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Applicability Of The Normalized Difference Vegetation Index In Index-Based Crop Insurance Design

dc.contributor.authorMcLaurin, Meganen_US
dc.contributor.chairTurvey, Calum G.en_US
dc.contributor.committeeMemberHobbs, Peteren_US
dc.date.accessioned2012-06-28T20:57:22Z
dc.date.available2016-06-01T06:15:49Z
dc.date.issued2011-01-31en_US
dc.description.abstractIndex-insurance is becoming increasingly popular because of its ability to provide low-cost, relatively easy to implement agricultural insurance for vegetation types whose productivity has been notoriously difficult to measure and to farmers in less-developed nations where traditional crop insurance schemes are not reasonable to implement. This study examines if the remotely sensed Normalized Difference Vegetation Index (NDVI) can be an effective basis for index-based crop insurance over a diverse set of locations. To do this I compare AVHRR-NDVI values to cumulative precipitation, extreme heat, and crop yields for sixty locations across the United States for the years 1982-2003. I use simple OLS quadratic equations to explore these relationships. My findings suggest that the relationship between NDVI, precipitation, extreme heat, and crop yields is highly variable and dependent on location-specific characteristics. Without site-specific calibration, NDVI should not be widely applied to index-based insurance product design. However, NDVI may still be a useful tool in insurance design under certain circumstances. Further research is needed to better characterize the factors affecting NDVI values and their relationships to crop yield.en_US
dc.identifier.otherbibid: 7745304
dc.identifier.urihttps://hdl.handle.net/1813/29416
dc.language.isoen_USen_US
dc.subjectndvien_US
dc.subjectremote sensingen_US
dc.subjectindex-based insuranceen_US
dc.subjectcrop insuranceen_US
dc.titleApplicability Of The Normalized Difference Vegetation Index In Index-Based Crop Insurance Designen_US
dc.typedissertation or thesisen_US
thesis.degree.disciplineAgricultural Economics
thesis.degree.grantorCornell Universityen_US
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Agricultural Economics

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