TY - CPAPER ID - apan2003 AU - Apan, Armando AU - Held, Alex AU - Phinn, Stuart AU - Markley, John TI - Formulation and assessment of narrow-band vegetation indices from EO-1 hyperion imagery for discriminating sugarcane disease UR - http://eprints.usq.edu.au/8061/ PR - Spatial Sciences Institute T2 - 2003 Spatial Sciences Institute Conference: Spatial Knowledge Without Boundaries (SSC2003) CY - Canberra, Australia PY - 2003 SP - 1-13 N1 - No evidence of copyright restrictions. AB - The increasing commercial availability of hyperspectral image data promotes growing interests in the development of application-specific narrow-band spectral vegetation indices (SVIs). However, the selection of the optimum SVIs for a particular purpose is not straightforward, due to the wide choice of band combinations and transformations, combined with specific application purposes and conditions. Thus, the aim of this study was to develop an approach for formulating and assessing narrow-band vegetation indices, particularly those from EO-1 Hyperion imagery. The focus of SVI development was for discriminating sugarcane areas affected by 'orange rust' (Puccinia kuehnii) disease in Mackay, Queensland, Australia. After a series of pre-processing and post-atmospheric correction techniques, an empirical-statistical approach to SVI development was designed and implemented. This included the following components: a) selection of sample pixels of diseased and nondiseased areas, b) visual examination of spectral plots to identify bands of maximum spectral separability, c)generation of SVIs, d) use of multiple discriminant function analysis, and e) result interpretation and validation. From the forty existing and newly developed vegetation indices, the output discriminant function (i.e. a linear combination of three indices) attained a classification accuracy of 96.9% for the hold-out sample pixels. The statistical analyses also produced a list of function coefficients and correlation rankings that indicate the predictive potential of each SVI. The newly formulated 'Disease-Water Stress Indices' (DSWI) produced the highest correlations. The approach designed for this study provided a systematic framework in the formulation and assessment of SVIs for sugarcane disease detection. KW - hyperspectral remote sensing, spectral vegetation indices, sugarcane disease, Hyperion ER - TY - JOUR ID - carter1996 AU - Carter, Gregory A. AU - Cibula, William G. AU - Miller, Richard L. TI - Narrow-band Reflectance Imagery Compared with ThermalImagery for Early Detection of Plant Stress UR - http://www.sciencedirect.com/science/article/pii/S0176161796800708 DO - 10.1016/s0176-1617(96)80070-8 T2 - Journal of Plant Physiology PY - 1996 SN - 0176-1617 VL - 148 IS - 5 SP - 515-522 AB - Summary A field experiment compared plant stress detection by narrow-band reflectance and ratio images withthermal infrared images. Stress was induced in a mixed stand of 5 year old loblolly pine (Pinus taeda L.) and slash pine {Pinus elliottii Engelm.) by a soil application of diuron (DCMU) on 22 August followed by bromacil on 19 September, 1994. Herbicide-induced stress was first indicated on 24 and 26 September by significant (p⪯0.05) decreases in photosynthesis and the ratio of variable to maximum fluorescence (Fv/Fm), respectively. Stress was first detected remotely on 5 October by 694 ± 3 nm reflectance imagery and its ratio with reflectance at 760 ± 5 nm (p⪯0.05). This reflectance increase was detected at least 16 days prior to the first visible signs of damage, as quantified by the CIE color coordinate u', that occurred between 21 and 26 October. Reflectance images at 670 + 5 nm, 700 ± 5 nm and 760 ± 5 nm first detected stress on 21 October, 12 October and 20 December, respectively. Canopy temperature as indicated by imagery in the 8 to 12 μm band never differed significantly between herbicide-treated and control plots. This resulted from the close coupling of leaf temperatures with air temperature, and the tendency of wind and environmental moisture to equalize temperatures among treatments. The high sensitivity to stress of reflectance imagery at 694 ± 3 nm supports similar conclusions of earlier work, and indicates that