MODIS Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) for comparison of farm parcels of Scott County, Kentucky

Authors: Saaruj Khadka*, Kentucky State University, Buddhi Raj Gyawali, Ph.D, Kentucky State University, Jeremy Sandifer, Kentucky state University
Topics: Remote Sensing
Keywords: MODIS, NDVI, productivity, Parcel, Land fragmentation
Session Type: Poster
Day: 4/13/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


The population of Kentucky has experienced a positive growth of 9.7% from 2000 to 2010 with impacts on the productivity of vegetated landscape in this area. The vegetation health in this case is estimated from its primary productivity by the MODIS Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) 250 meter, 16-day mean composite data. These products give relative returns on the relative intensity of photosynthetic activity of the surface, including forest and agricultural land covers. This study examines the relationship between size of a given farm parcel and the coincident estimate of productivity to explore the effect of parcel size on farm productivity. The parcel data was acquired for Scott County, Kentucky and is used as sampling units of observation and are categorized according to total land area in acres as small (0-30), middle (30-60), and large (more than 60) classes. Preliminary results show that big sized farm is more productive and healthier than medium and small sized farm during the summer growing season. The lower productivity values on medium and small sized farm could indicate that they are less intensively managed compared to larger farm parcels. The result of this study suggests that parcel size has a role in overall crop health and on overall levels of potential farm productivity. This study suggests further research on crop land use and economic productivity, land fragmentation, and diversity patterns to inform landowners, farmers, and managers for sustainable farm management.

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