Satellite Remote Sensing of Earthquake, Volcano, Flood, Landslide and Coastal Inundation Hazards
Satellite Remote Sensing of Earthquake, Volcano, Flood, Landslide and Coastal Inundation Hazards
www.elsevier.com/locate/isprsjprs
Abstract
    Satellite remote sensing is providing a systematic, synoptic framework for advancing scientific knowledge of the Earth as a
complex system of geophysical phenomena that, directly and through interacting processes, often lead to natural hazards.
Improved and integrated measurements along with numerical modeling are enabling a greater understanding of where and when
a particular hazard event is most likely to occur and result in significant socioeconomic impact. Geospatial information products
derived from this research increasingly are addressing the operational requirements of decision support systems used by policy
makers, emergency managers and responders from international and federal to regional, state and local jurisdictions. This forms
the basis for comprehensive risk assessments and better-informed mitigation planning, disaster assessment and response
prioritization. Space-based geodetic measurements of the solid Earth with the Global Positioning System, for example,
combined with ground-based seismological measurements, are yielding the principal data for modeling lithospheric processes
and for accurately estimating the distribution of potentially damaging strong ground motions which is critical for earthquake
engineering applications. Moreover, integrated with interferometric synthetic aperture radar, these measurements provide
spatially continuous observations of deformation with sub-centimeter accuracy. Seismic and in situ monitoring, geodetic
measurements, high-resolution digital elevation models (e.g. from InSAR, Lidar and digital photogrammetry) and imaging
spectroscopy (e.g. using ASTER, MODIS and Hyperion) are contributing significantly to volcanic hazard risk assessment, with
the potential to aid land use planning in developing countries where the impact of volcanic hazards to populations and lifelines
is continually increasing. Remotely sensed data play an integral role in reconstructing the recent history of the land surface and
in predicting hazards due to flood and landslide events. Satellite data are addressing diverse observational requirements that are
imposed by the need for surface, subsurface and hydrologic characterization, including the delineation of flood and landslide
zones for risk assessments. Short- and long-term sea-level change and the impact of ocean-atmosphere processes on the coastal
land environment, through flooding, erosion and storm surge for example, define further requirements for hazard monitoring
and mitigation planning. The continued development and application of a broad spectrum of satellite remote sensing systems
and attendant data management infrastructure will contribute needed baseline and time series data, as part of an integrated
global observation strategy that includes airborne and in situ measurements of the solid Earth. Multi-hazard modeling
0924-2716/$ - see front matter D 2005 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V.
All rights reserved.
doi:10.1016/j.isprsjprs.2005.02.002
186                    D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
capabilities, in turn, will result in more accurate forecasting and visualizations for improving the decision support tools and
systems used by the international disaster management community.
D 2005 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights
reserved.
Keywords: Satellite remote sensing; Imaging spectroscopy; Interferometric synthetic aperture radar (InSAR); Global positioning system (GPS);
risk mitigation; Disaster response; Decision support system (DSS); Natural hazards
Fig. 1. (Left) InSAR time series inversion map of the radar line-of-sight deformation average velocity, overlying the multi-look SAR amplitude
image (gray scale). Small black squares mark Southern California Integrated GPS Network (SCIGN) GPS site locations. (Right) InSAR time
series (black triangles) at selected points. Plots compare the InSAR time series to SCIGN GPS (red*) time series for indicated sites (produced
from European Space Agency remote sensing data, ERS-1 and ERS-2. Figure courtesy P. Lundgren, NASA/JPL; see also Lanari et al., 2004).
mechanical properties of the Earth’s crust and litho-                     the resultant patterns of damage (see Lohman et al.,
sphere help to determine what controls the spatial and                    2002). This is critical for effective risk management.
temporal characteristics of earthquakes. For example,                        While there are in operation notably successful
surface displacements due to the 2003 Bam, Iran,                          dense GPS geodetic networks in regions prone to
earthquake were mapped using ENVISAT radar data                           potentially catastrophic seismic and/or volcanic
to reveal that over 2 m of slip occurred at depth on a                    events, such as southern California (Hudnut et al.,
blind strike-slip fault, where no morphological fea-                      2002) and particularly Japan (Shimada and Bock,
tures were present (Talebian et al., 2004). Space-based                   1992), economic constraints limit the widespread
observations of the entire earthquake cycle, including                    global deployment of these networks. Furthermore, a
the aseismic accumulation of strain between events                        lack of standard formats and established archives, plus
(Fielding et al., 2004) are critical for learning about                   limited accessibility for the different kinds of defor-
the phenomenology and for forecasting potentially                         mation data are major challenges for the integration of
hazardous earthquakes. Remote and in situ data that                       local GPS data globally, and the integration of GPS
support attendant scientific and engineering models                       data with older, heritage deformation data sets (IGOS
are necessary in order to understand the source-                          Geohazards Theme Report, 2004). The ability of
rupture process, fault plane geometry and thus infer                      geodetic data to resolve variations in slip patterns also
                   D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198           189
diminishes greatly with slip depth. Prediction of                high, particularly near plate boundaries (Bowin,
strong motion velocities from geodetic data alone                1991), are poorly sampled by short period waves
offers limited spectral response, thus being a poor              and global gravity data from abovementioned satel-
replacement for actual strong motion recordings that             lite systems are spatially continuous and uniquely
are critical to earthquake engineering. In either case,          complementary.
the spectrum of ground displacement signatures                       Finally, observations of land cover, land use and of
measurable by GPS and seismic networks is sampled                the built environment, structures and lifelines specif-
discretely.                                                      ically are a critical component of risk management
    Satellite remote sensing systems not only offer              and loss estimation methodologies. Integration of
spatially continuous information of the tectonic land-           high-resolution satellite remote sensing with InSAR
scape but also contribute to the understanding of                and airborne Light Detection and Ranging (LiDAR) is
specific fault systems. Combined with ground net-                being researched as a means to image, classify and
work data, remote sensing enables a better under-                inventory the built environment through the extraction
standing of displacements, and validation of slip                of land cover and digital terrain models (Gamba and
models that are cast in a regional setting of tectonic           Houshmand, 2002). This contributes to vulnerability
strain (Cakir et al., 2003) and help constrain source            assessments and to rapid post-disaster damage assess-
characterization (e.g. Lundgren and Stramondo,                   ment (Rejaie and Shinozuka, 2004), through integra-
2002). Satellite remote sensing observations are                 tion with demographic data, infrastructure and
providing insights into how stress is transferred                building stock databases in a geographic information
between fault systems from depth and to the surface,             system (GIS). Rapid damage assessment is critical for
how much energy is released by earthquakes and                   effective allocation of disaster response and relief
other modes of deformation (Argus et al., in press)              resources, including federal insurance assistance.
and how faults fail mechanically.                                Available satellite remote sensing systems, from civil
    In certain cases, earthquakes can produce global             space agencies and commercial imaging sources such
gravity perturbations that are detectable through                as IKONOS, OrbView and QuickBird, are witnessing
analysis of satellite data from missions dedicated to            increased utilization in disaster management research
gravity field determination, such as the Challenging             and operational domains.
Mini-satellite Payload (CHAMP), Gravity Recovery
and Climate Experiment (GRACE) and the Gravity
Field and Steady-State Ocean Circulation Explorer                3. Volcanic hazards
(GOCE). Coseismic gravity and geoid changes differ
from other, larger and more coherent high-frequency                 Subaerial volcanic eruptions occur often after long
variations such as Earth tides. The coseismic effects            intervals of dormancy and thus opportunities for direct
of great earthquakes such as the 1960 Chile, 1964                geophysical measurements are intermittent and spora-
and 2002 Alaska, and 2003 Hokkaido events cause                  dic. While there are numerous indicators of subaerial
global gravitational field changes that are sufficiently         volcanic activity, in addition to surface deformation
large to be detected by GRACE, for example, based                and seismicity–such as thermal emissions, and
on degree variance analysis using spherical harmonic             changes in gravity, emission of gasses plus ash and
representation of dislocation theory (Sun and Okubo,             clastic eruptions–little is known about the global
2004) and a normal mode technique comparing the                  levels of these activities and how these phenomena
degree amplitude spectra of select earthquakes with              are related. Furthermore, the physical mechanisms
GRACE sensitivity (Gross and Chao, 2001). Such                   that cause surface deformation and those that control
gravity data also can provide important constraints              the rates and styles of eruptions are poorly under-
on the interpretation of seismological data (Tondi et            stood. The ability to predict or otherwise forecast the
al., 2003), as for testing the shorter wavelength                timing, magnitude, and style of volcanic eruptions on
features of three-dimensional tomographic models                 the Earth’s land surface is an important yet generally
based on the inversion of short period seismic waves.            unmet objective in volcanic hazards assessment and
Many parts of the lithosphere, where heterogeneity is            mitigation planning (SESWG Report, 2002).
190                 D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
    An observation strategy that incorporates seismic             kilometers (Glaze and Baloga, 2003). The accuracy of
and in situ monitoring, geodetic measurements, high-              these models depends on the accuracy of the available
resolution topography [i.e. Digital Terrain Elevation             topographic data; measurements from the Shuttle
Data (DTED) Level 1) and hyperspectral imaging can                Radar Topography Mission (SRTM) provide invalu-
contribute significantly to volcanic hazard risk assess-          able data, particularly in remote regions where high-
ment, mitigation and response. Observational require-             resolution topographic data are unavailable (e.g.
ments for volcanic hazards include the three-                     Stevens et al., 2003). A monitoring strategy that
dimensional spatial distribution of seismicity; the               includes the use of such predictive flow models and
characteristic deformation of the volcanic edifice                risk zonation could support land use planning,
using geodetic and gravimetric techniques that include            particularly in developing countries where the impact
identification of faults, fractures, landslides and flank         of volcanic hazards to populations and lifelines is
instabilities, rift systems and calderas; characterization        continually increasing.
of gas and ash emissions by species (SO2, CO2) and                   Remote sensing indeed is defining a new paradigm
flux; and characterizing and monitoring of thermal                for volcanological observations (Pieri and Abrams,
features, their nature, location, temperature and                 2004). Imaging spectroscopy (or hyperspectral imag-
possible heat flux (CEOS, 2003).                                  ing) in both the solar-reflected (0.4–2.5 Am) and
    Fundamental to the understanding of eruptive                  thermal portions (3–5 Am and 8–12 Am) of the
systems are the identification and characterization of            spectrum, permits the identification, separation, and
active volcanoes—namely a comprehensive global                    measurement of subtle variations reflecting the over-
inventory. This would comprise not only geodetic                  lapping molecular absorption and constituent scatter-
observations, with InSAR for example (Pritchard and               ing signatures of materials present on the Earth’s
Simons, 2004), but spectroscopic observations of                  surface. Measurements of surface deposits and com-
debris flows and land surface, as with Hyperion–the               position, surface temperature, topography and surface
first spaceborne imaging spectrometer–onboard the                 deformation, SO2 and ash detection and tracking (Fig.