imagery in the 690 to 700 nm band is far superior to thermal imagery for the early and pre-visual detection of stress in pine. KW - Pinus taeda, Pinus elliottii, plant stress, diuron, bromacil, chlorosis, canopy reflectance, canopy temperature, narrow-band imagery ER - TY - JOUR ID - gitelson1994 AU - Gitelson, Anatoly AU - Merzlyak, Mark N. TI - Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves DO - 10.1016/1011-1344(93)06963-4 T2 - Journal of Photochemistry and Photobiology B: Biology PY - 1994 SN - 1011-1344 VL - 22 IS - 3 SP - 247-252 AB - The signature analysis of reflectance spectra of autumn Aesculus hippocastanum L. and Acer platanoides L. leaves revealed spectral bands maximally (near 550 and 705 nm) and minimally (at more than 750 nm) sensitive to variation in chlorophyll content, which can serve as sensitive indicators of early stages of leaf senescence. Several functions of reflectance directly proportional to chlorophyll-a have been found. These make it possible to determine chlorophyll accurately with a background of high pigment concentration. KW - Chlorophyll-a, Leaf, Reflectance spectrum ER - TY - JOUR ID - sims2002 AU - Sims, Daniel A. AU - Gamon, John A. TI - Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages UR - http://www.sciencedirect.com/science/article/pii/S003442570200010X DO - 10.1016/s0034-4257(02)00010-x T2 - Remote Sensing of Environment PY - 2002 SN - 0034-4257 VL - 81 IS - 2–3 SP - 337-354 AB - Leaf pigment content can provide valuable insight into the physiological performance of leaves. Measurement of spectral reflectance provides a fast, nondestructive method for pigment estimation. A large number of spectral indices have been developed for estimation of leaf pigment content. However, in most cases these indices have been tested for only one or at most a few related species and thus it is not clear whether they can be applied across species with varying leaf structural characteristics. Our objective in this study was to develop spectral indices for prediction of leaf pigment content that are relatively insensitive to species and leaf structure variation and thus could be applied in larger scale remote-sensing studies without extensive calibration. We also quantified the degree of spectral interference between pigments when multiple pigments occur within the same leaf tissue. We found that previously published spectral indices provided relatively poor correlations with leaf chlorophyll content when applied across a wide range of species and plant functional types. Leaf surface reflectance appeared to be the most important factor in this variation. By developing a new spectral index that reduces the effect of differences in leaf surface reflectance, we were able to significantly improve the correlations with chlorophyll content. We also found that an index based on the first derivative of reflectance in the red edge region was insensitive to leaf structural variation. The presence of other pigments did not significantly affect estimation of chlorophyll from spectral reflectance. Previously published carotenoid and anthocyanin indices performed poorly across the whole data set. However, we found that the photochemical reflectance index (PRI, originally developed for estimation of xanthophyll cycle pigment changes) was related to carotenoid/chlorophyll ratios in green leaves. This result has important implications for the interpretation of PRI measured at both large and small scales. Our results demonstrate that spectral indices can be applied across species with widely varying leaf structure without the necessity for extensive calibration for each species. This opens up new possibilities for assessment of vegetation health in heterogeneous natural environments. ER - TY - JOUR ID - zarco-tejada2001 AU - Zarco-Tejada, P. J. AU - Miller, J. R. AU - Noland, T. L. AU - Mohammed, G. H. AU - Sampson, P. H. TI - Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data T2 - IEEE Transactions on Geoscience and Remote Sensing PY - 2001 VL - 39 SP - 1491−1507 ER - TY - ELEC ID - idb AU - Henrich, V. AU - Krauss, G. AU - Götze, C. AU - Sandow, C. TI - The IndexDatabase UR - https://www.indexdatabase.de/ CY - Bonn PY - 2011 DA - 2011 ER -