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| - | ='''Introduction'''= | + | <blockquote> |
| + | __NOTOC__ | ||
| + | ==Welcome to the Crop Monitoring Box documentation== | ||
| + | ------------------------------------ | ||
| + | ===1. Introduction=== | ||
| - | '''Chapter 1.''' Quick overview of FAO food security work, the raison d'être of the crop forecasting and presentation of the overall crop forecasting philosophy adopted by FAO | + | [[Chapter1|1.1.]] General introduction to crop forecasting and its methods. |
| - | '''Chapter 2.''' Introduction into the principles of crop modelling (including basic crop model overview) and their implementation in AgroMetShell and the CMBox. The principle of indicators like ETa and the WSI index. | + | [[Chapter2|1.2.]] Crop forecasting philosophy of FAO, an overview. |
| - | '''Chapter 3.''' Presentation of Potential Evapotranspiration (PET) and its role in the calculation of crop water budgets and crop forecasting | + | [[Chapter3|1.3.]] The principles of crop modelling and their implementation in the CMBox. |
| - | '''Chapter 4.''' Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting | + | [[Chapter5|1.4.]] Crop yield forecasting with water balance calculations. |
| - | '''Chapter 5.''' Introduction to data formats and GIS. | + | [[Chapter6|1.5.]] Introduction to CMBox software, data formats and GIS. |
| - | = '''Gathering data and getting them right. ''' = | + | ===2. A crop monitoring network === |
| - | 6) The two basic modelling options: gridding before modelling, and modelling before gridding. Advantages and disadvantages in terms of errors, labour and accuracy of forecasts. | + | [[Chapter7|2.1.]] The two basic modelling options: grid-based and station-based |
| - | 7) Selection of reference periods: a compromise between statistical significance and agronomic significance. | + | [[Chapter8|2.2.]] Setting up a monitoring network. |
| - | 8) Practical introduction to Geostatistics and the spatial interpolation of agroclimatic and other variables. This contains a description of LocClim and SEDI | + | [[Chapter9|2.3.]] Selection of a reference period. |
| - | 9) Development of practical and simplified PET and radiation computation procedure. | + | ===3. Gathering and calculating weather data === |
| - | 10) Preparation of ten-daily PET maps (36 dekads per calibration year) | + | [[Chapter10|3.1]]. Entering and importing normal and actual weather data. |
| - | 11) Preparation of ten-daily rainfall maps (36 dekads/year). If necessary, develop a technique to derive/interpolate rainfall based on Global Telecommunications System (GTS of WMO) and Japanese meteorological satellite images | + | [[Chapter11|3.2]]. Computing the reference evapotranspiration ET<sub>0</sub>. |
| - | 12) Analysis of time series of climate and crops to identify trends, if they are present. Construction of detrended crop yield time series | + | [[Chapter12|3.3]]. Preparing and using the dekadal rainfall and ET<sub>0</sub> database for crop monitoring |
| - | 13) Preparation of polygons for main crop growing areas in the country and define cropping practices and conditions (planting/transplanting, soil features, irrigation water amounts...) | + | ===4. Gathering and calculating crop data === |
| - | Using satellite imagery | + | [[Chapter15|4.1]]. Defining cropping practices and conditions and preparation of polygons for main crop growing areas in the country. |
| - | 14) Development of a standard procedure to define actual phenology (in particular crop planting date), based on local practice and satellite imagery | + | [[Chapter14|4.2]]. Analysis of time series of climate and crops to identify trends. Detrending yield. |
| - | 15) Extract Normalised Difference Vegetation Index (NDVI) images for the country from the global data | + | ===5. Techniques to use when data are unavailable=== |
| - | Running the FAO water balance model | + | [[Chapter13|5.1]]. Introduction to Geostatistics and the spatial interpolation of weather and crop data. |
| - | 16) Read all data prepared above into the AgroMetShell crop simulation software (AMS) | + | [[Chapter33|5.2]]. Filling gaps in agricultural statistics. |
