FIRMS Frequently Asked Questions

Update: False fires reported due to super heated smoke plume in nighttime detections (3 August 2018)

Support and Mailing Lists

Support and Mailing Lists

Who do I contact for support with LANCE data?

For questions about LANCE or user registration, contact Earthdata Support.

How do I stay informed about updates, announcements, data issues and scheduled maintenance?

Subscribe to receive notifications from LANCE and FIRMS about updates, announcements, data issues and scheduled maintenance.

  • LANCE-MODIS mailing list (For updates regarding NRT data from MODIS on Terra and Aqua; this will keep you up to date with data outages that may impact the MODIS active fire products)
  • LANCE FIRMS mailing list (For general updates on the Fire Information for Resource Management System)
  • LANCE Users mailing list (For general updates about LANCE).

    Please note, if you wish to receive information about data issues, use LANCE-MODIS list above.

Getting started

Where can I find the MODIS and VIIRS Active Fire User guides?

For the most current information, use the Active Fire User Guides:

What are the key differences between NRT and Standard quality fire data?

Standard data products are an internally consistent, well-calibrated record of the Earth’s geophysical properties to support science. Near real-time (NRT) fire products are generated within approximately 3 hours of satellite observation to meet the needs of the applications community. To facilitate this a number of changes have been made to the standard processing approach: data downlinked from the satellite are sorted, processed and delivered in an expedited manner (as Session-based Production Data Sets).

One key difference between the MODIS/Aqua NRT and Standard (Science Quality) Fire Products is the accuracy of the Fire locations (positions or geolocation). Unlike MODIS/Terra and VIIRS/Suomi-NPP, the position of the Aqua satellite is not as well known when the NRT Fire Product is produced. Most of the time, the additional error introduced in the reported Fire location is small (< 100 m), but in some situations this position error may be large (several kilometers). In particular, the larger errors may occur after spacecraft maneuvers and during space weather events. The NRT Fire location accuracy is also degraded for MODIS/Terra and VIIRS/Suomi-NPP after spacecraft maneuvers, but the time period is typically shorter (< 2 hours for MODIS/Terra and VIIRS/Suomi-NPP vs. up to 12 hours for MODIS/Aqua). When the Standard Fire product are later processed, the best available satellite position data is used and the quality assurance team removes data degraded by spacecraft maneuvers. In addition, the Standard Fire products are typically later reprocessed and the Fire positions may be even more accurate in the reprocessed products.

Routines used to derive Level 2 products, such as fire do not make use of ancillary data and so their codes are identical to the ones used in standard operations. However, please note:

  • the data distributed via the FIRMS download tool does not contain the static sources / inferred hotspot "type" (described in page 36 of the MODIS Active Fire User Guide)
  • the day/night column (also described on page 36 of the MODIS Active Fire User Guide) is currently calculated differently. The standard processing algorithm uses the solar zenith angle (SZA) to threshold the day/night value; if the SZA exceeds 85 degrees it is assigned a night value. SZA values less than 85 degrees are assigned a day time value. For the NRT algorithm the day/night flag is assigned by ascending (day) vs descending (night) overpass. It is expected that the NRT assignment of the day/night flag will be amended to be consistent with the standard processing.

What are the different sources of fire data in FIRMS?

  • MODIS NRT C6 (MCD14DL) are the NRT MODIS Collection 6 data processed by LANCE FIRMS.
  • MCD14ML provided by FIRMS are a subset of the standard quality data processed by the MODIS Fire Team Science Computing Facility at the University of Maryland. These are available with a 2-3 month lag through the Archive Download Tool and can be viewed and queried in Fire Map.
  • VIIRS 375 m (VNP14IMGTDL_NRT) is the NRT VIIRS active fire data processed by LANCE FIRMS.

How often are the active fire data acquired?

The MODIS instrument on board the Terra and Aqua EOS satellites acquire data continuously providing global coverage every 1-2 days. Terra (EOS AM) passes over the equator at approximately 10:30 am and 10:30 pm each day, Aqua (EOS PM) satellite passes over the equator at approximately 1:30 pm and 1:30 am. There are at least 4 daily MODIS observations for almost every area on the equator, with the number of overpasses increasing (due to overlapping orbits) closer to the poles.

The VIIRS instrument on board the Suomi-NPP satellite also acquires data continuously. The 3,040 km VIIRS swath enables ≈15% image overlap between consecutive orbits at the equator, thereby providing full global coverage every 12 hours. Suomi-NPP has a nominal (equator-crossing) overpass times at 1:30pm and 1:30am. Thanks to its polar orbit, mid-latitudes will experience 3-4 looks a day.

Daily Terra, Aqua and Suomi-NPP global and regional orbit tracks are provided by the Space Science and Engineering Center (SSEC) at the University of Wisconsin-Madison.

For what dates are the fire data available?

The MODIS data is available from from November 2000 (for Terra) and from July 2002 (for Aqua) to the present. VIIRS 375 m data is currently available from 20 January 2012 to the present.

How are fires detected by satellite?

Fire detection is performed using a contextual algorithm that exploits the strong emission of mid-infrared radiation from fires. The MODIS 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. More information can be found in: Giglio, L., Descloitres, J., Justice, C. O. and Kaufman, Y. 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment 87:273-282. doi: 10.1016/S0034-4257(03)00184-6

In keeping with MODIS, the VIIRS algorithm is a hybrid thresholding and contextual algorithm using radiometric signals from 4 micron and 11 micron bands (M13 and M15, respectively) and additional bands and a suite of tests for internal cloud mask and rejection of false alarms. The product consists of simple file containing primarily latitude & longitude data for those pixels classified as thermal anomalies. More information can be found in: Schroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014). The New VIIRS 375m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment, 143, 85-96. doi:10.1016/j.rse.2013.12.008 PDF

Why was a particular fire not detected?

There are several reasons why MODIS or VIIRS may not have detected a certain fire: the fire may have started and ended between satellite overpasses; cloud cover, heavy smoke, or tree canopy may completely obscure a fire; occasionally the instruments are inoperable and can observe nothing during these times (see data outages and known issues for MODIS and VIIRS); or the fire may have been too small or too cool to be detected. The VIIRS 375 m active fire product provides a greater response over fires of relatively small areas due to its higher spatial resolution and it has improved night time performance. For more information on the minimum size of fire that can be detected using MODIS data see "What is the smallest fire size that can be detected?" and "How do I know if a fire detection was missed due to cloud or missing data?"

What are the attributes / fields of the active fire data?

I only see fire data available for the last 7 days on your website. How can I get older data?

Data for the last 2 months can be downloaded as text (TXT) files and older data can be obtained through the MODIS Fire Archive Download Tool or from MODIS directly from the MODIS Fire Team Science Computing Facility at the University of Maryland. The MODIS data is available from from November 2000 (for Terra) and from July 2002 (for Aqua) to the present. VIIRS 375 m data is currently available from 20 January 2012 to the present.

What projection are the shapefiles in?

The shapefiles are in the Geographic WGS84 projection.

What is the detection confidence?

The confidence value was added to help users gauge the quality of individual fire pixels is included in the Level 2 fire product. The confidence field should be used with caution; it is likely that it will vary in meaning in different parts of the world. Nevertheless some of our end users have found such a field to be useful in excluding false positive occurrences of fire. They are different for MODIS and VIIRS.
For MODIS, the confidence value ranges from 0% and 100% and can be used to assign one of the three fire classes (low-confidence fire, nominal-confidence fire, or high-confidence fire) to all fire pixels within the fire mask. In some applications errors of commission (or false alarms) are particularly undesirable, and for these applications one might be willing to trade a lower detection rate to gain a lower false alarm rate. Conversely, for other applications missing any fire might be especially undesirable, and one might then be willing to tolerate a higher false alarm rate to ensure that fewer true fires are missed. Users requiring fewer false alarms may wish to retain only nominal- and high-confidence fire pixels, and treat low-confidence fire pixels as clear, non-fire, land pixels. Users requiring maximum fire detectability who are able to tolerate a higher incidence of false alarms should consider all three classes of fire pixels.

