Download Project Summary - Optical Oceanography Laboratory

NOAA’s COASTAL SERVICES CENTER
INTEGRATED OCEAN OBSERVING SYSTEM
Proposal Type:
Regional Coastal Ocean Observation Coordination project for the CSC
Director’s Office Program
Title:
Remote Sensing Coastal Ocean Observing System (RSCOOS):
A Synoptic Remote Sensing Cooperative System serving the Caribbean and
the East Coast of the United States
Co-Investigators:
Name
Chuanmin Hu
Frank Muller-Karger
Edward Kearns
Nan Walker
Duration:
Budget:
Institution
USF / IMaRS
University of South Florida
University of Miami
Louisiana State University
Telephone
727-553-3987
727-553-3335
305-361-4837
225-578-5331
03/01/2005 – 02/28/2008 (3 years)
Email
[email protected]
[email protected]
[email protected]
[email protected]
Project Summary
This program proposes to develop a working prototype of a Remote Sensing Coastal Ocean
Observing System (RSCOOS) which will foster a cooperative arrangement among 3 existing
academic satellite downlink facilities to provide redundant near-realtime data access for the
coastal IOOS community. The Regional Associations (RAs) of the planned Integrated Ocean
Observing System (IOOS) – which include academic, federal and commercial partners – must
engage the existing satellite remote sensing scientific research community which maintains
significant infrastructure and capability for truly synoptic observation of the coastal waters of the
Caribbean and the East Coast of the United States. This prototype activity links 3 such academic
entities, the University of Miami, the University of South Florida, and Louisiana State
University, in a co-operative effort.
The goals of the proposed effort are to:
-
Collect repeated, synoptic observations from existing polar-orbiting and geostationary
earth-observing satellites via a network of existing downlink facilities
-
Process and distribute in near-realtime (<2 hours after collection) multiple parameters
required by the operational costal management, education, commercial, and research
communities
-
Establish this proto-operational system as a redundant data collection and distribution
network to support continuous operation in spite of hurricanes, power or network
outages, etc.
-
Implement distributed data dissemination technology and shared processing capabilities
among partners using tools such as OpenDAP and grid computing technology
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Real-time applications will be served that require ocean color, sea surface temperature, and
altimeter data. Among the platforms/sensors targeted for this effort are Terra/MODIS,
Aqua/MODIS, and ERS-1. The proposed activity will provide critical quantitative
information on coastal and oceanic waters of the Caribbean Sea, the U.S. East Coast, and the
Gulf of Mexico. Techniques that are developed as part of this effort will be extendible to
other satellite downlink facilities within the same regional scope, as well as portable to other
RAs outside the region (e.g. U.S. West Coast). The proposed activity builds cooperative
partnerships that will contribute timely and appropriate information to public mission
agencies, in particular those of NOAA’s Coastal Services Center.
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Background
The United States coastline alone exceeds 19,900 km in length and defines an Exclusive
Economic Zone (EEZ) that encompasses over 11 million square kilometers. The productive and
diverse environments found along the U.S. coastline and throughout the Caribbean Sea are
intimately tied to commerce, transportation, and recreation activities. However, the close
proximity to ever-growing urban areas, to commercial agriculture interests, and exposure to
sediment, nutrient or other pollutant discharges result in stress and pressures on coastal
resources. Climate variability further complicates the situation. These issues present difficult
challenges for stewards of the marine environment, to industry and researchers who currently
have limited ways to assess conditions over these sensitive environments.
Proper management of these vast areas is an important priority for local, State, Federal, and
international organizations. New science-based management paradigms require accurate
historical and real-time information to assess changes relative to baselines and to make decisions
about the use of resources. A new infrastructure that supports this approach is emerging with the
coastal module of the Integrated Ocean Observing System (IOOS). Regional Associations (RAs)
of data providers and users have started to form, to contribute to and benefit from a national
IOOS backbone planned by the OceanUS Office (http://www.ocean.us).
Remote sensing is the best way to obtain synoptic routine, repeated, and concurrent coverage
of several parameters considered critical to the IOOS. It also allows for interpretation of
distributed and isolated point measurements by providing a spatial and temporal context for these
in situ measurements. As various Regional Associations organize around the nation, it has
become clear that the full engagement of the satellite remote sensing community is now required
to properly achieve IOOS goals.
The incorporation of satellite-products is a fundamental
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element of the IOOS strategy developed under direction of the Oceans.US Office. However,
assimilation of this element of the IOOS has lagged, primarily since these types of specialized
activities are usually considered to be outside the realm of individual RAs and the responsibility
of a Federal backbone. On a nationwide scale, the processing and distribution infrastructure, the
continuity and concurrency of satellite missions, and even products and their support by NOAA
and NASA historically have been taken for granted. The result of these attitudes has been lack of
integration of remote sensing into the RAs, even at a time when the importance of local coastal
phenomena and the timeliness of acquiring data for their assessment has been recognized. Many
elements of the Federal backbone simply were not set up for real-time applications; for example,
the Federal NASA Ocean Color Processing Group had a latency in obtaining any particular
regional data granule from Aqua/MODIS that is 20 times longer than that at a local downlink site
(100 minutes versus 5 minutes).
Over the past two decades, there have been significant advances in the development of
remote sensing tools that afford the assessment of environmental parameters in oceanic and
adjacent land areas. The academic research community has successfully demonstrated the
applicability of such tools. Coastal managers and researchers need a way to integrate their local
knowledge with the knowledge achieved by the research community on meteorological and
oceanographic processes over synoptic scales. They need a mechanism that consolidates multiple
and voluminous data streams, and a way to control the type of information they can derive from
various datasets. Finding the proper role for remote sensing experts in addressing local problems
has not been easy. The variety of algorithms, data archival and delivery mechanisms, diversity in
data formats, lack of information about product quality, and a distinct separation between the
research, management, commercial, and public education communities have slowed down
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migration of key technologies across communities. Continuing attempts to provide low-quality
high-level products generated by a centralized Federal process, and the lack of tools tailored for
use of the data by the general public, has led to lack of consistency in quality and availability of
high-level products, difficulty in providing feedback and in tailoring products, and difficulty in
understanding and using the information. All too typically, the satellite images that are
distributed by Federal agencies are used by managers and educators as "pretty pictures", and
their value as data is not properly realized. The ultimate consequence is effective inhibition of
the involvement of the people who are most directly familiar with natural processes in a region,
and high-quality science and proper resource management are stymied.
Several institutions located in the southeastern U.S. provide significant capability in terms of
expertise and infrastructure for the collection, processing and archival of data from multiple
Earth observation satellites. Specifically, real-time ocean color, infrared, and altimeter data from
polar-orbiting satellites are collected at Louisiana State University’s Earth Scan Lab, the
University of South Florida’s Institute for Marine Remote Sensing, and at the University of
Miami’s Rosenstiel School for Marine and Atmospheric Science. LSU’s facility primarily
collects infrared data from the GOES geostationary platforms, which provides high temporal
resolution coverage for our coasts. The University of South Florida has an archive of high
resolution infrared and ocean color data that spans back to 1978, manages over 1,000 Landsat
and Ikonos images of the tropical coral reefs of the globe, serves these data via the
OPeNDAP/DODS protocol, and is actively engaged in sensor development programs. The
University of Miami archives all of the data collected by the MODIS sensors on the AQUA and
TERRA satellites, collects the 4km AVHRR GAC data, and now has the capability to collect
real-time MODIS, synthetic aperture radar and other high resolution imagery at its Center for
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Southeastern Tropical Advanced Remote Sensing (CSTARS). Each of these institutions
maintains an X-band downlink capability and is already capable of downloading data from the
future operational satellites (i.e. the NPP/NPOESS series). These institutions represent a
substantial data processing and archival capability as well, and all are capable of sustaining a
rapid, real-time processing and distribution system. It is important to nurture this regional
infrastructure to enable the necessary science and education processes required to support good
management practices and a public stewardship ethic. Ultimately as an operational element of
the IOOS, it is important that these institutions operate in a redundant and cooperative fashion,
so that the flow of data is not compromised during the types of catastrophic events – e.g
hurricanes making landfall, Figure 1 – during which the management community needs these
data most urgently.
Figure 1. A dual layer image of atmospheric pressure overlain upon MODIS color
imagery received at USF. Note the large extent of Frances, which eventually impacted
both St. Petersburg (USF) and Miami (UM). A third downlink site (e.g. LSU in Baton
Rouge) would ensure continued realtime data access as Frances impacted the Florida
coastal waters. Image courtesy of SEACOOS (www.seacoos.org).
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Benefits
This RSCOOS proposal seeks to coordinate existing satellite remote sensing infrastructure
and products to serve the Caribbean and US East Coast in a redundant and distributed fashion.
As such, the project serves ocean research, education, industry, and operations groups, and
capitalizes on existing infrastructure already developed by NOAA’s Coastal Services Center,
NOAA’s Harmful Algal Blooms Observing System (HABSOS), NASA, the Office of Naval
Research, the research institutions, and the RAs such as SEACOOS and GCOOS. Other remote
sensing infrastructure available at various research institutions and in the commercial sector
eventually needs to be identified, linked, and coordinated, and this will be facilitated by the
development of RSCOOS. The greatest benefits will be realized when this infrastructure is
teamed up with the national public infrastructure that flies the satellites. Orchestrating this
infrastructure will promote:
-
Critical redundancy required for 24/7 coverage of coastal zones in emergency situations
-
Synergy to maximize the processing power and information distribution infrastructure
-
Decentralization and outsourcing to increase efficiency and ensure high scientific quality
-
Effective linkage with regional COSEE and Sea Grant programs
-
Implementing a strategy for commercial providers of value-added products and users
RSCOOS will contribute timely and appropriate information to public mission
agencies, ensure a data stream to the RAs even during emergencies that incapacitate one or
two of the systems, and provide a path to integration of the future operational satellites
(NPP/NPOESS) into the IOOS.
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Objectives
The RSCOOS seeks to integrate satellite data (Table 1) into the information assessment and
dissemination strategies already adopted by GCOOS, SEACOOS, and SCOOP. These include
common data standards, OpenDAP data servers, WMS servers, and grid computing (e.g. globus).
The main objectives of this project are to:
-
Collect repeated, synoptic observations from existing polar-orbiting and geostationary
earth-observing satellites via a network of existing downlink facilities
-
Process and distribute in near-realtime (<30 minutes after collection) multiple parameters
required by the operational costal management, education, commercial, and research
communities
-
Establish this proto-operational system as a redundant data collection and distribution
network to support continuous operation in spite of hurricanes, power or network
outages, etc.
-
Implement distributed data dissemination technology and shared processing capabilities
among partners using tools such as OpenDAP and grid computing technology
-
Link the prime regional remote sensing experts and the infrastructure they manage
-
Promote this expertise and infrastructure for inclusion into the RAs
-
Identify future needs for products and sensors for coastal applications.
The successful development of RSCOOS will pave the way for commercial and educational
applications and promote a dialog between the RAs and these important IOOS partners.
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Table 1. Sensors to be integrated within the RSCOOS data processing and
distribution systems.
Moderate Resolution Imaging Spectrometer (MODIS Terra/morning
pass and Aqua/afternoon pass):
Sea Surface Temperature (1x1 km2 pixels; Infrared (IR))
Ocean Color (1x1 km2 pixels; 12 bits, bands 8-16; Visible)
“Sharpening” bands:
250 x 250 m2 pix. (bands 1-2, Visible and Near-IR)
500 x 500 m2 pix. (bands 3-7, Visible and Near-IR)
AVHRR (Advanced Very High Reolution Radiometer) estimates:
Sea Surface Temperature
A rough estimate of nearshore water transparency.
GOES (Geostationary Orbiting Earth Satellite)
Sea Surface Temperature
TOPEX / Jason, ERS-1 (satellite altimeters):
Sea Surface Height
Estimates of wave height
QuikSCAT / SeaWinds (satellite scatterometers):
Wind speed and direction
Estimates of wave height
Approach
This effort will use the collegial relationship established between ocean remote sensing
experts in the region as the basis of its development. The partners will exploit their functional
links with SEACOOS, GCOOS, SCOOP, the COSEE network, and industry to achieve its goals.
The USF IMaRS collects and processes AVHRR, SeaWiFS, and MODIS data and generates
ocean products within one half hour of each pass. LSU’s Earth Scan Lab has similar
infrastructure and also collects and processes GOES IR data into SST images with one half hour
or better temporal resolution. The UM RSMAS group archives the global ocean MODIS data to
reprocess products and generate Climate Data Records (CDRs) as it is engaged in the calibration
of these devices, and collects and processes direct-broadcast MODIS imagery within a half-hour
at its CSTARS facility. In addition, experts in radar altimetry and scatterometry are closely
linked with these groups.
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Raw (L0) data collected at these sites will be processed to georeferenced L2 (swath) data in
EOS-DIS compatible formats with their currently installed systems. Processing capabilities
among the sites will be shared through the implementation of the Globus Toolkit which enables
grid computing, which will primarily serve as a backup in case processing capability at any one
center is compromised. L3 (mapped) products will also be produced and distributed.
The multi-scale remote sensing products from sensors listed in Table 1 will assembled for
dissemination in a distributed fashion. The interface developed at IMaRS for WMS image
distribution, web-based raster data analysis, and the IMaRS capability to generate vector data
from real-time NOAA NDBC and satellite scatterometer and altimeter data streams, will be
leveraged. The enhanced RAs will then be able to offer combined satellite data, meteorological
analyses, in situ time series, and numerical model results (as demonstrated by the experimental
SEACOOS interface at http://nautilus.baruch.sc.edu/rs/ )
Multiple delivery mechanisms and forms will promote the use of the data collected. The USF
IMaRS site presently delivers products not only in simple imagery format, as many others do
(i.e. the “pretty picture” syndrome), but also as actual data. A prototype is presently implemented
at http://imars.usf.edu to enable users to “measure” temperature and ocean color parameters at
any given location, interactively and without knowing much about data formats or programming.
The application is fully OPeNDAP/DODS compliant; reviewers are encouraged to test this
simple tool.
As part of the process of interacting with SEACOOS, GCOOS, SCOOP, etc., we will help
define and adopt proper data exchange protocols, archive strategies, and web-based OGCcompliant GIS standards (e.g. WMS). Following the coordination among partner institutions,
including sharing data stores seamlessly across the sites, we will implement the viewing and
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analyzing of separate or fused data streams using graphs, images, or animations. It would allow
users to render the environment at low (synoptic) resolution or at higher (local) resolution. Of
particular benefit will be the ability to overlay other data (e.g. in situ data, hurricane trajectories)
at the user’s local client machine. The customer interacts through platform-independent web
browser technologies.
SST data suffers from cloud contamination, especially for night-time passes. The pathfinder
algorithm developed at UM/RSMAS has been used to generate global SST maps at 4-km
resolution. We propose to transport such an algorithm to process real-time AVHRR and MODIS
data, from which more reliable retrievals can be obtained and distributed.
Product delivery strategy
We seek to develop an efficient distribution system that delivers the right product, to the right
customer, at the right time. To accomplish this task, the applications will use several existing
tools, outlined below. In addition to placing information in the GCMD, RSCOOS will build on
our Virtual Ocean Distributed Oceanographic Data System (VO-DODS) implementation to
migrate data directly to the SEACOOS and GCOOS servers. DODS, also known as OPeNDAP
(Open source Project for a Network Data Access Protocol), is a software framework used for
data networking (http://www.unidata.ucar.edu/packages/dods/). DODS provides tools for making
local data accessible to remote locations, regardless of local storage format, and for transforming
existing applications into DODS clients. DODS software is free and its use has grown
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significantly among Federal entities over the past couple of years. The GrADS-DODS Server
(GDS) is a stable, secure data server that provides Internet subsetting and analysis services.
The project will further take particular advantage of the features of MapServer, an
OpenSource development environment for building spatially enabled Internet applications which
is fully compatible with ESRI’s ArcIMS. MapServer will provide the framework to publish on
the web series of remote sensing maps. We have an ongoing relationship with MapServer
developers intended to lead to full raster display and data retention capabilities as a result of our
interest to serve satellite products via the RAs. The MapServer maps will be augmented with
hyperlinks to the archived and real-time data for each of the sampling locations visible on the
maps. Similarly, the images will be presented with overlays of animated vectors for winds and
currents, and animated bar graphs for ecological indices, using shape-files presently being
generated at IMaRS.
Data and Information Policy
Our objective is to make the data public as quickly as possible, at least within 2 hours of data
acquisition. We believe that our data should be openly shared. Data will be posted immediately
upon completion of processing and quality control procedures, and will be shared freely. We
encourage scientific parties using the proposed applications to consider joint analysis efforts with
those members of the RSCOOS team responsible for the observations of interest.
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Program Management Plan
To ensure that the program objectives are met USF has assembled an experienced
management team (F. Muller-Karger, and C. Hu). Frank Muller-Karger, founder of the Institute
for Marine Remote Sensing within USF, will lead the Project Team. Muller-Karger has extensive
experience in managing multi-institutional oceanographic programs and interacting with large
groups of PI's. Specifically, Muller-Karger has served as leader of the multidisciplinary
oceanographic time series (NSF CARIACO) with funding of ~$1.2M per year. He served as
Program Scientist (Program Manager) for the Ocean Biogeochemistry Program at NASA
Headquarters between 1992 and 1994. Muller-Karger has further participated in several large
multi-PI teams, including the SeaWiFS Science Team, the NASA SIMBIOS Team, and the
Landsat Science Team, among others. He serves on the U.S. Commission on Ocean Policy by
appointment of President G. W. Bush.
C. Hu has extensive experience both in field data collection, developing and implementing
satellite data processing software schemes, and in the scientific analysis and interpretation of
results obtained with a variety of sensors including Landsat, Ikonos, CZCS, SeaWiFS, MODIS
over coastal and turbid aquatic environments. He has participated in many NASA and USGS
funded projects using NASA EOS data to study coastal oceans, deltas, and river plumes. He has
played a leading role in monitoring events on the West Florida Shelf.
E. Kearns will lead the data management and IT development. He has extensive experience
with the development of data standards, QA/QC protocols, and data transport methods through
his involvement with the SEACOOS, SCOOP, and MODIS programs. He is part of the Miami
team that had corrected, calibrated and validated the data from the MODIS instruments for the
first 3 years of MODIS in-flight operation.
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Major decision about scheduling, deadlines, composition of focus teams, assignment of
overall tasks, and planning to ensure the timely, efficient, and competent accomplishment of all
work for this project will be the responsibility of Frank Muller-Karger. However the project
strategy will be guided through consultations of the management team.
Milestone Schedule
Within 30 days of award, we will prepare a project plan, an initial list of metrics and list of 6month milestones. This information and supporting data will be sent to the appropriate NOAA
CSC official. An important aspect of the schedule will be to identify critical paths involving
linked tasks that need to be completed simultaneously.
During Year 1 we will define redundant data collection channels and processing schemes. All
metadata and component data will be reported. Processing schema will be developed and
compared to ensure compatibility among the partners. The activity builds on the Virtual Ocean
Distributed Oceanographic Data System (OPeNDAP/DODS) project, funded by the National
Oceanographic Partnership Program (NOPP), meets or exceed national standards (FGDC
compliant), will conform to the objectives and requirements of the National Spatial Data
Infrastructure (NSDI), is connected with the Global Change Master Directory (GCMD) and
ensures accuracy and interoperability with the IOOS. During Year 2, similar data types will be
cross-referenced, validated, and aggregated into like-products. Distributed processing (the grid)
will be enabled to enable resource sharing among partners. Year 3 will be a period of transition
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to operations, with an emphasis on robustness and QA/QC procedures. The team will publish
results in the peer-reviewed literature.
15
16
Project Budget
17
References
Andréfouët S. Kramer, P., Torres-Pulliza, D., Joyce, K. E., Hochberg, E. J., Garza-Perez, R.,
Mumby, P. J., Riegl, B., Yamano, H., White, W. H., Zubia, M., Brock, J. C., Phinn, S. R., &
Muller-Karger, F. E. (2002a. In press.) Multi-sites evaluation of IKONOS data for
classification of tropical coral reef environments. Remote Sensing of Environment. Special
Ikonos issue.
Andréfouët S., E. J. Hochberg, C. Payri, M.J. Atkinson, F.E. Muller-Karger, H. Ripley. 2002b
(In press). Multi-scale remote sensing of microbial mats in atolls environment International
Journal of Remote Sensing (Special issue: Remote Sensing of the Coastal Marine
Environment).
Andréfouët S., Robinson, J., Hu, C., Feldman, G., Salvat, B., Payri, C., FE Muller-Karger. 2002c
(In press). Influence of the spatial resolution of SeaWiFS, Landsat 7, SPOT and International
Space Station data on determination of landscape parameters of Pacific Ocean atolls.
Canadian Journal of remote sensing. Special issue on "Synergistic Utilisation of Landsat 7".
Andréfouet, S., P. J. Mumby, M. McField, C. Hu, F. E. Muller-Karger. 2002d. Revisiting coral
reef connectivity. Coral Reefs. 21:43-48.
Birkeland, C., Life and death of coral reefs, 536 pp., Chapman&Hall, New-York, 1997.
Bontempi, P. S. and J. A. Yoder. Bio-optical water mass and phytoplankton feature definition by
frontal edge detection algorithms in ocean color satellite imagery. SPIE Ocean Optics XV
(CD-ROM), Musée Océanographique, Monaco, 16-20 October 2000.
Boyer, J. N., J. W. Fourqurean, and R. D. Jones, R. D. Seasonal and long-term trends in the
water quality of Florida Bay (1989-1997). Estuaries, 22(2B):417-430, 1999.
Carder, K. L., Chen, F. R., Lee, Z. P., Hawes, S. K., and KamyKowski, D. (1999). Semianalytic
moderate-resolution imaging spectrometer algorithms for chlorophyll a and absorption with
Bio-optical domains based on nitrate depletion temperatures. J. Geophys. Res. 104:5403-5421.
Costanza, R., R. d'Arge, R. deGroot, S. Farber, M. Grasso, B. Hannon, K. Limburg, S. Naeem,
R.V. O'Neill, J. Paruelo, R.G. raskin, P. Sutton, and M. VanDenBelt, The value of the world's
ecosystem services and natural capital. Nature, 387:253-260, 1997.
EPA. A framework for an integrated and comprehensive monitoring plan for the estuaries of the
Gulf of Mexico. Environmental Protection Agency, GMP Monitoring Subcommittee Report.
EPA/620/R-00/006. 87 pp, 2000.
Fourqurean, J. W., and M B. Robblee. Florida Bay: A history of recent ecological changes.
Estuaries, 22:345-357, 1999.
Hodgson, G. A global assessment of human effects on coral reefs. Marine Pollution Bulletin,
38:345-355, 1999.
Hu, C., F. E. Muller-Karger, J. Taylor, D. Myhre, B. Murch, A. L. Odriozola, and G. Godoy,
2003a. MODIS detects oil spills in Lake Maracaibo, Venezuela. EOS AGU Trans.
84(33):313,319.
Hu, C., F. E. Muller-Karger, D. C. Biggs, K. L. Carder, B. Nababan, D. Nadeau, and J.
Vanderbloemen. 2003b. Comparison of ship and satellite bio-optical measurements on the
continental margin of the NE Gulf of Mexico. Int. J. Remote Sens. 24:2597-2612.
