Increased-specificity famine prediction using satellite observation data

Simple item page
dc.contributor.authorQuinn, John A.
dc.contributor.authorOkori, Washington
dc.contributor.authorGidudu, Anthony
dc.date.accessioned2023-02-01T20:33:08Z
dc.date.available2023-02-01T20:33:08Z
dc.date.issued2010
dc.description.abstractThis paper examines the use of remote sensing satellite data to predict food shortages among di erent categories of house- holds in famine-prone areas. Normalized Di erence Vegeta- tion Index (NDVI) and rainfall estimate data, which can be derived from multi-spectral satellite radiometer images, has long been used to predict crop yields and hence famine. This gives an overall prediction of food insecurity in an area, though in a heterogeneous population it does not directly predict which sectors of society or households are most at risk. In this work we use information on 3094 households across Uganda collected between 2004-2005. We describe a method for clustering households in such a way that the cluster de- cision boundaries are both relevant for improved-speci city famine prediction and are easily communicated. We then give classi cation results for predicting food security status at a household level given di erent combinations of satel- lite data, demographic data, and household category indices found by our clustering method. The food security classi - cation performance of this model demonstrates the potential of this approach for making predictions of famine for speci c areas and demographic groups.en_US
dc.identifier.citationQuinn, J. A., Okori, W., & Gidudu, A. (2010, December). Increased-specificity famine prediction using satellite observation data. In Proceedings of the First ACM Symposium on Computing for Development (pp. 1-6).en_US
dc.identifier.urihttps://dl.acm.org/doi/abs/10.1145/1926180.1926203
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7463
dc.language.isoenen_US
dc.publisherFirst ACM Symposium on Computing for Developmenten_US
dc.titleIncreased-specificity famine prediction using satellite observation dataen_US
dc.typeOtheren_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Increased-specificity famine prediction using satellite.pdf
Size:
359.78 KB
Format:
Adobe Portable Document Format
Description:
Conference Paper
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology