Crop Yield Estimation Using NDVI: A Comparison of Various NDVI Metrics

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dc.contributor.authorWilton, Michael
dc.contributor.examiningcommitteeCoyle, Barry (Agribusiness and Agricultural Economics)en_US
dc.contributor.examiningcommitteePorth, Lysa (Warren Centre for Actuarial Studies and Research)en_US
dc.contributor.supervisorBoyd, Milton (Agribusiness and Agricultural Economics)en_US
dc.date.accessioned2021-05-05T03:29:54Z
dc.date.available2021-05-05T03:29:54Z
dc.date.copyright2021-04-01
dc.date.issued2021-03en_US
dc.date.submitted2021-04-01T19:15:57Zen_US
dc.degree.disciplineAgribusiness and Agricultural Economicsen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe objective of this study is to examine and compare multiple Normalized Difference Vegetation Index (NDVI) metrics for estimating crop yield. There are several terms used to describe NDVI metrics including: process methods, aggregation techniques, phenological indices, and aggregation metrics. The various NDVI metrics included in this study are maximum NDVI (MaxNDVI), integrated-NDVI (INDVI), Minimum NDVI (MinNDVI), relative annual range of NDVI (RREL), days to maximum NDVI (DTM), and days from maximum NDVI (DFM). NDVI data was accessed from the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) over a 13-year period (2006-2018). County level corn yield data was from the United States Department of Agriculture (USDA) National Agriculture Statistics Service (NASS) database. Temperature data was gathered from the Puget Sound Regional Synthesis Model (PRISM). Regression analysis was conducted to examine the performance of various NDVI metrics for estimating crop yield. The results indicate that MaxNDVI is best able to estimate county level corn yields. This research aids in understanding the ability of the various NDVI metrics to estimate crop yield. This information will assist those designing satellite-based crop yield forecasting and index-based crop insurance models.en_US
dc.description.noteMay 2021en_US
dc.identifier.urihttp://hdl.handle.net/1993/35486
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectCrop Yield Estimation and Forecastingen_US
dc.subjectIndex-based Crop Insuranceen_US
dc.subjectSatelliteen_US
dc.subjectRemote Sensingen_US
dc.subjectMODISen_US
dc.subjectNormalized Difference Vegetation Index (NDVI)en_US
dc.subjectNDVI Aggregationen_US
dc.subjectNDVI Processing Methodsen_US
dc.subjectMaximum NDVI (MaxNDVI)en_US
dc.subjectIntegrated-NDVI (INDVI)en_US
dc.titleCrop Yield Estimation Using NDVI: A Comparison of Various NDVI Metricsen_US
dc.typemaster thesisen_US
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Figure 1 NDVI time-series for corn crops in Iroquois County Illinois for 2018
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