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Hu, C., K. E. Hackett, M. K. Callahan, S. Andréfouët, J. L. Wheaton, J. W. Porter, F. E. MullerKarger. 2003c. The 2002 ocean color anomaly in the Florida Bight : a cause of local coral
reef decline? Geophys. Res. Lett. 30(3), 1151, doi:10.1029/2002GL016479.
Jameson, J. W., J. W. McManus, and M. D. Spalding. State of the Reefs: Regional and Global
Perspectives, U. S. Department of State, Washington, D.C., 1995.
Kleypas, J. A. Modeled estimates of global reef habitat and carbonate production since the last
glacial maximum. Paleoceanography, 12(4): 533-545, 1997.
Liu, A. K., Y. Zhao, W. E. Esaias, J. W. Campbell, and T. S. Moore. Ocean surface layer drift
revealed by satellite data. EOS, Transactions, AGU, 83(7):61-62,64, 12 February 2002.
Ogden, J. C. Marine managers look upstream for connections, Science, 278:1414-1415, 1997.
Palandro D, S. Andréfouët, P. Dustan, FE Muller-Karger. (In press, 2002). Change detection in
coral reef communities using the Ikonos sensor and historic aerial photographs. Int. J. Remote
Sensing.
Palandro D., S. Andréfouët, FE Muller-Karger, P Dustan, C. Hu, P. Hallock (In press, 2002).
Detection of changes in coral communities using Landsat 5/TM and Landsat 7/ETM+ data.
Canadian Journal of Remote Sensing. Special issue on "Synergistic Utilisation of Landsat 7".
Paulay, G. In Life and Death of Coral Reefs (Chapman and Hall, New York, 1997), pp. 298-353,
1997.
Rabalais, N. N., R. E. Turner, D. Justic, Q. Dortch, W. J. Wiseman, Jr., and B. K. Sen Gupta.
Nutrient changes in the Mississippi River and system responses on the adjacent continental
shelf. Estuaries, 19:286-407, 1996.
Rawlins, B. G., A. J. Ferguson, P. J. Chilton, R. S. Arthurtons, and J. G. Grees. Review of
agricultural pollution in the Caribbean with particular emphasis on small island developing
states. Marine Pollution Bulletin, 36(9):658-668, 1998.
Rudnick, D. T., Z. Chen, D. L. Childers, J. N. Boyer, and T. D. Fontaine, III. Phosphorus and
Nitrogen inputs to Florida Bay: The importance of the Everglades watershed. Estuaries,
22:398-416, 1999.
Spinrad, R. 2002. Testimony before the U.S. Commission on Ocean Policy. 30 October 2002.
(http://oceancommission.gov/meetings/oct30_02/oct30_02.html).
Spalding, M. D., and A. M. Grenfell. New estimates of global and regional coral reef areas.
Coral Reefs, 16:225-230, 1997.
Southwest Florida Dark Water Observations Group (SWFDOG). Satellite images track "black
water" event off Florida coast", EOS, Trans. AGU, 83(26):281,285, 25 June 2002.
SWFDOG (2002). Satellite images track ‘black water’ event off Florida coast. EOS Trans. AGU
83:281, 285.
Taylor, C. J. Parallelization and Load Balancing of the Simple, Scalable, Script-Based Science
Processor (S4P) with a Dynamic Job Router. USF Honor’s College Thesis, 2002.
Vermote, E. F., N. El. Saleous, C. O, Justice, Y. J. Kaufman, J. L. Privette, L. Remer, J. C.
Roger, and D. Tanré (1997a). Atmospheric correction of visible to middle-infrared EOSMODIS data over land surfaces: Background, operational algorithm and validation. J.
Geophys. Res. 102:17,131-17,141.
Vermote, E. F., D. Tanré, J. L. Deuzé, M. Herman, and J-J Morcrette (1997b). Second
Simulation of the Satellite Signal in the Solar Spectrum, 6S: An Overview. IEEE Transactions
on Geoscience and Remote Sensing, 35:675-686.
Walsh, J. J. 1988. On the nature of continental shelves. Academic Press, San Diego. pp. 1-520.
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Wilkinson, C., O. Linden, H. Cesar, G. Hodgson, J. Rubens, and A.E. Strong. Ecological and
socioeconomic impacts of 1998 coral mortality in the Indian Ocean: an ENSO impact and a
warning of future change? Ambio, 28(2):188-196, 1999.
Zhang, H. Detecting red tides on the west Florida shelf by classification of SeaWiFS satellite
imagery. USF Master’s Thesis, 2002.
