Summaries of the Fifth Annual JPL Airborne Earth Science Workshop. Volume 3: AIRSAR Workshop

This publication is the third containing summaries for the Fifth Annual JPL Airborne Earth Science Workshop, held in Pasadena, California, on January 23-26, 1995. The main workshop is divided into three smaller workshops as follows: (1) The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) workshop, on January 23-24. The summaries for this workshop appear in Volume 1; (2) The Airborne synthetic Aperture Radar (AIRSAR) workshop, on January 25-26. The summaries for this workshop appear in this volume; and (3) The Thermal Infrared Multispectral Scanner (TIMS) workshop, on January 26. The summaries for this workshop appear in Volume 2

Site Characterization Using Integrated Imaging Analysis Methods on Satellite Data of the Islamabad, Pakistan, Region

We develop an integrated digital imaging analysis approach to produce a first-approximation site characterization map for Islamabad, Pakistan, based on remote-sensing data. We apply both pixel-based and object-oriented digital imaging analysis methods to characterize detailed (1:50,000) geomorphology and geology from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery. We use stereo-correlated relative digital elevation models (rDEMs) derived from ASTER data, as well as spectra in the visible near-infrared (VNIR) to thermal infrared (TIR) domains. The resulting geomorphic units in the study area are classified as mountain (including the Margala Hills and the Khairi Murat Ridge), piedmont, and basin terrain units. The local geologic units are classified as limestone in the Margala Hills and the Khairi Murat Ridge and sandstone rock types for the piedmonts and basins. Shear-wave velocities for these units are assigned in ranges based on established correlations in California. These ranges include Vs30-values to be greater than 500 m/sec for mountain units, 200–600 m/sec for piedmont units, and less than 300 m/sec for basin units. While the resulting map provides the basis for incorporating site response in an assessment of seismic hazard for Islamabad, it also demonstrates the potential use of remote-sensing data for site characterization in regions where only limited conventional mapping has been done

Shuttle imaging radar-C science plan

The Shuttle Imaging Radar-C (SIR-C) mission will yield new and advanced scientific studies of the Earth. SIR-C will be the first instrument to simultaneously acquire images at L-band and C-band with HH, VV, HV, or VH polarizations, as well as images of the phase difference between HH and VV polarizations. These data will be digitally encoded and recorded using onboard high-density digital tape recorders and will later be digitally processed into images using the JPL Advanced Digital SAR Processor. SIR-C geologic studies include cold-region geomorphology, fluvial geomorphology, rock weathering and erosional processes, tectonics and geologic boundaries, geobotany, and radar stereogrammetry. Hydrology investigations cover arid, humid, wetland, snow-covered, and high-latitude regions. Additionally, SIR-C will provide the data to identify and map vegetation types, interpret landscape patterns and processes, assess the biophysical properties of plant canopies, and determine the degree of radar penetration of plant canopies. In oceanography, SIR-C will provide the information necessary to: forecast ocean directional wave spectra; better understand internal wave-current interactions; study the relationship of ocean-bottom features to surface expressions and the correlation of wind signatures to radar backscatter; and detect current-system boundaries, oceanic fronts, and mesoscale eddies. And, as the first spaceborne SAR with multi-frequency, multipolarization imaging capabilities, whole new areas of glaciology will be opened for study when SIR-C is flown in a polar orbit

REMOTELY MAPPING SURFACE ROUGHNESS ON ALLUVIAL FANS: AN APPROACH FOR UNDERSTANDING DEPOSITIONAL PROCESSES

A technique using multiple images from a single year to find surface roughness-based differences in directional radiance across sparsely-vegetated surfaces has been developed to help efficiently map and understand depositional processes on active, alluvial fan surfaces in Death Valley, CA. Surface roughness on the scales of grain size and topography on alluvial fan surfaces is expected to vary with depositional processes, including fluvial and mass movement events, as well as surface runoff and eolian processes. The Bidirectional Reflectance Distribution Function (BRDF) describes changes in reflectance based on changes in the angle of irradiance and radiation-scattering effects of a surface. Using Landsat 7 satellite imagery, the changes in observed surface reflectance, resulting from seasonal changes in the angle of incoming, solar radiation, can be classified and interpreted to show differences in surface roughness. Observations of grain size and topography, and other variables that affect reflectance (e.g. vegetation, composition) from field sites on eastern, alluvial fan surfaces in Death Valley show that seasonal changes in surface radiation are related to surface shadowing that result from grain size primarily, but also topography. Statistical tests show that the total amount of sand found on the land surface is the most correlated variable with the remote sensing method. Spatial relationships of surface features provide further interpretation of depositional process in addition to surface roughness. Airborne Laser Swath Mapping (ALSM) data was also used to map surface roughness, and shows positive trends with the Landsat imagery analyses. Mapping surface roughness over large areas and in remote settings using multi-spectral, satellite imagery has the potential to be a powerful tool for studying the geomorphology of both Earth and Mars

SAR (Synthetic Aperture Radar). Earth observing system. Volume 2F: Instrument panel report

The scientific and engineering requirements for the Earth Observing System (EOS) imaging radar are provided. The radar is based on Shuttle Imaging Radar-C (SIR-C), and would include three frequencies: 1.25 GHz, 5.3 GHz, and 9.6 GHz; selectable polarizations for both transmit and receive channels; and selectable incidence angles from 15 to 55 deg. There would be three main viewing modes: a local high-resolution mode with typically 25 m resolution and 50 km swath width; a regional mapping mode with 100 m resolution and up to 200 km swath width; and a global mapping mode with typically 500 m resolution and up to 700 km swath width. The last mode allows global coverage in three days. The EOS SAR will be the first orbital imaging radar to provide multifrequency, multipolarization, multiple incidence angle observations of the entire Earth. Combined with Canadian and Japanese satellites, continuous radar observation capability will be possible. Major applications in the areas of glaciology, hydrology, vegetation science, oceanography, geology, and data and information systems are described

