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Using satellite remote sensing data in a spatially explicit price model
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Brown, Molly E. Pinzon, Jorge E. Prince, Stephen D. |
| Copyright Year | 2007 |
| Description | Famine early warning organizations use data from multiple disciplines to assess food insecurity of communities and regions in less-developed parts of the World. In this paper we integrate several indicators that are available to enhance the information for preparation for and responses to food security emergencies. The assessment uses a price model based on the relationship between the suitability of the growing season and market prices for coarse grain. The model is then used to create spatially continuous maps of millet prices. The model is applied to the dry central and northern areas of West Africa, using satellite-derived vegetation indices for the entire region. By coupling the model with vegetation data estimated for one to four months into the future, maps are created of a leading indicator of potential price movements. It is anticipated that these maps can be used to enable early warning of famine and for planning appropriate responses. |
| File Size | 4588481 |
| Page Count | 38 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20070032909 |
| Archival Resource Key | ark:/13960/t4mm19c4n |
| Language | English |
| Publisher Date | 2007-01-01 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Demand Economics Productivity Normalized Difference Vegetation Index Costs Africa Regions Remote Sensing Supplying Satellite Imagery Millet Sociology Organizations Vegetation Mathematical Models Food Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