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Resumes
Frank Muller-Karger
Institute for Marine Remote Sensing (IMaRS), College of Marine Science, University of South
Florida, 140 Seventh Avenue South, St. Petersburg, FL 33701; Phone: (727) 553-3335 and
FAX: (727) 553-1103 / 1189; e-mail: [email protected] / http://imars.usf.edu
Education: Ph.D. 1988 (UMD), MS in Management 2001 (USF), MS Biological Oceanography
1984 (UAK), BS Biological Oceanography 1979 (FIT).
Professional: Commissioner, U.S. Commission on Ocean Policy (2001-present); Full Professor
(tenured 1994): University of South Florida; 1994-present; Program Scientist, Ocean
Biogeochemistry: NASA Headquarters, 1992-1994; Program Scientist, SeaWiFS, 1992-1994;
Assistant Professor: University of South Florida, 1989-1994.
Selected Publications (not a complete list):
Muller-Karger, F. E., R. Varela, R. C. Thunell, M. I. Scranton, G. T. Taylor, Y. Astor, E. Tappa, M. A.
Goñi, R. N. Sambrotto, H. Zhang, M. McIntyre, B. Marin, C. Hu, M. Iabichella, T.-Y. Ho, and R. H.
Weisberg. (2003, in press). CARIACO: A Time Series of Primary Production and Vertical Export in
the Cariaco Basin. In: JGOFS CMTT Synthesis.
Muller-Karger, F. E., R. Varela, R. Thunell, Y. Astor, H. Zhang, and C. Hu. (In press, 2003). Processes of
Coastal Upwelling and Carbon Flux in the Cariaco Basin. Deep-Sea Research II.
Chuanmin Hu
Institute for Marine Remote Sensing (IMaRS), College of Marine Science, University of South
Florida, 140 Seventh Ave. South, St. Petersburg, FL 33701; Phone: (727)553-3987; Fax:
(727)553-1103; Email: [email protected]; Internet: http://imars.usf.edu
Education: Ph.D. Physics, 1997, UMiami. MS Physics 1992, Academia Sinica, BS Physics 1989,
University of Sci. and Tech. of China
Professional: Research Associate/Assistant Professor, IMaRS, USF/CMS (1998 – present);
Research Assistant, UMiami, Physics Department (1993 – 1997)
Selected Related Publications (not a complete list):
Hu, C., F. E. Muller-Karger, J. Taylor, D. Myhre, B. Murch, A. L. Odriozola, and G. Godoy,
2003. MODIS detects oil spills in Lake Maracaibo, Venezuela. EOS AGU Trans.
84(33):313,319.
Hu, C., K. E. Hackett, M. K. Callahan, S. Andréfouët, J. L. Wheaton, J. W. Porter, F. E. MullerKarger. 2003. The 2002 ocean color anomaly in the Florida Bight : a cause of local coral reef
decline? Geophys. Res. Lett. 30(3), 1151, doi:10.1029/2002GL016479.
The South West Florida Dark Water Observation Group (SWFDOG, Hu, C., and 26 others),
2002. Satellite images track 'black water' event off Florida coast. Eos. AGU Trans.
83(26):281,285.
Hu, C., E. Montgomery, R. Schmitt, and F. E. Muller-Karger. The Amazon and Orinoco River
plumes in the tropical Atlantic: Observation from space and S-Floats. Deep Sea Res.-II, in
press (http://imars.usf.edu/~hu/river/amazon/Amazon_DSR_revision_Jul2003.doc)
Hu, C., F. E. Muller-Karger, D. C. Biggs, K. L. Carder, B. Nababan, D. Nadeau, and J.
Vanderbloemen. 2003. Comparison of ship and satellite bio-optical measurements on the
continental margin of the NE Gulf of Mexico. Int. J. Remote Sens. 24:2597-2612.
Hu, C., F. E. Muller-Karger, and R. G. Zepp. 2002. Absorbance, absorption coefficient, and
apparent quantum yield: A comment on common ambiguity in the use of these optical
concepts. Limnol. Oceanogr. 47:1261-1267.
21
22
Nan Walker
College of Marine Science, University of South Florida, 140 Seventh Avenue South, St.
Petersburg, FL 33701; (727)553-1631; (727)553-1189 FAX; [email protected]
Ed Kearns
College of Marine Science, University of South Florida, 140 Seventh Avenue South, St.
Petersburg, FL 33701; (727)553-1631; (727)553-1189 FAX; [email protected]
23
LETTERS OF SUPPORT
_______________________________________________________________________
From: [email protected]
Date: Wed, 22 Oct 2003 13:53:33 -0500
To: [email protected]
Subject:
Letter of Support
_______________________________________________________________________
To Whom It May Concern:
The U.S. Environmental Protection Agency’s Gulf of Mexico Program has
had the unique opportunity to work both directly and indirectly with the
University of South Florida’s Institute for Marine Remote Sensing
(IMaRS) on a number of highly successful efforts to providing
science-based information and tools to coastal managers. As you are
aware, we currently cooperate with IMaRS on a number of important
projects involving the advanced development and deployment of the
Harmful Algal Bloom Observing System (HABSOS).
