(Difference between revisions)
| Revision as of 15:41, 19 August 2006 Peter (Talk | contribs) (→Chapter 1. The raison d'être of the crop forecasting and crop forecasting methods.) ← Previous diff |
Current revision Laos (Talk | contribs) |
||
| Line 1: | Line 1: | ||
| <blockquote> | <blockquote> | ||
| - | |||
| __NOTOC__ | __NOTOC__ | ||
| + | ==Welcome to the Crop Monitoring Box documentation== | ||
| + | ------------------------------------ | ||
| + | ===1. Introduction=== | ||
| + | |||
| + | [[Chapter1|1.1.]] General introduction to crop forecasting and its methods. | ||
| + | |||
| + | [[Chapter2|1.2.]] Crop forecasting philosophy of FAO, an overview. | ||
| - | ==Introduction== | + | [[Chapter3|1.3.]] The principles of crop modelling and their implementation in the CMBox. |
| - | '''[[Chapter1|Chapter 1.]] The raison d'être of the crop forecasting and crop forecasting methods.''' | + | [[Chapter5|1.4.]] Crop yield forecasting with water balance calculations. |
| - | ===[[Chapter2|Chapter 2.]] Overview of FAO food security work. The crop forecasting philosophy adopted by FAO.=== | + | [[Chapter6|1.5.]] Introduction to CMBox software, data formats and GIS. |
| - | ===[[Chapter3|Chapter 3.]] The principles of crop modelling and their implementation in the CMBox.=== | + | ===2. A crop monitoring network === |
| - | === [[Chapter5|Chapter 4.]] Potential Evapotranspiration (PET) and the calculation of crop water budgets.=== | + | [[Chapter7|2.1.]] The two basic modelling options: grid-based and station-based |
| - | === [[Chapter4|Chapter 5.]] Introduction to Remote Sensing (CCD and NDVI) and its role in crop forecasting.=== | + | [[Chapter8|2.2.]] Setting up a monitoring network. |
| - | === [[Chapter6|Chapter 6.]] Introduction to GIS and data formats. === | + | [[Chapter9|2.3.]] Selection of a reference period. |
| - | </blockquote> | + | |
| - | <blockquote> | + | ===3. Gathering and calculating weather data === |
| - | ==Gathering data and getting them right. == | + | [[Chapter10|3.1]]. Entering and importing normal and actual weather data. |
| - | ===[[Chapter7|Chapter 7]]. The two basic modelling options: grid-based and station-based monitoring=== | + | [[Chapter11|3.2]]. Computing the reference evapotranspiration ET<sub>0</sub>. |
| - | ===[[Chapter8|Chapter 8]]. Setting up a monitoring network.=== | + | [[Chapter12|3.3]]. Preparing and using the dekadal rainfall and ET<sub>0</sub> database for crop monitoring |
| - | ===[[Chapter9|Chapter 9]]. Selection of reference periods. === | + | ===4. Gathering and calculating crop data === |
| - | ===[[Chapter10|Chapter 10]]. Entering and importing weather data. === | + | [[Chapter15|4.1]]. Defining cropping practices and conditions and preparation of polygons for main crop growing areas in the country. |
| - | ===[[Chapter11|Chapter 11]]. Development of ET<sub>0</sub> computation procedure. === | + | [[Chapter14|4.2]]. Analysis of time series of climate and crops to identify trends. Detrending yield. |
| - | ===[[Chapter12|Chapter 12]]. Preparation of ten-daily rainfall and ET<sub>0</sub> records for crop forecasting=== | + | ===5. Techniques to use when data are unavailable=== |
| - | ===[[Chapter13|Chapter 13]]. Introduction to Geostatistics and the spatial interpolation of agroclimatic and other variables. (includes LocClim) .... === | + | [[Chapter13|5.1]]. Introduction to Geostatistics and the spatial interpolation of weather and crop data. |
| - | ===[[Chapter14|Chapter 14]]. Analysis of time series of climate and crops to identify trends, if they are present. Construction of detrended crop yield time series. === | + | [[Chapter33|5.2]]. Filling gaps in agricultural statistics. |
| - | ===[[Chapter15|Chapter 15]]. Preparation of polygons for main crop growing areas in the country and define cropping practices and conditions. === | + | ===6. The FAO water balance model and its crop forecasting indicators=== |
| - | ==Running the FAO water balance model == | + | [[Chapter18|6.1.]] The FAO Water Balance Model. Monitoring crops. |
| - | ===[[Chapter18|Chapter 16]]. Crops that can be monitored, including specific crops like irrigated crops. === | + | [[Chapter19|6.2.]] Gathering all data into the FAO AgroMetShell crop simulation software. |
| - | ===[[Chapter19|Chapter 17]]. Read all data prepared above into the AgroMetShell crop simulation software (AMS) === | + | [[Chapter20|6.3.]] Run the Water Balance model. Understanding the output of the model. |
| - | ===[[Chapter20|Chapter 18]]. Run AMS for the historical time period, extract average water balance parameters over main crop growing areas=== | + | ===7. From water balance indicators to yield estimates=== |
| - | ===[[Chapter21|Chapter 19]]. Practical introduction to multiple regression techniques and the selection of variables through a principal components analysis=== | + | [[Chapter22|7.1]]. Calibrate crop yields against water balance outputs and other variables. |
| - | ===[[Chapter22|Chapter 20]]. Calibrate crop yields against water balance outputs and other variables against and validate the coefficients. === | + | [[Chapter23|7.2]]. Considerations when computing crop yield maps and create forecasts. |
| - | ===[[Chapter23|Chapter 21]]. Using equations derived under 19) above, compute crop yield maps and derive tables of agricultural statistics from the maps (the forecasts). === | + | ===8. Independent indicators=== |
| - | ==Using satellite imagery== | + | [[Chapter21|8.1]]. Examples of other weather based indicators. |
| - | ===[[Chapter16|Chapter 22]]. Development of a standard procedure to define actual phenology (in particular crop planting date), based on local practice and satellite imagery === | + | [[Chapter4|8.2.]] Remote Sensing and its role in crop forecasting. |
| - | ===[[Chapter17|Chapter 23]]. Extract Normalised Difference Vegetation Index (NDVI) images for the country from the global data=== | + | ===9. Data and information dissemination=== |
| - | ==Data and information dissemination== | + | [[Chapter24|9.1]]. Prepare write-up of products for crop monitoring bulletins |
| - | ===[[Chapter23|Chapter 24]]. Using other monitoring products in crop forecasting=== | + | [[Chapter44|9.2]]. Outline of a Weather Impact Bulletin |
| - | ===[[Chapter24|Chapter 25]]. Prepare write-up of the products above as inputs to national crop monitoring bulletins=== | + | ===10. Setting up a crop monitoring system=== |
| - | ==Setting up a crop monitoring system== | + | [[Chapter27|10.1]]. Introduction |
| - | ===[[Chapter27|Chapter 26]]. Intoduction=== | + | [[Chapter25|10.2]]. Resources required |
| - | ===[[Chapter25|Chapter 27]]. Resources required=== | + | [[Chapter26|10.3]]. How to get assistance |
| - | ===[[Chapter26|Chapter 28]]. Where to get assistance=== | ||
| + | [[Glossary|Glossary]] | ||
| - | ===[[Glossary|Glossary]]=== | ||
| + | ------------------------------------ | ||
| </blockquote> | </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