Fire Products NASA ARSET-AQ Links Updated November 2013 ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences.

Slides:



Advertisements
Similar presentations
NOAA National Geophysical Data Center
Advertisements

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.
SPoRT Products in Support of the GOES-R Proving Ground and NWS Forecast Operations Andrew Molthan NASA Short-term Prediction Research and Transition (SPoRT)
GOFC/GOLD - Fire Requirements for Fire Observations.
The North American Carbon Program Google Earth Collection Peter C. Griffith, NACP Coordinator; Lisa E. Wilcox; Amy L. Morrell, NACP Web Group Organization:
Satellite based estimates of surface visibility for state haze rule implementation planning Air Quality Applied Sciences Team 6th Semi-Annual Meeting (Jan.
MODIS Web Fire Mapper an example of internet GIS technology to support decision making Diane Davies and Suresh Kumar Department of Geography University.
Canadian Wildland Fire Information System Natural Resources Canada Canadian Forest Service Ressources naturelles Canada Service canadian des forêts.
Application of Satellite Data to Fire & Aerosol Monitoring at the NOAA's Satellite and Information Service by Donna McNamara 1, George Stephens 1, Shobha.
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.
Recent Comparison/Validation Studies of the Wildfire ABBA (WF_ABBA) in North and South America Joleen M. Feltz *, Michel Moreau ^, Elaine M. Prins +, Kirsten.
NOAA’s Multi-Sensor Fire Detection Program Using Environmental Satellites by Donna McNamara 1, George Stephens 1, Rob Fennimore 1, Tim Kasheta 2, Tom Callsen.
ADVANCED FIRE INFORMATION SYSTEM AFIS I AFIS is the 1 st satellite based, near real time fire information system developed to fulfill the needs of both.
GOES-R AEROSOL PRODUCTS AND AND APPLICATIONS APPLICATIONS Ana I. Prados, S. Kondragunta, P. Ciren R. Hoff, K. McCann.
Satellite Imagery Meteorology 101 Lab 9 December 1, 2009.
Climate, Meteorology and Atmospheric Chemistry.
Division of Satellites and Environmental Systems Applications of GOES-SA (South America)
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA Operational Geostationary Sea Surface Temperature Products from NOAA.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Air Quality Products from.
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
Infusing satellite Data into Environmental Applications (IDEA): PM2.5 forecasting tool hosted at NOAA NESDIS using NASA MODIS (Moderate Resolution Imaging.
Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.
Satellite Imagery, Access and Interpretation Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing.
Fire Products Training Workshop in Partnership with BAAQMD Santa Clara, CA September 10 – 12, 2013 Applied Remote SEnsing Training (ARSET) – Air Quality.
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 –
An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.
IDEA - Infusing satellite Data into Environmental (air quality) Applications Summer 2003: Prototype Analysis, Fusion, and Visualization of NASA ESE and.
Abstract NASA’s Land Atmosphere Near-real-time Capability for EOS (LANCE) provides access to near real-time (NRT) products from 4 instruments: AIRS (Aqua)
Visualization, Exploration, and Model Comparison of NASA Air Quality Remote Sensing data via Giovanni Ana I. Prados, Gregory Leptoukh, Arun Gopalan, and.
Elaine M. Prins NOAA/NESDIS/ORA Advanced Satellite Products Team Madison, Wisconsin Chris C. Schmidt Joleen M. Feltz UW-Madison.
SERVIR-AFRICA: an overview André Kooiman International workshop on higher resolution Land cover mapping for the African continent UNEP, 27 June 2013.
Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.
Estimates of Biomass Burning Particulate Matter (PM2.5) Emissions from the GOES Imager Xiaoyang Zhang 1,2, Shobha Kondragunta 1, Chris Schmidt 3 1 NOAA/NESDIS/Center.
Infusing satellite Data into Environmental Applications (IDEA): R. Bradley Pierce NOAA/NESDIS/STAR PM2.5 forecasting tool hosted at NOAA NESDIS using NASA.
Using MODIS fire count data as an interim solution for estimating biomass burning emission of aerosols and trace gases Mian Chin, Tom Kucsera, Louis Giglio,
MODIS Workshop An Introduction to NASA’s Earth Observing System (EOS), Terra, and the MODIS Instrument Michele Thornton
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Fire Monitoring Ivan Csiszar 1(GOVERNMENT PRINCIPAL INVESTIGATOR), Brad.
Future Satellite Capabilities for Air Quality Applications Future Satellite Capabilities for Air Quality Applications ARSET - AQ Applied Remote SEnsing.
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.
1 GOES-R Air Quality Proving Ground Leads: UAH UMBC NESDIS/STAR.
Causes of Haze Assessment Update for Fire Emissions Joint Forum -12/9/04 Meeting Marc Pitchford.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
Aristeidis K. Georgoulias Konstantinos Kourtidis Konstantinos Konstantinidis AMFIC Web Data Base AMFIC Annual Meeting - Beijing October 2008 Democritus.
Elaine M. Prins NOAA/NESDIS/ORA Advanced Satellite Products Team Madison, Wisconsin Joleen M. Feltz Christopher C. Schmidt UW-Madison.
Air Quality Applications of NOAA Operational Satellite Data S. Kondragunta NOAA/NESDIS Center for Satellite Applications and Research.
Elaine M. Prins NOAA/NESDIS/ORA/ARAD Advanced Satellite Products Team Madison, Wisconsin Joleen M. Feltz Chris C. Schmidt Cooperative Institute for Meteorological.
NASA and Earth Science Applied Sciences Program
NESDIS Office of Research and Applications Overview of the GOES Biomass Burning Monitoring Program FY04 Elaine M. Prins NOAA/NESDIS/ORA Advanced Satellite.
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,
The BIG Picture Earth Observing Systems (EOS) and the Global Earth Observing System of Systems (GEOSS) Dorsey Worthy U.S. EPA, Office of Research and Development.
An overview of the improvements with the version 6.5 WF_ABBA and trend analyses of fires from 1995 to present over the western Hemisphere Jason C. Brunner.
Uncertainties in Wildfire Emission Estimates Workshop on Regional Emissions & Air Quality Modeling July 30, 2008 Shawn Urbanski, Wei Min Hao, Bryce Nordgren.
Retrieval Algorithms The derivations for each satellite consist of two steps: 1) cloud detection using a Bayesian Probabilistic Cloud Mask; and 2) application.
Rationale for a Global Geostationary Fire Product by the Global Change Research Community Ivan Csiszar - UMd Chris Justice - UMd Louis Giglio –UMd, NASA,
Breakout Session 1 Air Quality Jack Fishman, Randy Kawa August 18.
Assimilation of Satellite Derived Aerosol Optical Depth Udaysankar Nair 1, Sundar A. Christopher 1,2 1 Earth System Science Center, University of Alabama.
Fire, Smoke & Air Quality: Tools for Data Exploration & Analysis : Data Sharing/Processing Infrastructure This project integrates.
Climate, Meteorology and Atmospheric Chemistry.
Eun-Su Yang and Sundar A. Christopher Earth System Science Center University of Alabama in Huntsville Shobha Kondragunta NOAA/NESDIS Improving Air Quality.
PM 2.5 Transport From Wildfires Case Study: Bugaboo Fire – Georgia/Florida, May 2007 Sean Ryan.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
Instructors: Amita Mehta (ARSET) Kyle Peterson (ARSET) Week-4
VEGA-GEOGLAM Web-based GIS for crop monitoring and decision support in agriculture Evgeniya Elkina, Russian Space Research Institute The GEO-XIII Plenary.
Use of Satellite Data for Georgia’s Air Quality Planning Activities Tao Zeng and James Boylan Georgia EPD – Air Protection Branch TEMPO Applications.
Synthetic GOES-R Imagery of Agricultural Burning and Forest Wildfires
Current Satellites, Products, and Activities
NOAA GOES-R Air Quality Proving Ground Case Study 2 May 24, 2007
Medhavy Thankappan and Lan-Wei Wang
Presentation transcript:

Fire Products NASA ARSET-AQ Links Updated November 2013 ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences

Fire Products Summary Abba Fire Products GOES fire imagery for North and South America Geostationary loops for past 24 hours * NOAA Hazard Mapping System Operational Daily Fire and Smoke Analysis North America Geostationary and Polar Orbiting Data Real time satellite imagery loops Archive image and KML files for the past 6 months NOAA Storm Prediction Center Fire Weather Outlooks & Forecasts for 1 to 8 days for U.S. Forest Service Active Fire Mapping Program Interactive Fire Detection Mapping for the past 24 hours. U.S. and Canada Historical KML files of fire detection and fire radiative power available beginning July 2008 Monthly burn scar data in KML format. FIRMS – Fire Information for Resource Management System Global MODIS interactive fire maps for any period during the MODIS mission Burned area interactive map. KML files for past 6 days * alerts for active fires.

Product Integrates Satellite Data Automated Fire Detection Algorithms Ancillary Data Layers NOAA Hazard Mapping System (HMS) Operational daily fire and smoke analysis for North America Automated Fire Detection and Human Input Analysts review fire detections and retain or delete them Analysts can add hotspots that the algorithms have not detected.

NOAA Hazard Mapping System Fire and Smoke Product Fire Information from MODIS and GOES, Complied by NOAA Link to archived products Active products are only for the past 24 – 48 hours

NOAA Hazard Mapping System Fire and Smoke Product Fire Information from MODIS and GOES, Complied by NOAA Select type of fire product Next select format and time period.

Fire and Smoke KML Files from NOAA HMS as Displayed in Google Earth Clicking on a fire symbol will display information about the fire.

Interactive GIS HMS Map from NOAA Click on “Getting Started” for information about the map and how to use it.

