Models of Yield Production is one of the fields covered by the Agriculture Project of the Institute for Remote Sensing Applications at the Joint Research Centre of the Commission of the European Communities in Ispra (Italy). The goal of one of the studies in this field (see operation 3.2 in the MARS Project Call for Proposals: General Conditions and Detailed Specifications of August 1990) was to provide the Agriculture Project with a software package able to perform decoding, filing and quality evaluation of actual meteorological data which are used as input for agro-meteorological models. For this purpose the Actual Meteorological Database Construction (AMDaC) package is developed by MeteoConsult (Wageningen, The Netherlands), which is described in this manual.
Within the framework of the ASEMARS project, the calibration platform Calplat was developed, at Alterra, in close consultation with the Joint Research Centre (JRC) at Ispra. It was developed during 2005 and 2006, and was, in first instance, meant to calibrate the basic crop phenology parameters. Later Calplat has been extended to be able to calibrate a larger set of crop parameters for the WOFOST crop growth model and the LINGRA grass growth model, which are both part of the CGMS monitoring system.
The CGMS is the combination of the WOFOST crop growth model, a relational database and a statistical yield prediction module. From 2004 onwards the development of CGMS continued in the framework of the MARSOP2, ASEMARS and MARSOP3 projects, leading to the current version CGMS 10.0.3.2. The linked document below describes version 9.2
CGMS statistical tool
The CGMS statistical tool has been developed for JRC’s MARS project in the framework of the contract study “Actions in Support of the Enlargement of the MARS Crop Yield Forecasting System (MCYFS) Lot I (ASEMARS Lot I)”. The tool is designed for use by the crop analysts and is an improved version of the CGMS statistical module which was in use since 1994 to facilitate national and sub national crop yield forecasting. Time trend analyis of yield statistics is followed by regression or scenario analysis using biophysical indicators to explain yield statistics and search for similar years. Constructed models are used to predict yield of the current growing season.
The software package has been developed to aggregate grid weather to different levels of administrative and agri-environmental regions. It is a generic package that can be used for different input datasets such as observed weather and forecasted weather of different models and different regions of interest. For each of the input dataset the procedure is repeated using different weighing methods and different output resolutions.
In order to facilitate the work of the MARS analysts the COBO (Control board) was developed. The COBO is a mixture of data warehousing and data search engines organised through a common interface based on web-portal concept. COBO represents a base tool for the analyst.
CGMS does not use or need a GIS to produce its results. However, a GIS is necessary for a meaningful presentation of the results, and is also indispensable for the initial creation of the database. The link to the GIS is formed by the concept of the ) and Agro-environmental zones. Meteorological data are stored in the resolutions 'grid', 'NUTS' and 'agro-environmental zones'. Simulated yields are stored in the resolutions 'EMU', 'grid' and 'NUTS'.’s, grid cells, administrative regions(
In the cgms database all grid cells, administrative regions and agri-environmental zones have a unique code or number that can be used to provide a link to a GIS. The EMU's are stored as a unique combination of grid number andnumber. This unique combination can be used to provide the link to the GIS.
Remote Sensing Software
Remote Sensing Software
LTA_YIELD is a dedicated software package that calculates long term averages of simulated crop yield for each individual geographical feature on a 10 daily base. The geographical features can be be 's, grid cells or adminstrative regions ().
The operational MARS services deliver and store large amounts of data. These data vary from static reference layers and input weather data originating from different supplying meteorological sources (weather stations, ECMWF) and data quick looks to the data that is generated in the various operational levels of the MARS services through downscaling, simulation of crop indicators, estimation of crop yields etcetera. The MARS viewers enable users to perform spatial and temporal analysis of these data sets in a customized way. The documentation of the Marsop3 viewer is split into two manuals: an analyst viewer version with full functionality and a web version with limited functionality (webviewer).
Project Management Board
The Project Management Board (PMB) was developed to keep track of the operational processing activities. Within the MCYFS many production lines are operational. The source date come from different locations, generally in large quantities and high frequencies (daily-, decadal, monthly and seasonal updates). Different parties are involved in processing the data before they are injected in a database. And eventually most data is mirrored to a duplicate database elsewhere.
A single error could interrupt one of the production lines and may cause a complete dataset to be inaccessible (including derived results). A real-time overview of the states of the processing steps in the different production lines could help to quickly trace potential problems. This is what the PMB does. It consists of a database that stores all scheduled processing steps and their real-time status. The status of processing steps is updated by the various production lines automaticaly.
A web-based user interface can generate various overviews of processing steps. By default it displays the events that are delayed and not yet delivered. The user interface can also be used to manually update status information in case issues are resolved (and automatic status request can't be generated).
Windows software tool, released in 2000 to calculate long term average station weather. Currently installed as Oracle Package REF_WTH.
Supit constants are need to be available for all weather stations in the table WEATHER_STATION to be able to calculate solar radiation from other weather indicators as measured solar radiation is only seldom available. The SupitContstants application is developed to interpolated supit constants from the table SUPIT_REFERENCE_STATIONS to all weather stations and restuls are stored in the SUPIT_CONSTANTS table.
Within the MCYFS a number of software packages are developed that support processing steps in automated production lines. Some of these software packages can also be used as a separate tool by analysts.
- REGLISTS (supplies specific lists of regions directed by input parameters)
- MRS_PROCESS (contains common used functionality for processing more complex programs like cmeteo)
- ADD_PROCESS_LOG (procedure to send some info to a logtable)
- ADD_PROCESS_METRICS (procedure to send some data, retrieved during processing, to a logtable)
- MRS_STATS (generic tool to collect some metrics during processing)
- MRS_HTTP (generic tool to handle some messages)
- DATE_GENERATOR (generic tool to generate specific lists of dates according to the input paramaters)