Spaceborne radar observations: A guide for Magellan radar-image analysis

Geologic analyses of spaceborne radar images of Earth are reviewed and summarized with respect to detecting, mapping, and interpreting impact craters, volcanic landforms, eolian and subsurface features, and tectonic landforms. Interpretations are illustrated mostly with Seasat synthetic aperture radar and shuttle-imaging-radar images. Analogies are drawn for the potential interpretation of radar images of Venus, with emphasis on the effects of variation in Magellan look angle with Venusian latitude. In each landform category, differences in feature perception and interpretive capability are related to variations in imaging geometry, spatial resolution, and wavelength of the imaging radar systems. Impact craters and other radially symmetrical features may show apparent bilateral symmetry parallel to the illumination vector at low look angles. The styles of eruption and the emplacement of major and minor volcanic constructs can be interpreted from morphological features observed in images. Radar responses that are governed by small-scale surface roughness may serve to distinguish flow types, but do not provide unambiguous information. Imaging of sand dunes is rigorously constrained by specific angular relations between the illumination vector and the orientation and angle of repose of the dune faces, but is independent of radar wavelength. With a single look angle, conditions that enable shallow subsurface imaging to occur do not provide the information necessary to determine whether the radar has recorded surface or subsurface features. The topographic linearity of many tectonic landforms is enhanced on images at regional and local scales, but the detection of structural detail is a strong function of illumination direction. Nontopographic tectonic lineaments may appear in response to contrasts in small-surface roughness or dielectric constant. The breakpoint for rough surfaces will vary by about 25 percent through the Magellan viewing geometries from low to high Venusian latitudes. Examples of anomalies and system artifacts that can affect image interpretation are described

Multiple Origins of Sand-Dune Topography Interactions on Titan

The interaction between sand-dune patterns and topographic obstacles is a primary signal of sand transport direction in the equatorial region of Saturn’s moon, Titan. A streamlined, tear drop appearance emerges as dune crestlines wrap around topographic obstacles and a dune-free zone develops on the east side of many obstacles. The morphologies formed by this interaction give the impression that sand transport is from the west to east in Titan’s equatorial region. However, this transport direction is in conflict with the expected wind regime based on Titan’s rotation and many global climate models. The physical mechanism behind the interpretation of the dune-obstacle interaction is not well explained, leaving a gap in the understanding of the sand transport and equatorial wind directions on Titan. In order to better understand this interaction and evaluate wind and sand transport direction on Titan, we take a two-fold approach to studying dune-topography interactions. We use optical imagery on Earth and Cassini radar imagery on Titan in ArcGIS to map spatial variations in dune crestline orientations proximal to obstacles. We also use digital elevation models to analyze the three-dimensional geometry – height, length, width and slope of the dune-topography relationships on Earth. We identify three types of obstacles: positive topography, neutral topography and negative topography. Positive topography is defined as double or more in relief than the surrounding dune height, neutral topography is at the surrounding dune height and negative topography is lower than the surrounding dune heights. Results show that dune patterns are deflected further away from positive relief than neutral or negative relief. Furthermore, positive relief has a dune free obstacle shadow, neutral relief has a smaller dune free obstacle shadow to no obstacle shadow zone, and negative relief has an obstacle shadow zone characterized by increased dune wavelength proximal to the obstacle’s wind-shielded side. The obstacle height, width, slope and wind variability appear to play a role in determining if a lee-dune, rather than a dune-free lee-zone forms. These factors provide further geomorphic evidence that sand transport directions on Titan were from west to east during the formation of the dune-obstacle interaction morphologies

Toward the detection of permafrost using land-surface temperature mapping

Permafrost is degrading under current warming conditions, disrupting infrastructure, releasing carbon from soils, and altering seasonal water availability. Therefore, it is important to quantitatively map the change in the extent and depth of permafrost. We used satellite images of land-surface temperature to recognize and map the zero curtain, i.e., the isothermal period of ground temperature during seasonal freeze and thaw, as a precursor for delineating permafrost boundaries from remotely sensed thermal-infrared data. The phase transition of moisture in the ground allows the zero curtain to occur when near-surface soil moisture thaws or freezes, and also when ice-rich permafrost thaws or freezes. We propose that mapping the zero curtain is a precursor to mapping permafrost at shallow depths. We used ASTER and a MODIS-Aqua daily afternoon land-surface temperature (LST) timeseries to recognize the zero curtain at the 1-km scale as a "proof of concept. " Our regional mapping of the zero curtain over an area around the 7000 m high volcano Ojos del Salado in Chile suggests that the zero curtain can be mapped over arid regions of the world. It also indicates that surface heterogeneity, snow cover, and cloud cover can hinder the effectiveness of our approach. To be of practical use in many areas, it may be helpful to reduce the topographic and compositional heterogeneity in order to increase the LST accuracy. The necessary finer spatial resolution to reduce these problems is provided by ASTER (90 m).Fil: Batbaatar, Jigjidsurengiin. University of Washington; Estados UnidosFil: Gillespie , Alan R.. University of Washington; Estados UnidosFil: Sletten, Ronald S.. University of Washington; Estados UnidosFil: Mushkin , Amit. University of Washington; Estados UnidosFil: Amit, Rivka. Geological Survey Of Israel; IsraelFil: Trombotto, Dario Tomas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Liu , Lu. University of Washington; Estados UnidosFil: Petrie, Gregg. University of Washington; Estados Unido