Next Article in Journal
Blanding’s Turtle (Emydoidea blandingii) Potential Habitat Mapping Using Aerial Orthophotographic Imagery and Object Based Classification
Next Article in Special Issue
Two Linear Unmixing Algorithms to Recognize Targets Using Supervised Classification and Orthogonal Rotation in Airborne Hyperspectral Images
Previous Article in Journal
Scaling Effect of Area-Averaged NDVI: Monotonicity along the Spatial Resolution
Previous Article in Special Issue
Hyperspectral Data for Mangrove Species Mapping: A Comparison of Pixel-Based and Object-Based Approach
Remote Sens. 2012, 4(1), 180-193; doi:10.3390/rs4010180
Article

Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves

1,2
Received: 25 October 2011; in revised form: 10 January 2012 / Accepted: 10 January 2012 / Published: 11 January 2012
(This article belongs to the Special Issue Hyperspectral Remote Sensing)
View Full-Text   |   Download PDF [856 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: A detailed introduction to variogram analysis of reflectance data is provided, and variogram parameters (nugget, sill, and range values) were examined as possible indicators of abiotic (irrigation regime) and biotic (spider mite infestation) stressors. Reflectance data was acquired from 2 maize hybrids (Zea mays L.) at multiple time points in 2 data sets (229 hyperspectral images), and data from 160 individual spectral bands in the spectrum from 405 to 907 nm were analyzed. Based on 480 analyses of variance (160 spectral bands × 3 variogram parameters), it was seen that most of the combinations of spectral bands and variogram parameters were unsuitable as stress indicators mainly because of significant difference between the 2 data sets. However, several combinations of spectral bands and variogram parameters (especially nugget values) could be considered unique indicators of either abiotic or biotic stress. Furthermore, nugget values at 683 and 775 nm responded significantly to abiotic stress, and nugget values at 731 nm and range values at 715 nm responded significantly to biotic stress. Based on qualitative characterization of actual hyperspectral images, it was seen that even subtle changes in spatial patterns of reflectance values can elicit several-fold changes in variogram parameters despite non-significant changes in average and median reflectance values and in width of 95% confidence limits. Such scattered stress expression is in accordance with documented within-leaf variation in both mineral content and chlorophyll concentration and therefore supports the need for reflectance-based stress detection at a high spatial resolution (many hyperspectral reflectance profiles acquired from a single leaf) and may be used to explain or characterize within-leaf foraging patterns of herbivorous arthropods.
Keywords: hyperspectral imaging; crop stress; variogram analysis; maize; drought; spider mites hyperspectral imaging; crop stress; variogram analysis; maize; drought; spider mites
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Nansen, C. Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves. Remote Sens. 2012, 4, 180-193.

AMA Style

Nansen C. Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves. Remote Sensing. 2012; 4(1):180-193.

Chicago/Turabian Style

Nansen, Christian. 2012. "Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves." Remote Sens. 4, no. 1: 180-193.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert