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| [[Chapter23|Chapter 21]]. Computing crop yield maps create forecasts. | [[Chapter23|Chapter 21]]. Computing crop yield maps create forecasts. | ||
| - | ===Using satellite imagery=== | + | ===Indicators derived from satellite imagery=== |
| [[Chapter4|Chapter 5.]] Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting. | [[Chapter4|Chapter 5.]] Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting. | ||
Revision as of 12:58, 22 September 2006
Welcome to the Crop Monitoring Box documentation
Introduction
Chapter 1. General introduction to crop forecasting and its methods.
Chapter 2. Crop forecasting philosophy of FAO, an overview.
Chapter 3. The principles of crop modelling and their implementation in the CMBox.
Chapter 4. Crop forecasting with water budget calculations.
Chapter 6. Introduction to CMBox software, data formats and GIS.
Setting up a crop monitoring network
Chapter 7. The two basic modelling options: grid-based and station-based
Chapter 8. Setting up a monitoring network.
Chapter 9. Selection of a reference period.
Gathering and calculating weather data
Chapter 10. Entering and importing normal and actual weather data.
Chapter 11. Computing the ET0.
Chapter 12. Preparation of a ten-daily rainfall and ET0 database for crop forecasting
Gathering and calculating crop data
Chapter 14. Analysis of time series of climate and crops to identify trends, if they are present. Construction of detrended crop yield time series.
Chapter 15. Preparation of polygons for main crop growing areas in the country and define cropping practices and conditions.
Techniques to use when data are unavailable
Chapter 13. Introduction to Geostatistics and the spatial interpolation of weather and crop data.
Chapter 13. How to fill gaps in data records
The FAO water balance model and its crop forecasting indicators
Chapter 16. Understanding the FAO Water Balance Model. Crops that can be monitored, including irrigated crops.
Chapter 17. Gathering all into the FAO AgroMetShell (AMS) crop simulation software.
Chapter 18. Run Water Balance model for both historical and current seasons. Understanding the output of the model.
From water balance indicators to yield estimates
Chapter 19. Practical introduction to multiple regression techniques and the selection of variables through a principal components analysis
Chapter 20. Calibrate crop yields against water balance outputs and other variables against.
Chapter 21. Computing crop yield maps create forecasts.
Indicators derived from satellite imagery
Chapter 5. Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting.
Chapter 22. Development of a standard procedure to define actual phenology (in particular crop planting date), based on local practice and satellite imagery
Chapter 23. The use of Normalised Difference Vegetation Index (NDVI) images.
Data and information dissemination
Chapter 24. Using other monitoring products in crop forecasting
Chapter 25. Prepare write-up of the products above as inputs to national crop monitoring bulletins
Setting up a crop monitoring system
Chapter 26. Introduction
Chapter 27. Resources required
Chapter 28. Where to get assistance