Spectral Analysis of Absorption Features for Mapping Vegetation Cover and Microbial Communities in Yellowstone National Park Using AVIRIS Data

This report summarizes the application of imaging spectroscopy to the study of biotic components of Yellowstone National Park ecosystems. Maps of vegetation cover and hot-spring microorganisms were generated using spectral-feature analysis of data from the airborne visible and infrared imaging spectrometer (AVIRIS). AVIRIS data were calibrated to surface reflectance using a radiative-transfer model and a ground-calibration target. A spectral library of canopy-reflectance signatures was created by averaging pixels of reflectance data over known occurrences of 27 vegetation cover types in Yellowstone. Distributions of these vegetation types were determined by comparing absorption features of the vegetation in the spectral library with every pixel of the AVIRIS data using continuum removal and spectral analysis in the U.S. Geological Survey’s Tetracorder expert system. Analysis of the chlorophyll- and leaf-water-absorption features (centered near 0.68, 0.98, and 1.20 μm, respectively) allowed accurate identification of vegetation cover types. Conifer cover types of lodgepole pine, whitebark pine, Douglas fir, and a mixed Engelmann spruce/subalpine fir class were spectrally identified and their distributions were mapped in AVIRIS images. Field-reflectance measurements revealed a distinct spectral signature of hot-spring microorganisms. These field measurements were added to the vegetation spectral library, and maps showing the distributions of microbial mats in the geyser basins of Yellowstone were produced

Viewing instruction set design as an optimization problem

This paper reviews past attempts to systematize in-struction set design and offers an alternative approach. Our technique is based on compaction of microopera-tions to form instructions. The compaction is done in such a way as to optimize a metric which is a function of cycle count, code size, and instruction set size. To illus-trate our technique, optimal instruction sets are derived for data structure creation in Prolog.

Galactic chemical evolution of heavy elements: from Barium to Europium

We follow the chemical evolution of the Galaxy for elements from Ba to Eu, using an evolutionary model suitable to reproduce a large set of Galactic (local and non local) and extragalactic constraints. Input stellar yields for neutron-rich nuclei have been separated into their s-process and r-process components. The production of s-process elements in thermally pulsing asymptotic giant branch stars of low mass proceeds from the combined operation of two neutron sources: the dominant reaction 13C(alpha,n)16O, which releases neutrons in radiative conditions during the interpulse phase, and the reaction 22Ne(alpha,n)25Mg, marginally activated during thermal instabilities. The resulting s-process distribution is strongly dependent on the stellar metallicity. For the standard model discussed in this paper, it shows a sharp production of the Ba-peak elements around Z = Z_sun/4. Concerning the r-process yields, we assume that the production of r-nuclei is a primary process occurring in stars near the lowest mass limit for Type II supernova progenitors. The r-contribution to each nucleus is computed as the difference between its solar abundance and its s-contribution given by the Galactic chemical evolution model at the epoch of the solar system formation. We compare our results with spectroscopic abundances of elements from Ba to Eu at various metallicities (mainly from F and G stars) showing that the observed trends can be understood in the light of the present knowledge of neutron capture nucleosynthesis. Finally, we discuss a number of emerging features that deserve further scrutiny.Comment: 34 pages, 13 figures. accepted by Ap

Horizontal Branch Stars: The Interplay between Observations and Theory, and Insights into the Formation of the Galaxy

We review HB stars in a broad astrophysical context, including both variable and non-variable stars. A reassessment of the Oosterhoff dichotomy is presented, which provides unprecedented detail regarding its origin and systematics. We show that the Oosterhoff dichotomy and the distribution of globular clusters (GCs) in the HB morphology-metallicity plane both exclude, with high statistical significance, the possibility that the Galactic halo may have formed from the accretion of dwarf galaxies resembling present-day Milky Way satellites such as Fornax, Sagittarius, and the LMC. A rediscussion of the second-parameter problem is presented. A technique is proposed to estimate the HB types of extragalactic GCs on the basis of integrated far-UV photometry. The relationship between the absolute V magnitude of the HB at the RR Lyrae level and metallicity, as obtained on the basis of trigonometric parallax measurements for the star RR Lyrae, is also revisited, giving a distance modulus to the LMC of (m-M)_0 = 18.44+/-0.11. RR Lyrae period change rates are studied. Finally, the conductive opacities used in evolutionary calculations of low-mass stars are investigated. [ABRIDGED]Comment: 56 pages, 22 figures. Invited review, to appear in Astrophysics and Space Scienc

Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data

Knowledge of the distribution of vegetation on the landscape can be used to investigate ecosystem functioning. The sizes and movements of animal populations can be linked to resources provided by different plant species. This paper demonstrates the application of imaging spectroscopy to the study of vegetation in Yellowstone National Park (Yellowstone) using spectral feature analysis of data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). AVIRIS data, acquired on August 7, 1996, were calibrated to surface reflectance using a radiative transfer model and field reflectance measurements of a ground calibration site. A spectral library of canopy reflectance signatures was created by averaging pixels of the calibrated AVIRIS data over areas of known forest and nonforest vegetation cover types in Yellowstone. Using continuum removal and least squares fitting algorithms in the US Geological Survey’s Tetracorder expert system, the distributions of these vegetation types were determined by comparing the absorption features of vegetation in the spectral library with the spectra from the AVIRIS data. The 0.68 μm chlorophyll absorption feature and leaf water absorption features, centered near 0.98 and 1.20 μm, were analyzed. Nonforest cover types of sagebrush, grasslands, willows, sedges, and other wetland vegetation were mapped in the Lamar Valley of Yellowstone. Conifer cover types of lodgepole pine, whitebark pine, Douglas fir, and mixed Engelmann spruce/subalpine fir forests were spectrally discriminated and their distributions mapped in the AVIRIS images. In the Mount Washburn area of Yellowstone, a comparison of the AVIRIS map of forest cover types to a map derived from air photos resulted in an overall agreement of 74.1% (kappa statistic = 0.62)

Simultaneous Comparison of RF Probe Techniques for Determination of Ionospheric Electron Density

Three radio-frequency( RF) probe techniques--standingw ave impedancep robe, plasma frequency probe, and resonance rectification probe--have been simultaneously flown on rockets for ionospheric measurements. The results of the three probes are compared to establisht he relationshipsa mong them. The impedancep robe and plasma frequency probe measurements are in general agreement with each other and with other independent measurements. A model of antenna-ionosphericin teraction is used that neglects ion sheath and magnetic field effects. The resonance rectification probe shows resonance effects including peaks.and minimums that are a function of probe dc bias. The frequency of the dominant resonance peak does not correspond to the plasma frequency but is near a lower frequency of an impedances eriesr esonancea s measuredb y the plasmaf requencyp robe