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7.0 Food security
This workshop and the associated materials are designed to give you an introduction to installing, using, and configuring the Food security add-on for IDV served at the ITC. Each section is designed to provide an overview of the topic covered with examples and exercises for you to complete.
The conventions used in this document can be found here. Most of the datasets used in these exercises are accessible on remote servers. For accessing the local datasets, see Installing local datasets.

The workshop is broken down into the following major sections:

7.0.0  Remotely Sensed Indices
This workshop and the associated materials are designed to give you an introduction to installing, using, and configuring the Integrated Data Viewer (IDV) served at the ITC. Each section is designed to provide an overview of the topic covered with examples and exercises for you to complete. The conventions used in this document can be found here. Most of the datasets used in these exercises are accessible on remote servers. For accessing the local datasets, see Installing local datasets.
7.0.1  Biophysical Production Simulations
This workshop section and the associated materials are designed to give you an introduction to installing and using the PSn crop growth simulation model served at the ITC. Each section is designed to provide an overview of the topic covered with examples and exercises for you to complete. The conventions used in this document can be found here. Most of the datasets used in these exercises are accessible on remote servers. For accessing the local datasets, see Installing local datasets.
7.0.2  Forecasting regional food/fiber production levels
Crop growth simulation relies on time and space discrete information. As a result, the outputs are only valid for one location and one period. For decision-making purposes this is often inadequate, since it is not of interest to planners to know what the current status of a particular land use systems is but to know the final outcome for multiple land use systems for a whole region. Preferably well in advance of harvesting so that for example in times of drought grain can still be purchased at reasonable (world market) price-levels. It is for this reason we examine the various techniques for forecasting food/fiber production levels in applications for food security.

 


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U09-NRM-127: The role of Distributed Data Access Technologies in NRM - for ITC-IDV version 2.7 > Thematic Expert Models