Difference between revisions of "Welcome to WikiMCYFS"
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__NOTOC__ | __NOTOC__ | ||
{{Non expert}} | {{Non expert}} | ||
| − | Welcome to the Mars Crop Yield Forecasting System (MCYFS) wiki. Here you will find documentation, articles, | + | Welcome to the Mars Crop Yield Forecasting System (MCYFS) wiki. Here you will find documentation, articles, and general information about the MCYFS. There is no restriction on reading any of the content, but for editing you need to log in. If you are new to work with Mediawiki software have a look at the [[FAQ]] page where you find links to manuals and frequently used code in this wiki. |
To serve different audiences the WikiMCYFS has different levels of information with a corresponding writing style: | To serve different audiences the WikiMCYFS has different levels of information with a corresponding writing style: | ||
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==Introduction== | ==Introduction== | ||
[[File:Flowchart_mcyfs_modules.jpg|thumb|right|200px|MCYFS modules]] | [[File:Flowchart_mcyfs_modules.jpg|thumb|right|200px|MCYFS modules]] | ||
| − | For the implementation of the {{Gloshint|CAP|Common Agricultural Policy. |CAP}}, the European Commission requires information on | + | For the implementation of the {{Gloshint|CAP|Common Agricultural Policy. |CAP}}, the European Commission requires information on crop production of the current growing season. To acquire this information, the {{Gloshint|MARS|Monitoring Agricultural ResourceS. |MARS}}-project was started. The project is supervised by two units of the European Commission's {{Gloshint|JRC|Joint Research Centre. |JRC}} in Ispra (Italy): Agri4Cast and Foodsec. The MARS-project is now running in an operational context what is called the {{Gloshint|MCYFS|Mars Crop Yield Forecasting System. |MCYFS}}. |
| − | + | The MCYFS covers 5 [[Regional Windows | regional windows]]: Europe, Russia/Kazachstan, China, India and South America. It uses near real time data like observed weather, weather forecasts and/or remote sensing data. Static input data consist of soil maps, crop parameters and administrative regions. With these input data crop conditions can be simulated. On regular intervals new yield statistics are added. Together with the weather data, crop simulation results and remote sensing data, these are used to make crop specific end-of-season yield forecasts. With software tools the data can be accessed, analyzed and presented. While the operational management of the MCYFS has been outsourced, the Mars Unit is in charge of research and development, main output quality control, analyses and publication of the MARS bulletins. | |
| − | The MCYFS uses near real time data like observed weather, weather forecasts and remote sensing data | ||
The MCYFS consists of an ensemble of methodologies and tools that are grouped into 5 modules. | The MCYFS consists of an ensemble of methodologies and tools that are grouped into 5 modules. | ||
Revision as of 11:13, 22 December 2015
Welcome to the Mars Crop Yield Forecasting System (MCYFS) wiki. Here you will find documentation, articles, and general information about the MCYFS. There is no restriction on reading any of the content, but for editing you need to log in. If you are new to work with Mediawiki software have a look at the FAQ page where you find links to manuals and frequently used code in this wiki.
To serve different audiences the WikiMCYFS has different levels of information with a corresponding writing style:
- non-expert
- scientific
- expert
The page of this wiki are colored accordingly:
Introduction
For the implementation of the CAP, the European Commission requires information on crop production of the current growing season. To acquire this information, the MARS-project was started. The project is supervised by two units of the European Commission's JRC in Ispra (Italy): Agri4Cast and Foodsec. The MARS-project is now running in an operational context what is called the MCYFS.
The MCYFS covers 5 regional windows: Europe, Russia/Kazachstan, China, India and South America. It uses near real time data like observed weather, weather forecasts and/or remote sensing data. Static input data consist of soil maps, crop parameters and administrative regions. With these input data crop conditions can be simulated. On regular intervals new yield statistics are added. Together with the weather data, crop simulation results and remote sensing data, these are used to make crop specific end-of-season yield forecasts. With software tools the data can be accessed, analyzed and presented. While the operational management of the MCYFS has been outsourced, the Mars Unit is in charge of research and development, main output quality control, analyses and publication of the MARS bulletins.
The MCYFS consists of an ensemble of methodologies and tools that are grouped into 5 modules.
Useful links:
