Remote sensing of earth terrain

Abstracts from 46 refereed journal and conference papers are presented for research on remote sensing of earth terrain. The topics covered related to remote sensing include the following: mathematical models, vegetation cover, sea ice, finite difference theory, electromagnetic waves, polarimetry, neural networks, random media, synthetic aperture radar, electromagnetic bias, and others

Radiative transfer theory for polarimetric remote sensing of pine forest

The radiative transfer theory is applied to interpret polarimetric radar backscatter from pine forest with clustered vegetation structures. To take into account the clustered structures with the radiative transfer theory, the scattering function of each cluster is calculated by incorporating the phase interference of scattered fields from each component. Subsequently, the resulting phase matrix is used in the radiative transfer equations to evaluate the polarimetric backscattering coefficients from random medium layers embedded with vegetation clusters. Upon including the multi-scale structures, namely, trunks, primary and secondary branches, as well as needles, we interpret and simulate the polarimetric radar responses from pine forest for different frequencies and looking angles. The preliminary results are shown to be in good agreement with the measured backscattering coefficients at the Landes maritime pine forest during the MAESTRO-1 experiment

Application of theoretical models to active and passive remote sensing of saline ice

The random medium model is used to interpret the polarimetric active and passive measurements of saline ice. The ice layer is described as a host ice medium embedded with randomly distributed inhomogeneities, and the underlying sea water is considered as a homogeneous half-space. The scatterers in the ice layer are modeled with an ellipsoidal correlation function. The orientation of the scatterers is vertically aligned and azimuthally random. The strong permittivity fluctuation theory is employed to calculate the effective permittivity and the distorted Born approximation is used to obtain the polarimetric scattering coefficients. We also calculate the thermal emissions based on the reciprocity and energy conservation principles. The effects of the random roughness at the air-ice, and ice-water interfaces are accounted for by adding the surface scattering to the volume scattering return incoherently. The above theoretical model, which has been successfully applied to analyze the radar backscatter data of the first-year sea ice near Point Barrow, AK, is used to interpret the measurements performed in the CRRELEX program

Microwave remote sensing of earth terrain

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1984.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.Vita.Bibliography: leaves 307-318.by Robert Tong-Ik Shin.Ph.D

Bioreactor scalability: laboratory-scale bioreactor design influences performance, ecology, and community physiology in expanded granular sludge bed bioreactors

Studies investigating the feasibility of new, or improved, biotechnologies, such as wastewater treatment digesters, inevitably start with laboratory-scale trials. However, it is rarely determined whether laboratory-scale results reflect full-scale performance or microbial ecology. The Expanded Granular Sludge Bed (EGSB) bioreactor, which is a high-rate anaerobic digester configuration, was used as a model to address that knowledge gap in this study. Two laboratory-scale idealizations of the EGSB—a one-dimensional and a three- dimensional scale-down of a full-scale design—were built and operated in triplicate under near-identical conditions to a full-scale EGSB. The laboratory-scale bioreactors were seeded using biomass obtained from the full-scale bioreactor, and, spent water from the distillation of whisky from maize was applied as substrate at both scales. Over 70 days, bioreactor performance, microbial ecology, and microbial community physiology were monitored at various depths in the sludge-beds using 16S rRNA gene sequencing (V4 region), specific methanogenic activity (SMA) assays, and a range of physical and chemical monitoring methods. SMA assays indicated dominance of the hydrogenotrophic pathway at full-scale whilst a more balanced activity profile developed during the laboratory-scale trials. At each scale, Methanobacterium was the dominant methanogenic genus present. Bioreactor performance overall was better at laboratory-scale than full-scale. We observed that bioreactor design at laboratory-scale significantly influenced spatial distribution of microbial community physiology and taxonomy in the bioreactor sludge-bed, with 1-D bioreactor types promoting stratification of each. In the 1-D laboratory bioreactors, increased abundance of Firmicutes was associated with both granule position in the sludge bed and increased activity against acetate and ethanol as substrates. We further observed that stratification in the sludge-bed in 1-D laboratory-scale bioreactors was associated with increased richness in the underlying microbial community at species (OTU) level and improved overall performance

