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    Archived pages: 21 . Archive date: 2012-11.

  • Title: Modis Active Fire and Burned area Products_Index
    Descriptive info: .. Home.. Active Fire Products.. Burned Area Products.. Contact Us.. FAQ.. Rationale.. Publications.. Partners.. Links.. Welcome to MODIS Active Fire.. and Burned Area Products.. Fire is a complex biophysical process with multiple direct and indirect effects on the atmosphere, the biosphere and the hydrosphere.. Moreover, it is now widely recognized that, in some fire prone environments, fire disturbance is essential to maintain the ecosystem in a state of equilibrium.. Figure:.. Fires in the Bahamas, Florida and Cuba (03 April 2004, 18:30 UTC) identified using  ...   fire and burned area products contain information unique to understanding the timing and spatial distribution of fires and their characteristics.. The MODIS Standard Fire products provide an important contribution to the.. NASA.. Land Use and Land Cover Program.. and the International.. Global Observation of Forest Cover (GOFC).. Project.. News.. World Wind 3D visualization.. Burned Area GeoTIFFS available.. Burned Area Product on WIST.. Send comments to.. MODIS FIRE User Support.. at.. University of Maryland.. Authorized by.. Christopher Justice.. , Fire and Thermal Anomalies Principal Investigator..

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  • Title: Modis Active Fire Products_Index
    Descriptive info: Methodology.. Validation.. Description.. Get Data.. User Manual.. MODIS Active Fire Product.. The MODIS active fire product detects fires in 1km pixels that are burning at the time of overpass under relatively cloud-free conditions using a contextual algorithm, where thresholds are first applied to the observed middle–infrared and thermal infrared brightness temperature and then false detections are rejected by examining the brightness temperature relative to neighboring pixels (Giglio, L.. et al.. 2003)..

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  • Title: Modis Burned area Products_Index
    Descriptive info: Burned areas are characterized by deposits of charcoal and ash, removal of vegetation, and alteration of the vegetation structure (Pereira et al.. 1997, Roy et al.. 1999).. The MODIS algorithm used to map burned areas takes advantage of these spectral, temporal, and structural changes (Roy et al.. 2005a).. It detects the approximate date of burning at 500 m by locating the occurrence of rapid changes in daily surface reflectance  ...   of fires that occurred in previous seasons or years.. 1 year of MCD45A1 burned areas; the day of burning is represented using a rainbow scale and is overlaid on MODIS surface reflectance to provide geographic context.. Click on the image to see a full scale version.. August 2007 fires in Greece, as mapped by the MCD45 product.. Click on the image for a high resolution version.. Back to the top..

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  • Title: Modis Active Fire and Burned area Products Contact Info
    Descriptive info: Contact Information.. Please direct any inquiry to:.. modis-fire@hermes.. geog.. umd.. edu.. Personnel.. Louis Giglio.. David Roy.. South Dakota State University.. Luigi Boschetti.. Ivan Csiszar.. NOAA.. Anja A.. Hoffmann.. University of Munich.. Alexandra Moulden.. intern.. , University of Maryland.. Mike Humber..

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  • Title: Modis Active Fire and Burned area Products_Index
    Descriptive info: Frequently Asked Questions.. Please send your questions to.. Burned Area Product.. I cannot order the MCD45A1 product for June 2001.. Why is it not online?.. The MODIS instrument had a prolonged outage in June 2001.. As a consequence, not enough input data is available for the production of MCD45A1 for that month.. I downloaded some MCD45A1 data in hdf format.. When I open it, I see several layers.. Which one shall I start looking at?.. For most of the users, the relevant information is the location of the burned pixels, and the day of burning.. This data is contained in the first layer (SDS in the MODIS jargon), called 'burndate'.. When I try to open a file in ENVI, I get an error message unsupported MODIS product ?.. You can either open the file as generic HDF with:.. File - Open External Files - Generic Formats -  ...   given in paragraph 4.. 1 in the user guide) and you need to read careful the documentation of the ftp client to understand how to download data.. Would you be able to provide the burn scar data for a specified area dating back as far as possible?.. Currently we only can provide regional subsets (GeoTiff) as described at http://modis-fire.. edu/BA_description.. html.. However following section 6.. 1.. 1 in the user guide you easily can subset your Area of Interest.. Will the HDF files yield different results as the geotiffs?.. Not in the extent of the burned area but as the geotiffs are obtained by mosaicing, resampling and reprojecting several tiles of the original product, the processing time is not available.. Furthermore only two SDSs (layers) are available in geotiff format.. As explained in 3.. 2 useer guide, for each month two files are available, one for each SDS..

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  • Title: Modis Active Fire and Burned area Products Rationale
    Descriptive info: Heritage.. Intent.. Relevance.. Satellites have a role to play in detecting, monitoring and characterizing fires.. There are satellite systems currently in orbit that provide information on different fire characteristics: location and timing of active fires, burned area, areas that are dry and susceptible to wildfire outbreaks, and pyrogenic trace gas and aerosol emissions.. These satellite systems have different capabilities in terms of spatial resolution, sensitivity, spectral bands, and times and frequencies of overpasses, but none of the sensing systems prior to MODIS included fire monitoring in their design.. Combining multiple satellite products that provide synthetic information on different fire characteristics and developing multi-sensor algorithms is needed to optimize the use of the current sensing systems.. Flown on NOAA Polar Orbiting Environmental Satellites, the.. Advanced Very High Resolution Radiometer (AVHRR).. measures electromagnetic radiation (light reflected and heat emitted) from our planet.. The AVHRR was originally intended only as a meteorological satellite system but it does have applications for fire monitoring.. The AVHRR remotely senses cloud cover and sea surface temperature, enabling its visible and infrared detectors to observe trends in vegetation, clouds, shorelines, lakes, snow and ice.. The visible bands can detect smoke plumes from fires as well as burn scars.. The middle-infrared band can detect actual hotspots and active fires.. Its ability to detect fires is greater at night, since the system can confuse active fires with heated ground surfaces, such as beach sand and asphalt.. Active fire mapping on a global scale using a single satellite system was first coordinated by the International Geosphere Biosphere Program (IGBP) using AVHRR data for 1992-93 from international ground stations.. In addition, a small number of countries have developed their own regional AVHRR satellite fire monitoring systems using direct read-out; e.. g.. , Brazil, Russia, and Senegal.. Research groups have provided regional examples of trace gas and particulate emissions from fires for Brazil, Southern Africa, Alaska.. The.. Geostationary Operational Environmental Satellites (GOES).. house a five-channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sample areas of the Earth.. They are stationed in orbits that remain fixed over one spot on the equator, providing continuous coverage of one hemisphere.. GOES satellites acquire images every 15-30 minutes, at up to 1 km resolution in visible light, for the detection of smoke, and 4 km resolution in thermal infrared to directly detect the heat of fires.. Landsat.. series of Earth-observing satellites monitor characteristics and changes on the surface of the Earth at high resolution (up to 15 m per pixel).. The original missions (1970s - early 1980s) used the Multispectral Scanner (MSS) which was only capable of detecting scars.. Current Landsat series satellites use the Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) to provide land surface information.. The seven bands (eight on Landsat 7's ETM+) monitor different types of Earth resources over a wide area (81 North and 81 South Latitude).. The thermal band enables the system to detect hotspots.. Landsat 7 provides impressive high-resolution images but only infrequently, revisiting an area every 14 days.. Total Ozone Mapping Spectrometer (TOMS).. is a measuring device that provides data regarding ozone levels.. Measured in Dobson Units (DU), TOMS produces a complete data set of daily ozone levels around the world.. This instrument is the first to show aerosols (airborne dust and smoke particles) over land.. It also provides the ability to distinguish aerosols that absorb light from aerosols that reflect it.. TOMS makes 35 measurements every 8 seconds, each covering 50-200 kilometers wide on the ground.. Close to 200,000 daily measurements cover almost every spot on the Earth except for areas near the poles.. These data make it possible to observe a variety of Earth events including forest fires, dust storms and biomass burning.. Tropical Rainfall Measuring Mission (TRMM).. satellite carries a sensor similar to the AVHRR, called the Visible and Infrared Scanner (VIRS), which is capable of detecting active fires as well as evidence of burn scars.. It has five bands from visible to thermal infrared (0.. 63 - 12 µm) and provides 2.. 1 km resolution.. The primary purpose of the TRMM instrument suite is to measure rainfall over both land and oceans from 38 degrees South to 38 degrees North latitude.. TRMM is unique in that previous satellites tended to show the tops of clouds whereas TRMM instrumentation allows a look into the cloud itself.. In addition to its other sensors, TRMM carries the Lightning Imaging Sensor (LIS).. The LIS provides information on both cloud to cloud and cloud to ground lightning strikes around the world.. The imager is capable of locating and detecting ninety percent of lightning strikes in the world.. This information can help identify areas that may be particularly susceptible to wildfire outbreaks.. In late 1999, NASA launched the first in a series of new Earth remote sensors that will bring dramatically improved capabilities for global monitoring of fires.. The Earth Observing System's flagship spacecraft -.. Terra.. (formerly named EOS AM-1) - carries a payload of five sensors that, collectively, greatly expand scientists' capacity for near-real-time fire monitoring, while more accurately measuring emission products.. The Terra spacecraft flys in a near-polar orbit, crossing the equator in the morning when cloud cover is at a minimum and its view of the surface is least obstructed.. Subsequently, in 2001, the.. Aqua.. (formerly EOS PM-1) spacecraft was launched into a near-polar orbit crossing the equator in the afternoon, to observe the daily variability of surface features.. Intent of the MODIS Fire and Thermal Anomalies Products.. The intention of the MODIS fire team is to provide global change researchers with global time-series of fire data.. In particular these products are aimed at supporting the modeling of trace gas and particulate emissions.. First order estimations of trace gas and particulate emissions from biomass burning involve multiplying the area burned by the amount of fuel consumed taking into account the emission factors for the gases and particulates (Crutzen and Andreae 1990).. More detailed estimates account for other controlling variables such as wind speed, fuel moisture content and fire intensity.. Reporting of national estimates of anthropogenic trace gas emissions are a requirement of the Framework Convention on  ...   al.. The increasing concentrations of greenhouse gases, produced by biomass burning among other sources, provide one of the clearest manifestations of global change in the atmosphere.. Aerosols emitted during biomass burning may also play a significant role in forcing climate change.. They may influence climate directly by reflecting solar radiation back into space.. Furthermore, aerosols act as cloud condensation nuclei (CCN), and may thus affect climate indirectly by modifying cloud microphysics and sunlight reflectance (Kaufman and Nakajima, 1993; Kaufman and Fraser, 1997).. In general, biomass burning aerosols are considered to produce a cooling effect and together with aerosols emitted from other sources they produce a global-average forcing of equal and opposite sign with that of the greenhouse gas effect.. However, assessing the combined climatic impacts of greenhouse warming and aerosol cooling at the global-scale has been difficult and rather controversial due to the uneven spatial distribution of the two effects.. Several related studies have been reviewed by Kondratyev (1999).. Since fire activity is among the contributors to potential climate forcing factors it is important to improve its characterization and commit to a long-term monitoring of fire patterns and quantification of fire emissions.. Impacts on Ecosystems.. Perturbations in biogeochemical cycling processes may occur in the fire-prone environments and have implications for the sustained productivity of natural ecosystems that are limited in these nutrients.. Nitrogen is readily volatalized during fire and lost if not replenished through nitrogen input mechanisms e.. , nitrogen fixation and atmospheric deposition.. Enhanced biogenic emissions of NO and N2O from soils have been measured following burning, reinforcing thus the role of fire on climate change with inputs to the atmosphere beyond just the direct emissions from fires (Anderson et al.. , 1988; Poth et al.. , 1996; Parsons et al.. , 1996; Levine et al.. , 1996; Harris et al.. Phosphorus and sulfur cycling losses also result from biomass burning and unlike nitrogen these nutrients cannot be fixed by biological processes but are replaced instead through atmospheric input or rock weathering (DeBano, 1990; Barnett, 1989).. Furthermore, because the biogeochemical cyling of important species, such as carbon and nitrogen, are intimately coupled, atmospheric deposition may impact the nutrient cycling of an ecosystem in complex ways.. For example, increased nitrogen deposition may temporarily stimulate carbon dioxide assimilation by plants but over long time scales the imbalances caused for example by acidification, may lead to reduced carbon sequestration in plants and soils (Asner et al.. , 1997).. Besides their effects in the atmosphere and the fire environments, pyrogenic trace gases and aerosols can impact nutrient deposition and the biogeochemical cycling of essential nutrients in far-removed ecosystems located downwind of fires.. Deposition of nitrogenous pollutants into forest ecosystems in North America and Europe has been occurring at enhanced rates over the past 50 years and there is an increasing number of suggestions that it can influence nutrient cycling processes (Aber et al.. 1989, Asner et al.. , 1997; Korontzi et al.. , 2000).. Similar evidence also exists for other regions, such as in southern African savanna ecosystems, where biomass burning is a major source of trace gas and aerosol emissions.. For example, atmospheric dry deposition may contribute by as much as 60% of the annual input of certain important nutrients, especially phosphorus in the form of phosphate in the Okavango Delta ecosystem (Garstang et al.. , 1998).. Fires may also modify ecosystem composition and functioning.. Depending on the fire regimes, plant species are frequently eliminated by burning and the successional pathways following fire are altered within plant communities (Krefting and Ahlgren, 1974; Noble and Slatyer, 1980; Christensen, 1985).. At the same time fire can also have beneficial effects on ecosystem resources.. Positive impacts of fire include the management of vegetation structure and composition, the reduction of potentially flammable fuel loads, the improvement of grazing for livestock and pest control (Frost, and Robertson, 1987).. Studies in Australian savanna landscapes have shown that traditional Aboriginal fire regimes have served to maximize biodiversity by maintaining habitat diversity, savanna patchiness and species diversity (Braithwaite, 1996).. To establish sound fire management programs as part of an integrated ecosystem management strategy, the contrasting effects of fires need to be considered and evaluated and the resulting information need to be incorporated in the analysis of benefits and costs.. As part of developing this management strategy it is important to understand the drivers of land cover and land use change and the causes of fire.. The role of fire in perturbing biogeochemical cycles of carbon, nitrogen, sulfur and phosphorus needs to be understood both directly e.. the effects of fire on soil nutrient cycling where burning takes place, and indirectly e.. the transport and deposition of aerosols and trace gases produced during biomass burning.. The impact of fire in changing biodiversity needs to be understood at the local and landscape scale.. Similarly the impact of fire on modifying ecosystem composition and functioning modifications need to be understood.. Impacts on Hydrological Processes.. Fire can also affect water resources by changing hydrological processes.. Removal of plant canopy during fires reduces evapotranspiration losses but is often translated into increased water runoff.. Furthermore, destruction of vegetative canopy and litter through fire results in intercept losses and increased soil erosion.. Burning can also affect the infiltration properties of soils, resulting commonly in decreased infiltration and increased streamflow discharge.. Furthermore, fires may impact water quality, by causing increases of NO3- and altering concentrations of cations in either soil solution or streamflow (Hibert et al.. , 1974; Tiedemann et al.. , 1979; Sims et al.. , 1981; Campbell et al.. , 1977).. In tropical forests, smoke from biomass burning impacts precipitation patterns.. In a newly published study over Borneo, Indonesia, TRMM data revealed that in smoke-infested region rainfall was inhibited due to the blocking effects of heavy smoke in tropical clouds on the warm rain process of raindrop formation (Rosenfeld, 1999).. In boreal forests fires cause melting of the permafrost layer and an increase in soil moisture in the active layer for a few years after the removal of the vegetation allows more solar radiation to reach the ground and decreased the albedo of the ground layer (Kasischke et al.. , 1992; French et al..

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  • Title: Modis Active Fire and Burned area Products Publications
    Descriptive info: 1.. Essential publications describing the MODIS fire products.. 1 Active Fire Product.. 2 Burned Area Product.. 2.. ).. Essential publications describing the MODIS fire products accuracy.. 3).. Representative fire-related papers by members of the MODIS fire team.. ) Essential publications describing the MODIS fire products.. Giglio, L.. , Csiszar, I.. , Justice, C.. O.. 2006.. Global distribution and seasonality of active fires as observed with the Terra and Aqua MODIS sensors.. Journal of Geophysical Research - Biogeosciences.. , Vol 111, G02016, doi:10.. 1029/2005JG000142.. , Descloitres, J.. , Kaufman, Y.. 2003.. An enhanced contextual fire detection algorithm for MODIS.. Remote Sensing of Environment.. , 87:273-282.. D.. P.. Roy, L.. Boschetti, C.. Justice, J.. Ju, The Collection 5 MODIS Burned Area Product - Global Evaluation by Comparison with the MODIS Active Fire Product, 2008.. Remote Sensing of Environment,.. 112, 3690-3707.. Roy, D.. , Jin, Y.. , Lewis, P.. E.. 2005.. Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data.. 97:137-162.. Essential publications relative to the MODIS fire products accuracy.. Schroeder, W.. , Prins, E.. , Giglio, L.. , Schimdt, C.. , Morisette, J.. , Morton, D.. 2008.. Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data.. Remote Sensing of Environment 112 (2008) 2711–2726.. Morisette, J.. T.. , Setzer, A.. , Schroeder, W.. Validation of MODIS active fire detection products derived from two algorithms.. Earth Interactions.. ,.. 9:1-23.. and Boschetti, L.. , 2009.. Southern Africa Validation of the MODIS, L3JRC and GLOBCARBON Burned Area Products,.. IEEE Transactions on Geoscience and Remote Sensing.. , 47, 4, 1032 – 1044, doi:10.. 1109/TGRS.. 2008.. 2009000.. (.. PDF file, 1.. 4MB.. ).. 3.. 2009.. Archibald, S.. , Roy, D.. , Van Wilgen, B.. W.. , Scholes, R.. J.. What Limits Fire?: An examination of drivers of burnt area in sub-equatorial Africa,.. Global Change Biology.. special issue on Fire Ecology and Climate Change, 15, 613–630, doi: 10.. 1111/j.. 1365-2486.. 01754.. x.. Boschetti L.. and Roy, D.. Strategies for the fusion of satellite fire radiative power with burned area data for fire radiative energy derivation,.. Journal of Geophysical Research Atmospheres.. , 114, D20302, doi:10.. 1029/2008JD011645.. PDF file, 457KB.. , Loboda, T.. , Quayle, B.. An active-fire based burned area mapping algorithm for the MODIS sensor,.. , 113: 408-420.. PDF file 4.. 8MB.. Boschetti, L.. , 2008.. Defining a fire year for reporting and analysis of global fire inter-annual variability”, JGR-biogeosciences, vol.. 113, G03020, doi:10.. 1029/2008JG000686, 2008.. Boschetti, L.. Barbosa, P.. , Boca, R.. and Justice, C.. , A MODIS assessment of the summer 2007 extent burned in Greece, 2008,.. International Journal of Remote Sensing.. , 29:2433-2436.. Using NASA’s World Wind Virtual Globe for Interactive Visualization of the Global MODIS Burned Area Product,.. , 29(11)3067-3072.. , Restás, Á.. T.. , and Justice, C.. O.. , 2008, Active fire detection and characterization with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER).. Remote Sensing of Environment, 112, 3055-3063.. 2007.. , 2007, Characterization of the tropical diurnal fire cycle using VIRS and MODIS observations.. Remote Sensing of Environment, 108, 407-421.. Loboda, T.. and Csiszar, I.. Assessing the Risk of Ignition in the Russian Far East within a Modeling Framework of Fire Threat.. Ecological Applications,.. 17 (3): 791-805.. Reconstruction of Fire Spread within Wildland Fire Events in Northern Eurasia from the MODIS Active Fire Product.. Global and Planetary Change,.. 56 (3-4): 258-273.. P and Justice, C.. , 2007, “A burning question – the changing role of fire on Earth” in.. Our Changing Planet: A View From Space.. , Cambridge University Press, September 30th 2007, Editors Michael D.. King, Claire L.. Parkinson, Kim C.. Partington, Robin G.. Williams, 266-273.. (See.. cambridge.. org/9780521828703.. Also reprinted in Japanese, Maruzen Co.. , LTD, 2009.. Trigg, S.. N.. A focus group study of factors that promote and constrain the use of satellite derived fire products by resource managers in southern Africa.. Journal of Environmental Management.. , 82:95-110.. Csiszar, I.. , J.. Morisette and  ...   surface in northern Australia.. Geophys.. Res.. Lett.. 32.. , L13401, doi:10.. 1029/2005GL022822.. Seasonal patterns in biomass burning emissions from southern African vegetation fires for the year 2000.. Global Change Biology.. , 11:1680-1700.. , Justice, C.. Validation of the MODIS active fire product over Southern Africa with ASTER data.. International Journal of Remote Sensing.. , 26:4239–4264.. Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data.. , 26:4197-4218.. , Gumbo, K.. , Makungwa, S.. , Dunham, K.. , Du Toit, R.. , Mhwandagara, K.. , Zacarias, A.. , Tacheba, B.. , Pereira, J.. , Mushove, P.. , Vannan, S.. , Davies, D.. The Southern Africa Fire Network (SAFNet) regional burned area product validation protocol.. , 26:4265-4292.. Characterizing Vegetation Fire Dynamics in Brazil Through Multi-Satellite Data: Common Trends and Practical Issues.. ,.. vol.. 9, paper no.. 13.. , Flasse, S.. An in situ study of the effects of surface anisotropy on the remote sensing of burned savannah.. , 26:4869-4876.. 2004.. Chuvieco, E.. Forest Fire Prevention and Assessment.. Special Edition,.. , 92(3):295-423.. , Brown, F.. , Cochrane, M.. A.. , Conard, S.. G.. , Elvidge, C.. , Flannigan, M.. D.. , Kasischke, E.. , McCrae, D.. , McQuire, A.. , Rupp, T.. P.. , Stocks, B.. , Verbyla, D.. L.. Land Use and Fires.. In: Gutman, G.. ; Janetos, A.. C.. ; Justice, C.. Eds.. , Land Change Science: Observing, Monitoring and Understanding Trajectories of Change on the Earth's Surface,.. Kluwer Press.. , Kendall, J.. Commentary on improving the seasonal cycle and interannual variations of biomass burning aerosol source by Generoso et al.. Atmospheric Chemistry and Physics.. , 4:585-587.. , Justice C.. , Ward D.. Modeling and sensitivity analysis of fire emissions in southern Africa during SAFARI 2000.. , 92(2):255-275.. Effect of wavelength selection on wildfire characterization using the Dozier retrieval.. , 24:3515-3520.. , and Mack, R.. , 2003, A multi-year active fire data set for the tropics derived from the TRMM VIRS.. International Journal of Remote Sensing, 24, 4505-4525.. Ichoku, C.. , Li, Z.. , Fraser, R.. , Jin, J.. -Z.. , Park, W.. M.. Comparative analysis of daytime fire detection algorithms using AVHRR data for the 1995 fire season in Canada: Perspective for MODIS.. , 24:1669-1690.. Kaufman, Y.. , Ichoku, C.. , Chu, D.. , Hao, W.. , Li, R.. -R.. Fires and smoke observed from the Earth Observing System MODIS instrument: products, validation, and operational use.. , 24:1765-1781.. 2002.. Gumbricht, T.. , McCarthy, T.. S, McCarthy, J.. , Roy D.. , Frost.. , Wessels.. K.. Remote sensing to detect sub-surface peat fires and peat fire scars in the Okavango Delta, Botswana.. South African Journal of Science.. , 98, 351-360.. , Owens, J.. , Alleaume, S.. , Petitcolin, F.. The MODIS fire products.. , 83:244-262.. Roy D.. , Lewis P.. Burned area mapping using multi-temporal moderate spatial resolution data - a bi-directional reflectance model-based expectation approach.. , 83:263-286.. 2001.. Application of the Dozier retrieval to wildfire characterization: A sensitivity analysis.. , 77:34-49.. 2000.. , and Tucker, C.. , 2000, Remote sensing of fires with the TRMM VIRS.. International Journal of Remote Sensing, 21, 203-207.. The impact of misregistration upon composited wide field of view satellite data and implications for change detection.. , 38:2017-2032.. Swap, R.. , Annegarn, H.. , Suttles, J.. , Haywood, J.. , Helmlinger, M.. , Hely, C.. , Hobbs, P.. V.. , Holben, B.. N.. , Ji, J.. , King, M.. , Maenhaut, W.. , Otter, L.. , Pak, B.. , Piketh, S.. , Platnick, S.. , Privette, J.. , Thompson, A.. , Ward, D.. , Yokelson, R.. The Southern African Regional Science Initiative (SAFARI 2000): overview of the dry-season field campaign.. , 98, 125-130.. 1999.. Evaluation of global fire detection algorithms using simulated AVHRR infrared data.. , 20:1947-1985.. A multitemporal active-fire based burn scar detection algorithm.. , 20:1031-1038.. 1998.. , Flynn, L.. , Menzel, W.. , and Setzer, A.. Potential global fire monitoring from EOS-MODIS.. Journal of Geophysical Research.. , 103:32,215-32,238..