| - | 17) Run AMS for the historical time period, extract average water balance parameters over main crop growing areas | + | ===6. The FAO water balance model and its crop forecasting indicators=== |
| - | 18) Prcatical introduction to multiple regression techniques and the selection of variables through a principal components analysis | + | |
| - | 19) Calibrate crop yields against water balance outputs and other variables against and validate the coefficients. | + | |
| - | Forecasting Yield | + | [[Chapter18|6.1.]] The FAO Water Balance Model. Monitoring crops. |
| - | 20) Using equations derived under 19) above, compute crop yield maps and derive tables of agricultural statistics from the maps (the forecasts) | + | [[Chapter19|6.2.]] Gathering all data into the FAO AgroMetShell crop simulation software. |
| - | 21) Prepare write-up of the products above as inputs to national crop monitoring bulletins | + | [[Chapter20|6.3.]] Run the Water Balance model. Understanding the output of the model. |
| + | |||
| + | ===7. From water balance indicators to yield estimates=== | ||
| + | |||
| + | [[Chapter22|7.1]]. Calibrate crop yields against water balance outputs and other variables. | ||
| + | |||
| + | [[Chapter23|7.2]]. Considerations when computing crop yield maps and create forecasts. | ||
| + | |||
| + | ===8. Independent indicators=== | ||
| + | |||
| + | [[Chapter21|8.1]]. Examples of other weather based indicators. | ||
| + | |||
| + | [[Chapter4|8.2.]] Remote Sensing and its role in crop forecasting. | ||
| + | |||
| + | ===9. Data and information dissemination=== | ||
| + | |||
| + | [[Chapter24|9.1]]. Prepare write-up of products for crop monitoring bulletins | ||
| + | |||
| + | [[Chapter44|9.2]]. Outline of a Weather Impact Bulletin | ||
| + | |||
| + | ===10. Setting up a crop monitoring system=== | ||
| + | |||
| + | [[Chapter27|10.1]]. Introduction | ||
| + | |||
| + | [[Chapter25|10.2]]. Resources required | ||
| + | |||
| + | [[Chapter26|10.3]]. How to get assistance | ||
| + | |||
| + | |||
| + | [[Glossary|Glossary]] | ||
| + | |||
| + | |||
| + | |||
| + | ------------------------------------ | ||
| + | </blockquote> | ||
Current revision
[edit]Welcome to the Crop Monitoring Box documentation
[edit]1. Introduction
1.1. General introduction to crop forecasting and its methods.
1.2. Crop forecasting philosophy of FAO, an overview.
1.3. The principles of crop modelling and their implementation in the CMBox.
1.4. Crop yield forecasting with water balance calculations.
1.5. Introduction to CMBox software, data formats and GIS.
[edit]2. A crop monitoring network
2.1. The two basic modelling options: grid-based and station-based
2.2. Setting up a monitoring network.
2.3. Selection of a reference period.
[edit]3. Gathering and calculating weather data
3.1. Entering and importing normal and actual weather data.
3.2. Computing the reference evapotranspiration ET0.
3.3. Preparing and using the dekadal rainfall and ET0 database for crop monitoring
[edit]4. Gathering and calculating crop data
4.1. Defining cropping practices and conditions and preparation of polygons for main crop growing areas in the country.
4.2. Analysis of time series of climate and crops to identify trends. Detrending yield.
[edit]5. Techniques to use when data are unavailable
5.1. Introduction to Geostatistics and the spatial interpolation of weather and crop data.
5.2. Filling gaps in agricultural statistics.
[edit]6. The FAO water balance model and its crop forecasting indicators
6.1. The FAO Water Balance Model. Monitoring crops.
6.2. Gathering all data into the FAO AgroMetShell crop simulation software.
6.3. Run the Water Balance model. Understanding the output of the model.
[edit]7. From water balance indicators to yield estimates
7.1. Calibrate crop yields against water balance outputs and other variables.
7.2. Considerations when computing crop yield maps and create forecasts.
[edit]8. Independent indicators
8.1. Examples of other weather based indicators.
8.2. Remote Sensing and its role in crop forecasting.
[edit]9. Data and information dissemination
9.1. Prepare write-up of products for crop monitoring bulletins
9.2. Outline of a Weather Impact Bulletin
[edit]10. Setting up a crop monitoring system
10.1. Introduction
10.2. Resources required
10.3. How to get assistance