NASA Earth Observing-1 (EO-1) satellite (Crowley et               2), and modeling are needed to better characterize,
al., 2003; Wright and Flynn, 2003), and ash and                   understand and predict the volcanic hazards environ-
emissions (see Fig. 2), as with the NOAA Geosta-                  ment. Measurements made by the Airborne Visible/
tionary Operational Environmental Satellite (GOES)                Infrared Imaging Spectrometer (AVIRIS) and by
(Ellrod et al., 2003) and the Advanced Spaceborne                 Hyperion have been used to map subtle changes in
Thermal Emission and Reflection Radiometer                        near-surface rock chemistry and, thereby, identify
(ASTER) (Watanabe and Matsuo, 2003; Pieri and                     zones of volcanic-debris-flow susceptibility on the
Abrams, 2004). Such measurements and new obser-                   basis of rock strength inferred from specific minera-
vational tools are enabling a rapid growth in the                 logical indicators of hydrothermal alteration (Crowley
understanding of volcanic hazards worldwide.                      et al., 2003).
    Geodetic observations of volcanoes with GPS and                  Global monitoring, including of remote areas, at
InSAR are yielding high-resolution digital elevation              weekly time intervals with spaceborne systems would
models (DEMs) (Lu et al., 2003) and full vector                   enable the requisite sensitivity to low-level but more
deformation rate maps that complement traditional                 nearly continuous processes for assessment of risks in
ground-based geodetic techniques. These high-reso-                short-term early warning systems. In the event of an
lution measurements are required in order to reduce               eruption, shorter time intervals are desired, with
ambiguities in inferences of magma chamber geom-                  updating several times per day. However, in these
etry from outward structural changes (e.g. Lanari et              cases, only a spotlight view of a targeted area of the
al., 2003). Computer models of a variety of flows are             globe is needed, for example to provide volumetric
increasingly being use in volcanic hazard assessment              estimation of eruptive lava outflow and source
to predict potential areas of devastation (Stevens et al.,        modeling (Lundgren and Rosen, 2003), distinguishing
2003). Furthermore, DEMs are being used to predict                between surface deformation caused by magma
lava flow and lahar paths on remote volcanoes, with a             movement or fluid pressure build-up. A similar
promising level of accuracy over distances of tens of             rationale holds for the timing of spectroscopic
                      D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198                        191
Fig. 2. Mt. Etna is one of the world’s most active volcanoes and has been studied for centuries from the ground. On November 3, 2002 Mt.
Etna’s ash-laden plume was imaged by ASTER. The plume is seen blowing towards the south–southeast, over the city and airport of Catania,
Sicily. The previous day, the plume was blowing towards the northwest, and posed no hazard to Catania. The eruption of Mt. Etna, Europe’s
most active volcano, began on October 27. The image covers an area of 50.876.5 km [image courtesy M. Abrams, NASA/JPL].
measurements that provide sensitivity to heat flux and                  Resolution Imaging Spectroradiometer (MODIS)
gas emissions (e.g. SO2 and CO2) (Prata et al.,                         onboard the NASA Terra and Aura spacecraft are
submitted for publication). Proper temporal resolu-                     providing imagery of subaerial volcanoes on Earth
tion, temperature change sensitivity of the order of 0.5                every 2 days (Watson et al., 2004). There is now an
K and accurate measurements of gas emissions, along                     online archive of eruptions going back nearly 5 years,
with surface deformation maps, may allow the                            using MODIS data for global monitoring through
forecasting of eruptions. For example, the Moderate                     detection of thermal signatures (Wright et al., 2002,
192                 D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
2004). Retrieval algorithms are able to quantify                  monitor post-slide motion and characterize debris size
volcanic ash, ice, sulfates and SO2 using thermal                 and distribution (Singhroy, 1995).
infrared (8–12 Am). Identification of outgassed                       Contributions of spaceborne remote sensing to
species near vents and craters provides information               flood warning, disaster assessment and hazard reduc-
on subsurface activity and processes and may                      tion will rely on a broad-based program of remotely
ultimately assist in forecasting eruptions. Thermal               sensed and in situ measurements of rainfall, river
measurements of land surface temperature, together                heights, soil moisture, with vegetation change provid-
with simultaneous measurements of the changing                    ing critical indices for flood and landslide hazards.
