Evaluation of the Photochemical Reflectance Index in AVIRIS Imagery
نویسنده
چکیده
In this paper, we evaluate the potential for extracting the “photochemical reflectance index” (PRI; previously called the “physiological reflectance index”) from AVIRIS data. This index, which is derived from narrow-band reflectanceat531 and 570 nm, has proven to be a useful indicator of photosynthetic function at the leaf and canopy scales (Gamon and Field 1992, Gamon et al. 1992, Pcfiuelas et al. in review). At the leaf level, PRI varies with photosynthetic capacity, radiation-use cfficicncy, and vegetation type (unpublished data). This finding is consistent with the hypothesis that vegetation types exhibiting chronically reduced photosynthesis during periods of stress (e.g. drought-tolerant evergreens) invest proportionally more in photoproketivc proecsses than vegetation with high photosynthetic capacity (e.g. crops or deciduous perennials). Vcrlical transects in tropical and boreal forest canopies have indicated declines in PRI associated with downrcgulation of photosynthesis at the canopy tops under sunny, dry midday conditions (unpublished data). Tlris reduced PRI in upper canopy lCVCIS provides a further basis for examining this signal with the “view from above” afforded by aircraft overflights. Although many factors could eonfound interpretation of a subtle physiological signal at the landscape scale, wc conducted a preliminary examination of PRI cxtractcd from existing AVIRIS imagery of Stanford Universit y’s Jasper Ridge Biological Preserve obtained on the June 2nd, 1992, overflight. The goal was to usc the hyperspectral capabilities of AVIRIS to evaluate the potential of this index for obtaining useful physiological data at the landscape sealc. The expectation based on leafand canopy-level s[udics was that regions containing vegetation of reduced photosynthetic capacity (e.g. chaparral or evergreen woodland) would exhibh lower PRI values than regions of high capacity (e.g. deciduous woodland).
منابع مشابه
Improvement of the Classification of Hyperspectral images by Applying a Novel Method for Estimating Reference Reflectance Spectra
Hyperspectral image containing high spectral information has a large number of narrow spectral bands over a continuous spectral range. This allows the identification and recognition of materials and objects based on the comparison of the spectral reflectance of each of them in different wavelengths. Hence, hyperspectral image in the generation of land cover maps can be very efficient. In the hy...
متن کاملSpectral Dimensionality and Scale of Urban Radiance
Characterization of urban radiance and reflectance is important for understanding the effects of solar energy flux on the urban environment as well as for satellite mapping of urban settlement patterns. Spectral mixture analyses of Landsat and Ikonos imagery suggest that the urban radiance field can very often be described with combinations of three or four spectral endmembers. Dimensionality e...
متن کاملAssessing canopy PRI for water stress detection with diurnal airborne imagery
A series of diurnal airborne campaigns were conducted over an orchard field to assess the canopy Photochemical Reflectance Index (PRI) as an indicator of water stress. Airborne campaigns over two years were conducted with the Airborne Hyperspectral Scanner (AHS) over an orchard field to investigate changes in PRI, in the Transformed Chlorophyll Absorption in Reflectance Index (TCARI) normalized...
متن کاملMapping and Spatial Characterization of Nonnative Grasses in the Big Island, Hawaii Using Hyperspectral Imagery
A cross-sensor (hyperspectral and high-resolution data sets) hybrid approach was used to map grass species in the coastal lowland area of the Hawaii Volcanoes National Park. AVIRIS imagery was selected for hyperspectral data and its 20-meter resolution was compensated with IKONOS 1-meter resolution data. Three main native and nonnative grass species were focused in the study, including broomsed...
متن کاملDetection of Flowering Leafy Spurge With Satellite Multispectral Imagery
The distribution and abundance of flowering leafy spurge (Euphorbia esula L.) can be determined with hyperspectral remote sensing, but the availability of hyperspectral sensors is limited. Hence, the Landsat 7 Enhanced Thematic Mapper Plus (ETMþ) and System Pour d’Observation de la Terre (SPOT) 4 imagery were acquired to test the ability of these sensors to detect leafy spurge. The green:red ba...
متن کامل