Remote sensing of Earth terrain

Remote sensing of earth terrain is examined. The layered random medium model is used to investigate the fully polarimetric scattering of electromagnetic waves from vegetation. The model is used to interpret the measured data for vegetation fields such as rice, wheat, or soybean over water or soil. Accurate calibration of polarimetric radar systems is essential for the polarimetric remote sensing of earth terrain. A polarimetric calibration algorithm using three arbitrary in-scene reflectors is developed. In the interpretation of active and passive microwave remote sensing data from the earth terrain, the random medium model was shown to be quite successful. A multivariate K-distribution is proposed to model the statistics of fully polarimetric radar returns from earth terrain. In the terrain cover classification using the synthetic aperture radar (SAR) images, the applications of the K-distribution model will provide better performance than the conventional Gaussian classifiers. The layered random medium model is used to study the polarimetric response of sea ice. Supervised and unsupervised classification procedures are also developed and applied to synthetic aperture radar polarimetric images in order to identify their various earth terrain components for more than two classes. These classification procedures were applied to San Francisco Bay and Traverse City SAR images

Mitochondrial ryanodine receptors and other mitochondrial Ca2+ permeable channels

AbstractCa2+ channels that underlie mitochondrial Ca2+ transport first reported decades ago have now just recently been precisely characterized electrophysiologically. Numerous data indicate that mitochondrial Ca2+ uptake via these channels regulates multiple intracellular processes by shaping cytosolic and mitochondrial Ca2+ transients, as well as altering the cellular metabolic and redox state. On the other hand, mitochondrial Ca2+ overload also initiates a cascade of events that leads to cell death. Thus, characterization of mitochondrial Ca2+ channels is central to a comprehensive understanding of cell signaling. Here, we discuss recent progresses in the biophysical and electrophysiological characterization of several distinct mitochondrial Ca2+ channels

Type 1 ryanodine receptor in cardiac mitochondria: Transducer of excitation–metabolism coupling

AbstractMitochondria in a variety of cell types respond to physiological Ca2+ oscillations in the cytosol dynamically with Ca2+ uptakes. In heart cells, mitochondrial Ca2+ uptakes occur by a ruthenium red-sensitive Ca2+ uniporter (CaUP), a rapid mode of Ca2+ uptake (RaM) and a ryanodine receptor (RyR) localized in the inner mitochondrial membrane (IMM). Three subtypes of RyRs have been described and cloned, however, the subtype identity of the mitochondrial ryanodine receptor (mRyR) is unknown. Using subtype specific antibodies, we characterized the mRyR in the IMM from rat heart as RyR1. These results are substantiated by the absence of RyR protein in heart mitochondria from RyR1 knockout mice. The bell-shape Ca2+-dependent [3H]ryanodine binding curve and its modulation by caffeine and adenylylmethylenediphosphonate (AMPPCP) give further evidence that mRyR functions pharmacologically like RyR1. Ryanodine prevents mitochondrial Ca2+ uptake induced by raising extramitochondrial Ca2+ to 10 μM. Similarly, ryanodine inhibits oxidative phosphorylation stimulated by 10 μM extramitochondrial Ca2+. In summary, our results show that the mRyR in cardiac muscle has similar biochemical and pharmacological properties to the RyR1 in the sarcoplasmic reticulum (SR) of skeletal muscle. These results could also suggest an efficient mechanism by which mitochondria sequesters Ca2+ via mRyR during excitation–contraction coupling to stimulate oxidative phosphorylation for ATP production to meet metabolic demands. Thus, the mRyR functions as a transducer for excitation–metabolism coupling

Electromagnetic Wave Theory and Remote Sensing

Contains reports on seven research projects.Joint Services Electronics Program (Contract DAAG29-78-C-0020)Joint Services Electronics Program (Contract DAAG29-80-C-0104)National Science Foundation (Grant ENG78-23145)National Aeronautics and Space Administration (Contract NAS5-24139)Schlumberger Doll Research CenterU.S. Air Force - Hanscom (Contract F19628-80-C-0052)National Aeronautics and Space Administration (Contract NAG 5-16)Draper Laboratory (Contract DL-H-182642