emissivity, provide additional constraints on mag-                Integration of remote sensing and in situ measurements
matic processes and volcanic activity. Even the                   is needed, along with hydrologic models benefiting
contribution of subaerial active volcanoes to the                 from improvements in multi-scale observations of
Earth’s energy budget can be estimated (Wright and                climate and weather, from global to synoptic and
Flynn, 2004).                                                     mesoscale to storm scales. For example, the SeaWinds
                                                                  radar aboard QuikSCAT and MODIS optical data are
                                                                  processed and combined with a GIS for monitoring
4. Flood and landslide hazards                                    flood propensity and developing weekly surface water
                                                                  anomaly maps (Fig. 3) that emphasize the sustained
    Floods are among the most devastating natural                 excess moisture receipts most likely to cause river
hazards in the world, claiming the largest amount of              flooding (see www.dartmouth.edu/~floods). Occa-
lives and property damage (CEOS, 2003). Remotely                  sional (5–10 years) quantification of soil composition
sensed data play an integral role in reconstructing the           and thickness would suffice in areas governed by
recent history of the land surface and in predicting              gradual processes, but more frequent measurements
hazard events such as floods and landslides, subsidence           will be needed in areas affected by such dynamic
events and other ground instabilities. Reconstruction of          events as floods or landslides.
past erosion, deformation, and deposition and quanti-                 Diverse observational requirements are imposed by
fication of tectonic, climatic, and biologic inputs–              the need for surface, subsurface and hydrologic
including human-induced changes–to the evolving                   characterization, including the delineation of flood
landscape underpin the ability to develop a process-              and landslide zones for risk assessments (see Carrasco
based understanding of the Earth’s dynamic surface.               et al., 2003) and mitigation planning, and zones prone
    Since land-surface properties change through time,            to subsidence due to groundwater interactions (see
remote sensing of such changes yields critical                    Buckley et al., 2003). The types of measurements that
temporal control on landscape evolution. The need                 are needed to quantify, model, and predict flood
for higher spatial and temporal resolution data is                hazards include 1-m DEMs with 5 cm accuracy for
pinpointed by recognizing that destructive floods or              catchment geometry and hill-slope angles used for
landslides can be launched by intense, short-lived                water routing and landslide threshold assessments;
storm cells a few kilometers in extent. The height and            hourly measurements of rainfall intensity and duration
width of rivers, as well as rainfall intensity and                with 1–2 mm accuracy; and 12-hourly measurements
amounts, need to be measured hourly during storms.                of soil moisture to assess infiltration and runoff
Hossain and Anagnostou (2004) give an assessment                  potential. Seasonal measurements of vegetation cover
of the current state of passive microwave and infrared-           and canopy structure provide for water interception
based satellite systems for flood prediction. Few data            and soil strength assessment, while 5-m resolution
exist on soil moisture, thickness, and strength, or on            geologic mapping provides an overview of rock
vegetation cover, fire history, or detailed topography.           strength, permeability and erosion potential. In con-
Synthetic aperture radar (SAR) and Landsat Thematic               junction, multi-channel and multi-sensor data from
Mapper (TM) data have been integrated to provide                  meteorological satellites are assimilated into numer-
information on land cover and the geomorphology of                ical weather prediction models to estimate precipita-
slopes, to inventory and characterize landslide poten-            tion intensity, amount and coverage, winds and other
tial in high relief areas (Singhroy et al., 1998), and to         factors that impact the severity of flood hazards.
                      D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198                    193
Fig. 3. Wet soil conditions of the Tisza River Basin in Eastern Europe from analysis of QuickScat and MODIS data [image courtesy S.V.
Nghiem, NASA/JPL and R. Brakenridge, Dartmouth University].
    The principal contribution of Earth observation                   information on flow emplacement parameters (i.e.
data is to provide the morphological, land use and                    rate, velocity and rheology), and factors such as
geological detail to help determine how a landslide                   lithology, location of faults, slope, vegetation and land
failed and the cause of failure (CEOS, 2003). GIS is                  use. The remote sensors that increasingly will provide
being used increasingly for regional risk assessment,                 flood and landslide hazard monitoring data include
including the integration of inventory mapping,                       InSAR, GPS (Malet et al., 2002; Gili et al., 2000),
location of surface structures and roughness providing                visible and near infrared/ thermal infrared (VNIR/
194                   D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
TIR) imaging, multi-parameter SAR, laser altimetry,                  world’s 15 largest cities lie along the coast or on
and microwave imaging. SAR data can provide an all-                  estuaries. About 53% of the US population, for
weather flood mapping capability and can be useful                   example, lives near the coast (Small et al., 2000).
for the estimation of hydrological parameters such as                Any short-term or long-term sea-level change relative
soil moisture (soil surface wetness), wet snow                       to vertical ground motion is of great socioeconomic
mapping, and the monitoring of wetlands and flood                    concern, yet no accurate estimate of the vulnerability
extent delineation (CEOS, 2003). InSAR offers the                    of coastal communities exists.
capability for measuring displacements and providing                    The effects of sea level rise are spatially non-
very high accuracy topographic mapping. However,                     uniform due to local coastal variables, such as
even with the integration of in situ measurements, the               interactions between lithology, geomorphology, and
ability for a predictive capability for the occurrence               wave climate, currents and storm frequencies (Gor-
and extent of landslide impact falls behind that for                 nitz, 1991). Paleo-environmental and historical data
mitigation planning (see CEOS, 2003). A thorough                     clearly have indicated the occurrence of such changes
evaluation of erosion hazards in the United States                   in the past, and the potential impact under enhanced
related to coastal processes and flooding is provided                greenhouse conditions (Mcinnes et al., 2003). Sea
by the Heinz Center (2000), ranging from risk                        level rise itself is not globally uniform, as Fig. 4
assessment, economic impact and insurance programs                   shows. The TOPEX/POSEIDON altimetric satellite
to management and policy. Satellite-based observa-                   now in its 12th year of operation has established this
tions will need to be augmented with extensive land-                 remarkable record with the most accurate measure-
based measurements and data from existing and                        ments of sea surface topography to date. Its successor
future, integrated hydrologic and geodetic arrays.                   Jason-1, and the planned NASA Ocean Surface
                                                                     Topography Mission (each a collaborative mission
                                                                     between the US and French space agencies), as well
5. Coastal inundation                                                as ERS-1 and -2, and recently ENVISAT, of the
                                                                     European Space Agency, all contribute to monitoring
   Atmospheric and oceanic processes have a signifi-                 this crucial quantity.
cant effect on coastal geomorphology. Sea level rise as                 Sea level rise does not just passively inundate low-
a consequence of global climate change represents an                 lying coastal regions. Sea level rise, as a symptom of
enormous risk to coastal populations. Eleven of the                  climate change, and changes in storm frequency or
Fig. 4. Trends in sea level derived from TOPEX/POSEIDON data for the period 1993–2003. Inverse barometer (IB) correction applied [see
http://www.sealevel.colorado.edu and Leuliette et al. (2004)].
                       D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198                             195
intensity lead to greater erosion of the coasts and                        shows the effect of a 5-m sea level rise on the Florida
accelerate the process whereby the ocean inundates                         coast of the US. Flood damages would increase
what was previously land surface. The Intergovern-                         accordingly and contribute to higher sediment depos-
mental Panel on Climate Change (IPCC) has outlined                         its at inlets, further exacerbating the inundation hazard
major impacts of rising sea level on coastal commun-                       risk.
ities (IPCC, 2001), which include beach erosion,                               An example of an integrated observation strategy
inundation of land and increased flood and storm                           consists of space measurements of ocean vector winds
damage. The IPCC reports that 1 cm rise in sea level                       (SeaWinds on QuickSCAT and ADEOS-2; ERS-1 and
erodes beaches about 1 m horizontally; a 50-cm rise in                     -2 and now Meteosat) to assess the strength of storms
sea level will inundate 8500–19000 km2 of dry land;                        at sea from their surface wind vectors; in addition,
and a higher sea level will provide a higher base for                      Tropical Rainfall Mapping Mission (TRMM) meas-
storm surges. A 1-m rise in sea level would enable a                       urements of the precipitation associated with storms,
15-year storm to flood areas that today are only                           with NASA Atmospheric Infrared Sounder (AIRS),
flooded by 100-year storms (IPCC, 2001). Fig. 5                            MODIS and other instruments observing the cloud
Fig. 5. The potential rise in sea level caused by melting of the Greenland ice sheets seriously jeopardizes low-lying areas such as the Florida
coast. Red shows where land would be submerged for an estimated 5-m sea-level rise [image courtesy M. Kobrick, NASA/JPL].
196                D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
patterns above the storm, and passive radiometers                often lead to disasters. Satellite remote sensing data
measuring the water vapor around the storm. By                   and derived geospatial products increasingly are
studying changes in storm frequency and intensity, for           complementing ground-based network data, and in
example, better estimates can be made of what future             situ and field observations for disaster assessment
climate change will bring to coastal regions. Inte-              and response. Many advances in satellite remote
grated SAR and TM imagery have been used to                      sensing have been and will continue to be made as
monitor changes in coastal geomorphology and land                various resources are secured for technology and
cover, flood and erosional damage, and to facilitate             infrastructure development, in efforts towards bridg-
planning and maintenance of mitigations (Singhroy,               ing the transition from natural hazards research to
1995). Advances to-date in the science and technol-              enhanced operational capability in disaster manage-
ogy of shoreline change mapping and projection of                ment. The Advanced Synthetic Aperture Radar
future shoreline positions are elements of erosion               (ASAR) operating at C-band, onboard ENVISAT,
hazard zone identification under the FEMA National               launched by the European Space Agency in March
Flood Insurance Program (Leatherman, 2003). The                  2002, is an enhanced capabilities continuation of the
U.S. Environmental Protection Agency has studied                 ERS-1/2 that has as one of its mission objectives the
the environmental impact and economic costs asso-                monitoring of earthquake and volcanic hazards. The
ciated with coastal inundation due to the greenhouse             Japanese Advanced Land Observing Satellite
effect and sea level rise (Titus et al., 1991). These            (ALOS) includes a panchromatic stereo imager for
assessments have direct bearing on coastal land-use              digital elevation mapping, a visible and near I/R
planning for risk mitigation.                                    radiometer and phased array L-band SAR (PAL-
    In addition to the continual effects of atmospheric          SAR). The PALSAR system is designed to provide
and oceanic processes on coastal geomorphology,                  continuous images of land deformation. Moreover,
earthquakes underneath or near the ocean (particu-               tools to produce information products through
larly at deep ocean trenches and island arcs) and less           integration, assimilation, modeling and realistic com-
commonly submarine landslides and volcanic erup-                 putational simulations must continue to be devel-
tions can generate tsunamis with the potential to                oped, addressing issues of data access continuity,
inundate the coast. The magnitude 9.0 Indonesian                 completeness, interoperability and validation.
earthquake of December 26, 2004 off the west coast                   The solid Earth science research community must
of northern Sumatra is a recent and indeed historic              continue to demonstrate the potential of these remote
example of extreme coastal inundation resulting from             sensing systems and derived products for operational
generation of tsunamis. The devastating losses to life           decision-making that impacts the ability to reduce
and property from this great event are a reminder of             losses to life and property. Assimilation of science,
the potential of natural hazards to change the land-             model outputs and satellite data into decision support
scape and calls attention to the need for integrated             tools and systems through applications, validation and
monitoring systems, including in situ and orbiting               performance benchmarking is a critical step. Policy-
sensors, real-time communications, extremely fast                and decision-makers, emergency managers and res-
assessment, and prearranged communication lines to               ponders, in turn, will use the enhanced decision
those in the best position to warn populations                   support systems, geospatial information products,
throughout the globe, where the socioeconomic                    model-based forecasts and visualizations in long-term
consequences of catastrophic disaster events are                 planning of emergency services and lifelines, com-
widespread.                                                      prehensive disaster assessment and response prioriti-
                                                                 zation. Cost-effective approaches will be necessary,
                                                                 with the participation of the commercial sector in
6. Conclusions                                                   distinct elements of an overall observational architec-
                                                                 ture, as the resources available are limited. Interna-
   Integrated satellite-based observations and numer-            tional partnerships and cross-agency relationships can
ical modeling are leading to new levels of under-                be expected to increasingly enable civil space
standing of the complex solid Earth processes that               agencies to develop a broad range of observations
                       D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198                           197
and shared data sets that respond to the needs of the                 Donnellan, A., Rundle, J., Ries, J., Fox, G., Pierce, M., Parker, J.,
operational and policy communities in disaster man-                       Crippen, R., DeJong, E., Chao, B., Kuang, W., McLeod, D.,
                                                                          Matu’ura, M., Bloxham, J., 2004. Illuminating Earth’s interior
agement while addressing key questions in the solid                       through advanced computing. Comput. Sci. Eng. 6 (1), 36 – 44.
Earth research community.                                             Ellrod, G.P., Connell, B.H., Hillger, D.W., 2003. Improved
                                                                          detection of airborne volcanic ash using multispectral infrared
                                                                          satellite data. J. Geophys. Res., [Atmos.] 108 (D12) (Art. No.
Acknowledgements                                                          4356).
                                                                      Fielding, E.J., Wright, T.J., Muller, J., Parsons, B.E., Walker, R.,
   This review paper was written at the Jet Propulsion                    2004. A seismic deformation of a fold-and-thrust belt imaged by
                                                                          SAR interferometry near Shahdad, SE Iran. Geology 32 (7),
Laboratory, California Institute of Technology, under                     577 – 580.
contract to the National Aeronautics and Space                        Gamba, P., Houshmand, B., 2002. Joint analysis of SAR, LIDAR
Administration, and was guided in part by the NASA                        and aerial imagery for simultaneous extraction of land cover,
Solid Earth Science Working Group (SESWG)                                 DTM and 3D shape of buildings. Int. J. Remote Sens. 23 (20),
Report, bLiving on a Restless Planet,Q 2002; the                          4439 – 4450.
                                                                      Gili, J.A., Corominas, J., Rius, J., 2000. Using global positioning
CEOS hazard reports and the CENR Interim Report of                        system techniques in landslide monitoring. Eng. Geol. 55 (3),
the Subcommittee on Disaster Reduction. We thank                          167 – 192.
the reviewers of the initial manuscript for their                     Glaze, L.S., Baloga, S.M., 2003. DEM flow path prediction
comments and recommendations; and Mike Abrams,                            algorithm for geologic mass movements. Environ. Eng. Geosci.
Paul Lundgren and Son Nghiem for sharing some data                        9 (3), 225 – 240.
                                                                      Gornitz, V., 1991. Global coastal hazards from future sea level rise.
analyses and discussion.                                                  Glob. Planet. Change 89 (4), 379 – 398.
                                                                      Gross, R.S., Chao, B.F., 2001. The gravitational signature of
                                                                          earthquakes. In: Sideris, M.G. (Ed.), Proc. IAG International
References                                                                Symposium Gravity, Geoid and Geodynamics (GGG2000),
                                                                          Banff, Alberta, Canada, July 31–August 4, 2000, vol. 123.
Argus, D., Heflin, M., Peltzer, G., Crampe, F., Webb, F., in press.       Springer-Verlag, New York, pp. 205 – 210.
   Interseismic strain accumulation and anthropogenic motion in       Heinz Center, 2000. Evaluation of Erosion Hazards. Report to the
   metropolitan Los Angeles, J. Geophys. Res.                             Federal Emergency Management Agency, The H. John Heinz III
Bowin, C., 1991. The Earth’s gravity-field and plate-tectonics.           Center for Science, Economics and the Environment, Wash-
   Tectonophysics 187 (1–3), 69 – 89.                                     ington D.C. http://www.heinzcenter.org (accessed 22 Dec.
Buckley, S.M., Rosen, P.A., Hensley, S., Tapley, B.D., 2003. Land         2004).
   subsidence in Houston, Texas, measured by radar interferometry     Hossain, F., Anagnostou, E.N., 2004. Assessment of current
   and constrained by extensiometers. J. Geophys. Res. 108 (B11)          passive-microwave and infrared-based satellite rainfall remote
   (Art. No. 2542).                                                       sensing for flood prediction. J. Geophys. Res. 109 (D7) (Art.
Cakir, Z., Chabalier, J.B., Armijo, R., Meyer, B., Barka, A.,             No. D07102).
   Peltzer, G., 2003. Coseismic and early post-seismic slip           Hudnut, K.W., Bock, Y., Galetzka, J.E., Webb, F.H., Young,
   associated with the 1999 Izmit earthquake (Turkey), from               W.H., 2002. The Southern California Integrated GPS Net-
   SAR interferometry and tectonic field observations. Geophys. J.        work (SCIGN). In: Fujinawa, Y., Yoshida, A. (Eds.), Seismotec-
   Int. 155 (1), 93 – 110.                                                tonics in Convergent Plate Boundary. TERRAPUB, Tokyo,
Carrasco, R.M., Pedraza, J., Martin-Duque, J.F., Sanz, M.A.,              Japan, pp. 167 – 189.
   Bodoque, J.M., 2003. Hazard zoning for landslides connected        IGOS (Integrated Global Observing Strategy) Geohazards Theme
   to torrential floods in the Jerte Valley (Spain) by using GIS          Report, 2004. http://www.dup.esrin.esa.it/igos-geohazards/pdf/
   techniques. Nat. Hazards 30 (3), 361 – 381.                            igos_report.zip (accessed 22 Dec. 2004).
CENR, 2003. Reducing Disaster Vulnerability Through Science and       IPCC, 2001. Climate change 2001-impacts, adaptation and vulner-
   Technology. Interim Report of the National Science and                 ability. Contribution of working group II to the third assessment
   Technology Council, Subcommittee on Disaster Reduction,                report of the intergovernmental panel on climate change (IPCC).
   July.                                                                  In: McCarthy, James J., Canziani, Osvaldo F., Leary, Neil A.,
CEOS, 2003. The Use of Earth Observing Satellites for Hazard              Dokken, David J., White, Kasey S. (Eds.), Cambridge Uni-
   Support: Assessments and Scenarios. Final Report of the CEOS           versity Press, UK. (1000 p. Available at http://www.grida.no/
   Disaster Management Support Group (DMSG), November.                    climate/ipcc_tar/wg2/ (accessed 22 Dec. 2004)).
Crowley, J.K., Hubbard, B.E., Mars, J.C., 2003. Analysis of           Lanari, R., Berardino, P., Borgstrom, S., del Gaudio, C., de
   potential debris flow source areas on Mount Shasta, California,        Martino, P., Fornaro, G., Guarino, S., Ricciardi, P., Sansosti, E.,
   by using airborne and satellite remote sensing data. Remote            Lundgren, P., 2003. The use of IFSAR and classical geodetic
   Sens. Environ. 87 (2–3), 345 – 358.                                    techniques for caldera unrest studies: application to the Campi
198                     D.M. Tralli et al. / ISPRS Journal of Photogrammetry & Remote Sensing 59 (2005) 185–198
    Flegrei uplift event of 2000. J. Volcanol. Geotherm. Res. 133      Shimada, S., Bock, Y., 1992. Crustal deformation measurements in
    (1–4), 247 – 260.                                                      central Japan determined by a Global Positioning System fixed-
Lanari, R., Lundgren, P., Manzo, M., Casu, F., 2004. Satellite radar       point network. J. Geophys. Res. 97 (B9), 12437 – 12455.
    interferometry time series analysis of surface deformation for     Singhroy, V., 1995. SAR integrated techniques for geohazard
    Los Angeles, California. Geophys. Res. Lett. 31 (23) (Art. No.         assessment, Natural Hazards: monitoring and assessment
    L23613).                                                               using remote sensing techniques. Adv. Space Res. 33 (3),
Leatherman, S.P., 2003. Shoreline change mapping and management            205 – 290.
    along the US East Coast. J. Coast. Res., 5 – 13. (Sp. Iss. 38).    Singhroy, V., Mattar, K.E., Gray, A.L., 1998. Landslide character-
Leuliette, E.W., Nerem, R.S., Mitchum, G.T., 2004. Calibration of          ization in Canada using interferometric SAR and combined
    TOPEX/Poseidon and Jason altimeter data to construct a                 SAR and TM images. Adv. Space Res. 21 (3), 465 – 476.
    continuous record of mean sea level change. Mar. Geod. 27          Small, C., Gornitz, V., Cohen, J.E., 2000. Coastal hazards and the
    (1–2), 79 – 94.                                                        global distribution of population. Environ. Geosci. 7 (1), 3 – 12.
Lohman, R.B., Simons, M., Savage, B., 2002. Location and               Stevens, N.F., Manville, V., Heron, D.W., 2003. The sensitivity of a
    mechanism of the Little Skull Mountain earthquake as con-              volcanic flow model to digital elevation model accuracy: experi-
    strained by satellite radar interferometry and seismic waveform        ments with digitized map contours and interferomegtric SAR at
    modeling. J. Geophys. Res., [Solid Earth] 107 (B6) (Art. 2118).        Ruapehu and Taranaki volcanoes, New Zealand. J. Volcanol.
