Performance Analysis of Spectral Features Based on Narrowband Vegetation Indices for Cotton and Maize Crops by EO-1 Hyperion Dataset

摘要

The objective of this paper is to estimate and analyze the selected narrowband vegetation indices for cotton and maize crops at canopy level, generated by using EO-1 Hyperion dataset. EO-1 Hyperion data of the date 15th October 2014 has been collected from United States Geological Survey (USGS) Earth Explorer by data aquisition request (DAR). After performing atmospheric corrections by using Quick Atmospheric Correction (QUAC), we have applied selected narrowband vegetation indices specifically those which are based on greenness/leaf pigments namely NDVI, EVI, ARVI, SGI, and red-edge indices such as RENDVI and VOG-I. Statistical analysis has been done by using the statistical t-test, it is found that there is a more significant difference in the mean of the responses of cotton and maize to NDVI, ARVI and VOG-1 than EVI & RENDVI, whereas, the response to SGI for both the crops is very close to each other.