NOAA Hazard Mapping System (HMS) Satellite input information for HMS Satellite Sensor SWIR nominal resolutionRefresh RateGeographic coverage Automated detection algorithm GEOSTATIONARY GOES-East GOES-West 4km15 minutes CONUS/Canada/ Central AmericaWFABBA Western half of CONUS/Alaska/Hawaii POLAR NOAA-15/17/18 MODIS Terra MODIS Aqua 1km Twice/day low/mid latitudes More frequent at high latitudes Most of North/Central America except NOAA-15 which does not cover Western US FIMMA MODIS

FIRMS – Fire Information for Resource Management System Global MODIS interactive fire maps for any period during the MODIS mission Burned area interactive map. KML files for past 6 days alerts for active fires. This is the only site covered in this presentation with global fire data.

MODIS Active Fire Mapping Program Fire Information from MODIS Complied by USDA The burn scar product can be accessed here. FIRMS – Fire Information for Resource Management System data/firms

MODIS Active Fire Mapping Program Fire Information from MODIS Complied by USDA The burn scar product can be accessed here. Alerts can be used to design a custom alert to inform you of fire events in your area of interest

Firms Web Fire Mapper Uses Only MODIS Detections The burn scar product can be accessed here. Alerts can be used to design a custom alert to inform you of fire events in your area of interest Default Display is past 48 hours These controls can be used to display a range of historical dates Plus and Minus can be used to change the start and end dates Arrows can be used to shift the entire range of selected dates

MODIS Active Fire Mapping Program Fire Information from MODIS Complied by USDA The burn scar product can be accessed here. Active Fire Data provides access to 24 hr, 48 hr and 7 day data in several formats.

You can also create a custom request for data which will be processed for you as either a shape file or in csv format.

Forest Service Active Fire Mapping Program Interactive Fire Detection Mapping for the past 24 hours. U.S. and Canada Historical KML files of fire detection and fire radiative power available beginning July 2008 Monthly burn scar data in KML format.

MODIS Active Fire Mapping Program Fire Information from MODIS Complied by USDA Select a fire from the drop down menu to get additional information. The burn scar product can be accessed here.

USDA Active Fire Mapping Program MODIS Fire Detections Displayed in Google Earth Clicking on a fire symbol will display information about the fire.

Abba Fire Products GOES fire imagery for North and South America Geostationary loops for past 24 hours Go to the “Realtime loops” link for more information and to find the loops.

The GOES Wildfire Automated Biomass Burning Algorithm (WF_ABBA) ftp://sate psanone.nesdis.noaa.gov/FIRE/ABBA/Binary Data: - Automatically locates and characterizes sub-pixel fires in GOES imagery in the Western Hemisphere - The product is run every 30 minutes Product includes: - Fire Location (lat./lon.) - Estimates of Fire Size and Temperature - Ecosystem Type. WF_ABBA fire product available as: - ASCII text files, AREA files - Alpha-blended composite imagery

Displays include three overviews and 35 regional views of the Western Hemisphere. Examples of Regional View Sectors University of Wisconsin-Madison CIMSS/ASPT GOES-10/-12 Half-hourly Wildfire ABBA Web Distribution

Example of the GOES Wildfire ABBA Monitoring System in the Western Hemisphere

GOES-8 Wildfire ABBA Summary Composite of Filtered Half-Hourly Fire Observations for the Western Hemisphere Time Period: September 1, 2001 to August 31, 2002 The composite shows the much higher incidence of burning in Central and South America, primarily associated with deforestation and agricultural management. Fire Pixel Distribution North America (30-70°N): 12% Central America (10-30°N): 11% South America (70°S-10°N): 77% Processed Saturated Cloudy High Possibility Medium Possibility Fire Pixel Category The base map for this composite image is derived from the Global Land Cover Characteristics database provided by the USGS

Applications of the GOES Wildfire ABBA in Modeling Programs Collaborations result in submission/publication of 3-peer reviewed publications in FY03 Real-time Assimilation at the University of Sao Paulo and CPTEC/INPE into the RAMS model Point Sources for 13 August 2002 RAMS CO Product RAMS PM2.5 Product GOES-8 WF_ABBA Fire Product Real-time Assimilation into the Naval Research Laboratory Navy Aerosol Analysis and Prediction System (NAAPS) GOES WF_ABBA Fire Product 22 August 2003 at 17:45 UTC NAAPS Smoke Optical Depth 22 August 2003 at 18:00 UTC GOES-8 ABBA Fire and MACADA Cloud Products Used in Study to Model and Predict Future Fire Activity at UNH Collaboration with Univ. of New Hampshire Inst. for Study of Earth, Oceans, and Space Other Modeling Efforts and Collaborations  Climate Modeling at NASA/GSFC: Assimilation into the GOCART model  Real-time Air Quality Modeling at NASA/Langley: Real-time assimilation into the RAQMS model as part of IDEA (Infusing satellite Data into Environmental Applications)  Fire Emissions and Regional Air Quality Modeling at NCAR: Assimilation into the U.S. EPA Community Multiscale Air Quality model in support of the 2002 SMOCC campaign in Brazil Intermediate Deforestation Scenario Predicted increase in future regional fire activity: 22% Complete Deforestation Scenario Predicted increase in future regional fire activity: 123% Number of Fire Pixels

National Weather Service Data Current, Past, Fire, and Forecasted Weather Files from NWS Not working