Lu, Z., Patrick, M., Fielding, E.J., Trautwein, C., 2003. Lava             Geotherm. Res. 119 (1–4), 89 – 105.
    volume from the 1997 eruption of Okmok volcano, Alaska,            Sun, W., Okubo, S., 2004. Coseismic deformations detectable by
    estimated from spaceborne and airborne interferometric syn-            satellite gravity missions: a case study of Alaska (1964, 2002) and
    thetic aperture radar. IEEE Trans. Geosci. Remote Sens. 41 (6),        Hokkaido (2003) earthquakes in the spectral domain. J. Geophys.
    1428 – 1436.                                                           Res., [Solid Earth] 109 (B4) (Art. No. B04405).
Lundgren, P., Rosen, P.A., 2003. Source model for the 2001 flank       Talebian, M., Fiedling, E.J., Funning, G.J., Ghorashi, M., Jackson,
    eruption of Mt. Etna volcano. Geophys. Res. Lett. 30 (7), 1388.        J., Nazari, H., Parsons, B., Priestley, K., Rosen, P.A., Walker, R.,
Lundgren, P., Stramondo, S., 2002. Slip distribution of the 1997           Wright, T.J., 2004. The 2003 Bam (Iran) earthquake: rupture of
    Umbria-Marche earthquake sequence: joint inversion of GPS              a blind strike-slip fault. Geophys. Res. Lett. 31 (11) (Art. No.
    and synthetic aperture radar interferometry data. J. Geophys.          L11611).
    Res., [Solid Earth] 107 (B11) (Art. No. 2316).                     Titus, J.G., Park, R.A., Leatherman, S.P., Weggel, J.R., Greene,
Malet, J.P., Maquaire, O., Calais, E., 2002. The use of Global             M.S., Mausel, P.W., Brown, S., Gaunt, G., Trehan, M., Yohe,
    Positioning System techniques for the continuous monitoring of         G., 1991. Greenhouse effect and sea level rise: the cost of
    landslides: application to the Super-Sauze Earthflow (Alpes-de-        holding back the sea. Coast. Manage. 19 (2), 171 – 204.
    Haute-Provence, France). Geomorphology 43 (1–2), 33 – 54.          Tondi, R., De Franco, R., Biella, G., 2003. Deep and shallow solid-
Mcinnes, K.L., Walsh, K.J.E., Hubbert, G.D., Beer, T., 2003. Impact        earth structures reconstructed with sequential integrated inver-
    of sea-level rise and storm surge on a coastal community. Nat.         sion (SII) of seismic and gravity data. Space Sci. Rev. 108 (1–2),
    Hazards 30 (2), 187 – 207.                                             115 – 130.
NRC (National Research Council), 2003. Living on an active earth:      Watanabe, H., Matsuo, K., 2003. Rock type classification by multi-
    perspectives on earthquake science. Committee on the Science           band TIR of ASTER. Geosci. J. 7 (4), 347 – 358.
    of Earthquakes. National Academies Press, Washington, D.C.         Watson, I.M., Realmuto, V.J., Rose, W.I., Prata, A.J., Bluth, G.J.S.,
    432 pp.                                                                Gu, Y., Bader, C.E., Yu, T., 2004. Thermal infrared remote
Pieri, D., Abrams, M., 2004. ASTER watches the world’s                     sensing of volcanic emissions using the moderate resolution
    volcanoes: a new paradigm for volcanological observations              imaging spectroradiometer. J. Volcanol. Geotherm. Res. 135 (1–
    from orbit. J. Volcanol. Geotherm. Res. 135 (1–2), 13 – 28.            2), 75 – 89.
Prata, A.J., Watson, I.M., Rose, W.I., Realmuto, V., Bluth, G.J.S.,    Wright, R., Flynn, L.P., 2003. On the retrieval of lava-flow surface
    Sevranckx, R., submitted for publication. Volcanic sulfur              temperatures from infrared satellite data. Geology 31 (10),
    dioxide measurements derived from infrared satellite measure-          396 – 893.
    ments. Geophys. Res. Lett.                                         Wright, R., Flynn, L.P., 2004. Space-based estimate of the volcanic
Pritchard, M.E., Simons, M., 2004. An InSar-based survey of                heat flux into the atmosphere duing 2001 and 2002. Geology 32
    volcanic deformation in the central Andes. Geochem. Geophys.           (3), 189 – 192.
    Geosyst. 5 (Art. No. Q02002).                                      Wright, R., Flynn, L.P., Garbeil, H., Harris, A., Pilger, E., 2002.
Rejaie, A., Shinozuka, M., 2004. Reconnaissance of Golcuk 1999             Automated volcanic eruption detection using MODIS. Remote
    earthquake damage using satellite images. J. Aerosp. Eng. 17           Sens. Environ. 82 (1), 135 – 155.
    (1), 20 – 25.                                                      Wright, R., Flynn, L.P., Garbeil, H., Harris, A., Pilger, E., 2004.
SESWG (Solid Earth Science Working Group) Report, 2002. Living             MODVOLC: near-real-time thermal monitoring of global
    on a Restless Planet. S. C. Solomon, Chair, NASA Jet                   volcanism. J. Volcanol. Geotherm. Res. 135 (1–2), 29 – 49.
    Propulsion Laboratory, Report JPL 400-1040, November.