Direct Broadcast at the Institute for Marine Remote Sensing The Institute for Marine Remote Sensing (IMaRS), located at the University of South Florida.

Slides:



Advertisements
Similar presentations
Transitioning unique NASA data and research technologies to the NWS 1 Stephanie L Haines and Frank LaFontaine June 12, 2007 Compositing of MODIS Products.
Advertisements

NOAA National Geophysical Data Center
1 SWALIM Workshop, Nairobi June 2007 N. Hoepffner, M.Clerici, and S. Djavidnia* Global Environment Monitoring Unit EC-JRC, Ispra The African Marine.
System Science Applications, Inc. EASy: An Environmental System for Mapping and Modeling Aquatic Systems.
Ecology, Climate, Physical Oceanography. Bering Sea, Alaska SeaWifs Image (Norman Kuring image, NASA, April 25, 1998) Turquoise = phytoplankton bloom.
Characterization of radiance uncertainties for SeaWiFS and Modis-Aqua Introduction The spectral remote sensing reflectance is arguably the most important.
A Tutorial on MODIS and VIIRS Aerosol Products from Direct Broadcast Data on IDEA Hai Zhang 1, Shobha Kondragunta 2, Hongqing Liu 1 1.IMSG at NOAA 2.NOAA.
Characterization of Mesophotic Coral Reefs Using the Seabed AUV Roy A. Armstrong 1 and Hanumant Singh 2 1 Bio-optical Oceanography Laboratory, Deapartment.
VENUS (Vegetation and Environment New µ-Spacecraft) A demonstration space mission dedicated to land surface environment (Vegetation and Environment New.
Temporal and Spatial Variations of Sea Surface Temperature and Chlorophyll a in Coastal Waters of North Carolina Team Members: Brittany Maybin Yao Messan.
Use of Remote Sensing for Routine Coastal Water Monitoring by a State Agency Bob Connell New Jersey Department of Environmental Protection Bureau of Marine.
DROUGHT MONITORING THROUGH THE USE OF MODIS SATELLITE Amy Anderson, Curt Johnson, Dave Prevedel, & Russ Reading.
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
Using NASA capabilities for biodiversity assessment and ecological forecasting in coral reef environments Frank Muller-Karger, Christopher Moses Serge.
Satellite Remote Sensing – An Appropriate Technology Solution for the Region. Deanesh Ramsewak, Remote Sensing Officer, Institute of Marine Affairs, Trinidad.
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
UNDERGRADUATE RESEARCH EXPERIENCE Derek Morris Jr. (Elizabeth City State University), Shahee Jackson (Elizabeth City State University), Andrew.
MODIS: Moderate-resolution Imaging Spectroradiometer National-Scale Remote Sensing Imagery for Natural Resource Applications Mark Finco Remote Sensing.
1 Using Multi-temporal MODIS 250 m Data to Calibrate and Validate a Sediment Transport Model for Environmental Monitoring of Coastal Waters.
Aerial Photographs and Remote Sensing Aerial Photographs For years geographers have used aerial photographs to study the Earth’s surface. In many ways.
Sentinel: Dynamic Fire Location Mapping. Near- Real Time Emergency Mapping Environmental Remote Sensing Group CSIRO Land and Water Defence Imagery & Geospatial.
The GEOSS Portfolio for Science and Technology Produced by ST Featuring: Climate: Capacity Building of Operational Oceanography and Climate Adaptation.
Considerations for future remote sensing activities Edward D. Santoro, M.S. Monitoring Coordinator Delaware River Basin Commission
Sharon Brown, Program Manager Keisha Wilkins, Research Associate Elizabeth City State University Dixon Hall Room 232 Phone: Fax:
Jasmine S. Nahorniak Mark R. Abbott Ricardo M. Letelier Curt Vandetta Bridges to the Community NASA grant NNG05GA73G International EOS/NPP Direct Broadcast.
GOES-R, May 2004 Coastal Ocean Science Harmful Algal Blooms and GOES-R GOES-R Users Conference, 2004 SeaWiFS data from OrbImage, Inc. Richard P. Stumpf.
Fisheries research, management and the market place: Linking environmental data and recreational anglers to help understand fish distribution and habitat.
“OnEarth” WMS Server WMS Global Mosaic Lucian Plesea Jet Propulsion Laboratory California Institute of Technology.
Harmful Algal Blooms A marine ecosystem manager is interested in using satellite and ocean model products to find precursors for the determination of harmful.
Options for access to multi- source fire data John Owens Department of Geography University of Maryland.
MODIS Land Product Subsets Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen HDF and HDF-EOS Workshop XII October 15 – October.
Application of remote sensed precipitation for landslide hazard assessment Dalia Kirschbaum, NASA GSFC, Code The increasing availability of remotely.
From Ocean Sciences at the Bedford Institute of Oceanography Temperature – Salinity for the Northwest.
ABSTRACT In recent years, the NOAA CoastWatch Okeanos Ocean Color Operational Production System (OPS) has been providing a series of high quality ocean.
Terra Remote Sensing. Terra Remote Sensing Inc. is an internationally based Canadian remote sensing company with a background of 40.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 SPoRT Extensions to Coastal WFOs EOS Data and Products.
EOS Terra MODIS Land Processing and Distribution Overview Joseph M Glassy, Director, MODIS Software Development at NTSG School of Forestry, Numerical Terradynamics.
“MODIS Direct Broadcast &Rapid Response Capabilities: Getting Information to Operational Decision Makers” An Earth Science Vision: Technology Pathways.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Presented by Menghua Wang.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Science applications of ARIES data at BAS McMurdo Ground Station Science Workshop 9 – 11 March 2004 Andrew Fleming British Antarctic Survey.
DEVELOPING HIGH RESOLUTION AOD IMAGING COMPATIBLE WITH WEATHER FORECAST MODEL OUTPUTS FOR PM2.5 ESTIMATION Daniel Vidal, Lina Cordero, Dr. Barry Gross.
Sea surface temperature gradient comparisons from MODIS and AVHRR sensors Ed Armstrong 1, Grant Wagner, Jorge Vazquez, Mike Chin, Gregg Foti, Ben Holt,
January Role of the Private Sector in Providing Satellite Remote Sensing Information Robert L. (Buzz) Bernstein SeaSpace Corporation
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 CoastWatch / OceanWatch Presented.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Aristeidis K. Georgoulias Contribution of Democritus University of Thrace-DUTH in AMFIC-Project Democritus University of Thrace Laboratory of Atmospheric.
The Physical Observing System: From Monitoring and Predicting Hazards to Long Term Changes Doug Wilson Co-Chairman, IOCARIBE-GOOS U.S. NOAA GEO CZCP Workshop.
Further information Results 19 tournaments surveyed : 415 interviews; 579 fishing locations; 1,599 fish hooked/landed Variable.
NASA Earth Observing System Visualization Tools ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Introduction.
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Suhung Shen James G. Acker Denis Nadeau George Serafino Goddard Earth Sciences (GES) Data and Information Services Center (DISC) Distributed Active Archive.
NERC Earth Observation Data Acquisition & Analysis Service The NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) is a NERC service.
RSSJ.
Linkages between environmental conditions and recreational king mackerel catch off west-central Florida Carrie C. Wall Frank E. Muller-Karger Chuanmin.
State Agency Needs for Remote Sensing Data Related to Water Quality By Bob Van Dolah Marine Resources Research Institute South Carolina Department of Natural.
Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013 M. Ondrusek,
Using NASA capabilities for biodiversity assessment and ecological forecasting in coral reef environments Christopher Moses, Frank Müller-Karger, and Serge.
Raytheon Polar Services Company UNITED STATES ANTARCTIC PROGRAM McMurdo Ground Station Workshop Columbus, OH USAP Terascan Satellite Data Systems Overview.
Metrics and MODIS Diane Wickland December, Biology/Biogeochemistry/Ecosystems/Carbon Science Questions: How are global ecosystems changing? (Question.
INSTITUTO DEL MAR DEL PERU REMOTE SENSING LABORATORY HIGH RESOLUTION AVHRR SST IN PERUVIAN COAST Carlos Paulino and Luis Escudero 25 June, 2010
Image Processing Algorithms for Identifying the Gulf Oil Spill Mingrui Zhang, Ph.D. Computer Science Department Winona State University.
Ocean Monitoring and Forecasting A Commercial Perspective Dr Ralph Rayner Ocean Numerics/Fugro GEOS.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
Surface Current Mapping in the Lower Chesapeake Bay INTRODUCTION High frequency RADAR antennas are used to observe the surface circulation patterns in.
Brenda Leroux Babin Louisiana Universities Marine Consortium Lei Hu Dauphin Island Sea Lab, Alabama A Tale of Two Observing Systems: September 10-11, 2008Environmental.
