Derivative Analysis of AVIRIS Data for Crop Stress Detection
Document Type
Article
Publication Date
12-1-2005
Department
Geography and Geology
School
Biological, Environmental, and Earth Sciences
Abstract
Low-altitude Airborne Visible/Infirared Imaging Spectrometer (AVIRIS) hyperspectral imagery of a cornfield in Nebraska was used to determine whether derivative analysis methods provided enhanced plant stress detection compared with narrow-band ratios. The field was divided into 20 plots representing four replicates each of five nitrogen (N) fertilization treatments that ranged from 0 to 200 kg Who in 50 kg/ha increments. The imagery yielded a 3 m ground pixel size for 224 spectral bands. Derivative analysis provided no advantage in stress detection compared with the performance of narrow-band ratio indices derived from the literature. This result was attributed to a high leaf area index at the time of the overflight (LAI of approximately 5 to 6) and the high signal-to-noise character of the narrow AVIRIS bands.
Publication Title
Photogrammetric Engineering and Remote Sensing
Volume
71
Issue
12
First Page
1417
Last Page
1421
Recommended Citation
Estep, L.,
Carter, G. A.
(2005). Derivative Analysis of AVIRIS Data for Crop Stress Detection. Photogrammetric Engineering and Remote Sensing, 71(12), 1417-1421.
Available at: https://aquila.usm.edu/fac_pubs/2595