In recent months we have begun to expand the HABSOS pilot to include the
six states of Mexico that border the Gulf. IMaRS will serve a critical
role in supporting the technical capacity needed to carryout both the
domestic as well as the binational structure of the HABSOS system.
Integrating IMaRS’ remote sensing information with other HABSOS
capabilities will ultimately lead to an improved ability to study,
understand, monitor, and eventually forecast the coastal water quality
conditions that are critical to the sustainable utilization of the Gulf.
I therefore fully support this proposal to NOAA to develop a formal set
of products, protocols, and interfaces to the various IOOS/COOS regional
associations. Success in this work will result in essential
improvements in our abilities to develop and deploy applications within
these observing system structures.
/s/
Bryon O. Griffith
Acting Director
Gulf of Mexico Program Office
U.S. Environmental Protection Agency
2
Subject:
Support for NOAA Coastal Ocean Remote Sensing Proposal
From: "Kovach, Charles" <[email protected]>
Date: Tue, 21 Oct 2003 11:58:00 -0400
To: <[email protected]>
Subject: Support for NOAA Coastal Ocean Remote Sensing Proposal
Dr. Muller-Karger,
It is particularly timely to hear of your efforts to integrate remote
sensing observations with regional observing systems. This communication is
being sent to express our support and ability to participate in your
continuing development of applications for resource management using remote
sensing data, with a focus on estuarine and coral reef environments. As you
are aware, we have been working here on developing regionally appropriate
indices for various water quality parameters (e.g., chlorophyll, dissolved
organic carbon, total suspended solids) in conjunction with our assessment of
water quality in the State of Florida. This has been primarily through the
use of airborne remote sensing. We are also currently working on a project
with LANDSAT 7 imagery and ground truthing in Tampa Bay, including some
collaborative efforts with USGS and local governments.
We have also found great utility in using remotely sensed data for some
permit-related monitoring and tracking the impacts of major meteorological
and oceanographic events that affect the coast of Florida.
Sincerely,
Charles Kovach
Florida Department of Environmental Protection, SWD
Watershed Management, Env. Mngr.
3804 Coconut Palm Drive
Tampa Florida 33619-1352 USA
813-744-6100 x329
740-3906 fax
SC 512-1042 x329
514-1799 fax
[email protected]
3
U.S. DEPARTMENT OF COMMERCE
National Oceanic and Atmospheric Administration
Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway Miami FL 33149
November 15, 2002
October 25, 2003
Dear Frank,
Thank you for inviting me to collaborate with you in your NOAA Coastal Ocean Remote
Sensing project. The kind of approach that you describe in your proposal is exactly what is
needed to merge cutting edge science and coastal ocean resource management in a way that will
aid in NOAA's mission of better stewardship of our coastal marine and estuarine environments.
I am particularly excited about the possibility of incorporating real-time remotely-sensed ocean
color and water quality observations into the South Florida Ecosystem Restoration program. I
believe that this is a critical yet underutilized data source that will be of great value to the
resource managers of the Florida Keys National Marine Sanctuary, the Tortugas Ecological
Reserve, and Florida and Biscayne Bays.
Towards your stated goals of establishing regional algorithms for estuarine systems to
accurately estimate the optically-important constituents and to obtain reliable water quality
indices, I would like to offer (at no additional cost to NOAA) any resources and/or data that you
would find helpful. For example, in collaboration with my colleagues at AOML and the
University of Miami, I conduct bimonthly interdisciplinary research cruises covering the region
from the Caloosahatchee River to the Dry Tortugas to Miami, encompassing the Florida Keys. I
also conduct monthly surveys of the shallow waters of Florida Bay and Biscayne Bay. In
addition to our standard in-situ shipboard observations of temperature, salinity, dissolved
oxygen, chl_a fluorescence, CDOM, turbidity, etc., we would be willing to add additional optical
measurements during these cruises at your suggestion. We also maintain moored arrays in the
vicinity of the river mouths of the southwest Florida shelf and on the Atlantic side of the Florida
Keys. We deploy satellite-tracked surface drifters near the Shark River and in the Dry Tortugas
regularly and provide their trajectories in real-time, and are in the process of converting some of
our moorings to real-time communications as well. I would be happy to make these data
available to you for ground-truthing of your satellite observations and for assisting in their
interpretation.
Finally, I look forward very much to working with you and your associates in the analysis
of the combined remote sensing and in-situ data, and in the development of applications that will
be welcomed and really put to use by resource managers of the South Florida coastal ocean
ecosystems. Thank you for including me.
Sincerely,
Elizabeth Johns,
Physical Oceanographer
NOAA/AOML/PhOD