Abstract:
Agricultural monitoring systems should be able to provide timely information on crop
production, status and yield in a standardized and regular manner at the (sub) regional to the
national level. Monitoring and mapping vegetation condition and vegetation health accurately is
important for crop management, damage assessment and yield prediction. Crop health
monitoring is one of the important items for tracking the general health status of any crop. The
use of remote sensing and GIS is useful for crop health monitoring to obtain up to date
information that is difficult to collect by traditional methods such as field survey and sampling
questionnaires. Crop monitoring demands frequent and continuous data at regular time interval;
such data needs to have better temporal and spatial resolution. In this research work NDVI time
series data was prepared from Sentinel 2 satellite imageries. Using NDVI time series data crop
phenology geo-information was generated for Teff, wheat, Onion and Sorghum. In addition, crop
health status information was analyzed using Vegetation condition index in different time period
during the growing season. Lastly, crop type mapping was done with the overall accuracy of
79.26% and Kappa Value of 0.737.
