coverage Engine) is an 18-months project funded by the European Space Agency (ESA) which started in February 2015. The principal objective of the SUCE project is to define a concept and architecture, and provide a prototype permitting to effectively download EO products from identified PDGS (Payload Data Ground Segment) on the basis of advanced user criteria and analytic needs.

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1

SUCE Portal | SUCE

http://suce.gisat.cz/suce-portal

SUCE portal allows the user to perform a search for valid pixel data (cloud free) based on its metadata. User sets basic search criteria (e.g. Basemap, Area of interest (AOI), Satellite data, Time period) and advanced search criteria and obtains results for four different scenarios (see Use Cases tab for individual scenario results). Selection of Base Map: MapQuest/ OSM/ MapQuest satellite. Time window selection and Advanced Criteria.

2

Project | SUCE

http://suce.gisat.cz/about

The SUCE Engine to be developed aims at providing users with the ability to perform suitability analysis on archived datasets based on metadata, return suitable results (in a form of metadata including maps), analyse potential gaps and allow modifying the criteria, and use the metadata to directly download the dataset needed for defined mapping product from the archive(s). The project is divided into the following subsequent parts:. Scenarios and requirements definition. EO product metadata analysis.

3

Products | SUCE

http://suce.gisat.cz/products

Coverage analysis for EEA39 countries from April 2012 to September 2012 using all theoretical acquisition of Landsat 5 and Landsat 7 - performed country by country. Each colour represents one image scene acquired during the time window. First initialization - used minimal number of scenes. Video: Seamless cloud-free mosaic of France composed using Landsat 5 and 7 (March 2012 - October 2012) with use of SUCE coverage analysis.

4

Use Cases | SUCE

http://suce.gisat.cz/use-cases

For a small AOI user is able to search for single scene coverage. If AOI is too large to be covered by a single scene MS1 is automatically redirected to MS3: Spatial coverage. Single scenes from Landsat 7 covering Monaco in the period of February 2012. For a selected AOI, sensor and time period SUCE returns a valid pixel map where number of valid pixels per pixel is displayed by different colours. Pixels with no valid pixel data (e.g. constant cloud) are transparent. Austria example for period between 1.

5

MODX CMF Správce obsahu přihlášení

http://suce.gisat.cz/manager?a=resource/update&amp;id=1

2005-2015 by MODX, LLC. MODX™ Revolution is licensed under the GPLv2 or later.

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Gisat / Zprávy z Gisatu / Suitability Coverage Engine

http://gisat.cz/content/cz/novinky/zpravy-z-gisatu/929-suitability-coverage-engine

Archív 2011 - 2013. Archív 2006 - 2010. Archív 2001 - 2005. Archív 1996 - 2000. Gisat vyvíjí technologii pro optimalizaci výběru družicových scén z družicových archívů. Hlavním cílem projektu SUCE. Je vytvořit datový a procesní model, který by umožňil automatizované vyhledání optimálního souboru družicových snímků vhodných pro mapovací a monitorovací aktivity bez nutnosti ručního výběru a přenosu nepotřebných dat. Hlavní vývojovou aktivitou projektu je návrh a vytváření prototypu SUCE. Engine. Celý p...

ptl.gisat.cz ptl.gisat.cz

Gisat / Zprávy z Gisatu / Suitability Coverage Engine

http://ptl.gisat.cz/content/cz/novinky/zpravy-z-gisatu/929-suitability-coverage-engine

Archív 2011 - 2013. Archív 2006 - 2010. Archív 2001 - 2005. Archív 1996 - 2000. Gisat vyvíjí technologii pro optimalizaci výběru družicových scén z družicových archívů. Hlavním cílem projektu SUCE. Je vytvořit datový a procesní model, který by umožňil automatizované vyhledání optimálního souboru družicových snímků vhodných pro mapovací a monitorovací aktivity bez nutnosti ručního výběru a přenosu nepotřebných dat. Hlavní vývojovou aktivitou projektu je návrh a vytváření prototypu SUCE. Engine. Celý p...

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SUCE

SUCE (Suitability Coverage Engine) is an 18-months project funded by the European Space Agency (ESA) which started in February 2015. The principal objective of the SUCE project is to define a concept and architecture, and provide a prototype permitting to effectively download EO products from identified PDGS (Payload Data Ground Segment) on the basis of advanced user criteria and analytic needs.

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Elah - Dufour - Novi. SUCE Surgelati Center Srl. Capitanata da Luciano Rizzati. È nata nel 1978, a Spini di Gardolo 141/1 Trento. Con l'attività di commercio all'ingrosso di gelati e surgelati. E concessionaria dei marchi Algida e Findus. Per la provincia di Trento. Nel 1984 si dividono le due concessioni, da una parte Algida. Dal 1999 SU.CE. Srl. Continua la propria attività con Findus. Nel deposito di Trento incrementando l'area di competenza non più solo alla Provincia di Trento. 4 Salti in Padella.

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Suitability Coverage Engine

Suitability Coverage Engine (SUCE). Save search criteria/results as. For a small AOI user is able to search for single scene coverage. For a selected AOI, sensor and time period SUCE returns a valid pixel map where number of valid pixels per pixel is displayed by different colours. Pixels with no valid pixel data (e.g. constant cloud) are transparent. For a selected AOI, sensor and time period SUCE is able to obtain all available valid data and mosaic them into one Optimal Composition. Choose a shape .

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