Presentation transcript:

Direct Broadcast at the Institute for Marine Remote Sensing The Institute for Marine Remote Sensing (IMaRS), located at the University of South Florida College of Marine Science, in St. Petersburg, FL, USA, has involved in direct broadcast since The goal of the IMaRS direct broadcast activities is to provide valid and timely environmental information based on remotely sensed and in-situ datasets to researchers, educators, government, and industry on international, nation, state, and local scales. The Earth Observing System DB station at IMaRS provides unique fulfillment to regional data user due to the area of coverage our location provides as well as our ties with the Caribbean data user community. IMaRS currently has two receiving antennas from SeaSpace Corporation, one for L-band reception (SeaWiFS and AVHRR) and another for X-band reception (MODIS Terra and Aqua). Processing Software: Scheduling and capture done with TeraScan from SeaSpace. Automation done with Simple, Scalable, Script-based, Science Processor (S4P), and with the S4P Router to utilize S4P in a clustered environment. Data is processed with MODAPS type code, MOD_PR02, MODCOL, to make data products very close to those available at the DAAC’s. Mapping is done with in-house developed map_modis software. Map_modis is written in the Perl Data Language (PDL), and a little C++. Map_modis is very flexible and makes the best 250m images available, as well as all of the other images here. IMaRS Processing System Summary (6) Estuary monitoring 250-m and 500-m data are used to generate RGB images online. IMaRS is working on algorithm to make quantitative use of these bands. (2) Fish forecast USF IMaRS is working with ocean fishing industry to provide fishing forecast maps on a daily basis. Ocean fronts are annotated on these maps to help identify fish. IMaRS Educational Applications: Teacher workshops School classroom demonstrations Environmental Distance Learning (EDL) IMaRS DB Applications: Judd Taylor, Frank Muller-Karger, Chuanmin Hu, Brock Murch Acknowledgements: NASA Headquarters (Dr. Jim Dodge) SeaSpace Corporation USF Financial and Technical Support All of our partners Contact: Judd Taylor 011 (727) ; Figure 1: IMaRS receives data from seven remote sensing platforms daily covering the entire Intra Americas Sea (IAS) and Western Atlantic. This is a typical MODIS daily coverage. Processing Hardware: 2 IDE RAID5 File Servers with >4TB Storage ~($8000/ea) GigE Copper Interconnect (cheap switches, ~ $1400) 5X Dual AMD 64-bit Opteron Nodes, 1GB (~$2000/ea) 5X AMD Athlon XP Nodes, 512MB (~$1200/ea) Figure 3: Very simplified data flow showing the IMaRS processing system Figure 2: X-band antenna, S4P Cluster, L-band antenna Figure 9: 250m image of Chesapeake Bay. Figure 4: MODIS chl-a image showing features (red arrows) that are possibly due to discharged treated industry water. Figure 5: Value-added maps for the commercial fishing industry, Courtesy ROFFS (4) Real-time assistance with field campaign IMaRS is helping Mote Marine Lab to tag dolphins with MODIS real-time DB data. Dolphins often appear near ocean fronts. Twelve dolphins have been tagged in five days. Figure 7: IMaRS data products used to find ocean fronts (color and temperature) for dolphin tagging. Note the increment in temperature. USF IMaRS has been continuously using both historical and real- time data for scientific applications such as coastal carbon dynamics and water quality monitoring. In addition, we have developed several applications where real-time data availability is critical: 1) Ocean discharge monitoring (Figure 4) 2) Fishing forecast (Figure 5) 3) Pollution (oil spill) monitoring (Figure 6) 4) Real-time assistance with field campaign (7) 5) Bloom and Plume monitoring (including red tides) (Fig. 8) 6) Estuary monitoring (Figure 9) (1) Discharge monitoring USF IMaRS is using MODIS DB data to help the Florida Department of Environmental Protection to monitor the potential environmental impact of the industry water discharge on the ocean. Such a monitoring is performed on a daily basis, with customized data products for location and color stretching. Chlorophyll contrast of 0.01 – 0.02 mg/m3 (Figure 4) is detected due to the high sensitivity of MODIS instrument. Such a small contrast is very likely treated by ship survey as noise. MODIS Terra and Aqua provide twice as much daily coverage as from SeaWiFS, therefore significantly improve the daily monitoring. (3) Pollution detection and tracking MODIS DB data (250-m) provides an unprecedented too to monitor oil spills in aquatic environment because of its extensive spatial coverage and daily revisit and moderate resolution. All global data are freely available at DAAC. Figure 7: Oil spill detection. Top: MODIS DB data (250-m) over Lake Maracaibo, Venezuela; Bottom: Aerial photograph showing oil spill patches. (5) Blooms/Plumes IMaRS is monitoring water quality (including red tides) at several coastal system, including the coral reef near the Florida Keys. Figure 8. Dark water patches observed from MODIS DB imagery. MODIS Nov. 12, 2003