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  • Title: Modis Active Fire and Burned area Product Partners
    Descriptive info: University of Maryland, Geography Dept.. South Dakota State University, GIS Centre of Excellence.. NOAA STAR.. SAFNet.. -.. Southern African Fire Network.. CNR IREA, Italy.. Bushfires NT, Australia.. EFFIS - European Forest Fire Information System.. INPE CPTEC, Brazil.. GFMC- Global Fire Monitoring Center, University of Freiburg, Germany..

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  • Title: Modis Active Fire and Burned area Products Links
    Descriptive info: FIRMS: Fire Information for Resource Management System.. Active Fire and Burned Area distribution via Web GIS.. WIST.. MODIS product search and distribution system.. USGS LP DAAC.. Information and tools for MODIS and ASTER data.. MODIS site at NASA GSFC.. The Moderate Resolution Imaging Spectroradiometer website that houses all central information on the.. MODIS.. project.. GOFC Fire.. Information on intenational fire projects and initiatives.. GFMC.. Global Fire Monitoring Center.. GFMC and UNISDR Global Wildland Fire Network..

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  • Title: Modis Active Fire and Burned area Products News
    Descriptive info: The global, monthly mosaics of MODIS burned areas and active fire products are available for visualisation in the 3-dimensional.. World Wind.. virtual globe.. Access the World Wind client from.. here.. Burned Area available as GEOTIFF.. The MCD45A1 Global Burned Area Product is now available as user friendly GeoTIFF subsets.. Find.. all the details on how to download these data.. Burned Area available from NASA WIST.. The MCD45A1 Global Burned Area Product is now available for download from.. together will the MODIS land product suite..

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  • Title: Modis Active Fire Products Methodology
    Descriptive info: Fire detection is performed using a contextual algorithm (Giglio et al.. , 2003) that exploits the strong emission of mid-infrared radiation from fires (Dozier 1981, Matson and Dozier 1981).. The algorithm examines each pixel of the MODIS swath, and ultimately assigns to each one of the following classes: missing data, cloud, water, non-fire, fire, or unknown.. Pixels lacking valid data are immediately classified as missing data and excluded from further consideration.. Cloud and water pixels are identified using cloud and water masks, and are assigned the classes cloud and water, respectively.. Processing continues on the remaining clear land pixels.. A preliminary classification is used to eliminate obvious non-fire pixels.. For those potential fire pixels that remain, an attempt is made to use the neighboring pixels to estimate the radiometric signal of the potential  ...   relative fire detection.. These look for the characteristic signature of an active fire in which both the 4 micron brightness temperature and the 4 and 11 micron brightness temperature difference depart substantially from that of the non-fire background.. Relative thresholds are adjusted based on the natural variability of the background.. Additional specialized tests are used to eliminate false detections caused by sun glint, desert boundaries, and errors in the water mask.. Candidate fire pixels that are not rejected in the course of appyling these tests are assigned a class of fire.. Pixels for which the background characterization could not be performed, i.. e.. those having an insufficient number of valid pixels, are assigned a class of unknown.. For further details, please refer to:.. and to the:.. MODIS Fire Products Algorithm Theoretical Background Document (pdf)..

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