For VIIRS, the confidence values are set to low, nominal and high; they are based on a collection of intermediate algorithm quantities used in the detection process and are intended to help users gauge the quality of individual hotspot/fire pixels. Confidence values are set to low, nominal and high. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Nominal confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.

The confidence value is application specific. This isn't very helpful, I know, but unfortunately there's no way to establish an optimal cutoff a priori. Users have to adopt an empirical approach -- what threshold works best for what I'm trying to do? Unfortunately the confidence values in the product do not directly correspond to the statistical confidence levels in reference to Type I and Type II errors.

Are there any restrictions on using data or imagery from FIRMS?

NASA supports an open data policy and we encourage the appropriate use of data and graphics from FIRMS; when doing so, please take a moment to make sure you get the correct citation - see the Citation Policy. Please also read the LANCE Disclaimer and the About FIRMS web page.

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What caveats should be considered when using active fire data from FIRMS?

Are there ever false fire detections?

To avoid the occurrence of false alarms over bright/reflective surfaces (e.g., metallic factory rooftops), the VIIRS and MODIS algorithms uses slightly more conservative tests to avoid the effects of sun glint over those areas.

Please note: A few VIIRS active fire pixels were located outside the reported perimeter of a large wildfire. The following answer is from the User Guide

Q. Was it an error? What data source should I trust?

A: In those circumstances users may need to look for additional clues when there is indication of potential commission error surrounding large wildfires. There have been a few instances involving large and intense wildfires over which tall plumes carrying large volumes of hot material into the air were formed when the VNP14IMG product detected the surface fire along with part of the plume. Those occurrences typically share the following set of conditions:

(i) Nighttime detection. This is the period during which the VNP14IMG product is particularly responsive to heat sources thereby favoring plume detection;

(ii) Very large wildfires undergoing explosive growth and accompanied by rapid/vertically elongated plume development. Enough hot material must entrain the plume creating a distinguishable thermal signal (i.e., one that significantly exceeds the fire-free surface background);

(iii) High scan angle. This is what will ultimately produce the detections extending beyond the actual fire perimeter.

The parallax effect causes the tall/superheated plume detection pixel(s) to be displaced laterally when projected onto the surface. Displaced pixels will be located on the fire perimeter’s side further away from the image center and closer to the swath’s edge. If those conditions apply, look for alternative observations (previous/next overpass) acquired closer to nadir and try and prioritize the use of the fire detection data accordingly. Unfortunately, the VNP14IMG isn’t currently able to distinguish nighttime surface fire pixels from the isolated plume detections due to strong similarities between their radiometric signatures

Related content:

How do I know if a fire detection was missed due to cloud or missing data?

An indication of cloud cover or missing data can be obtained by viewing the co-incident MODIS or VIIRS imagery in FIRMS Fire Map or Worldview. To take cloud and missing data in to account, it may be more appropriate to use one of the 1km Level 3 or CMG fire products (see the discussion in the MODIS Fire User Guide).

How appropriate are the hotspot/fire locations for my research?

The MODIS and VIIRS fire locations are good for determining the location of active fires, providing information on the spatial and temporal distribution of fires and comparing data between years. The active fire pixel locations may not always be the most appropriate source of fire related information; the data do not provide any information on cloud cover or missing data. Depending on the analysis you are performing, it is sometimes possible to derive misleading or even incorrect results by ignoring the other types of pixels. In some cases it is more appropriate to use one of the Level 3 or CMG fire products. For more discussion on this, see FAQ "What is the Climate Modelling Grid (CMD) fire product? and "What is the difference between NRT and Standard quality fire data?"

What is the Climate Modelling Grid (CMG) fire product?

The CMG fire products are gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution for time periods of one calendar month (MOD14CMH/MYD14CMH) and eight days (MOD14C8H/MYD14C8H). Higher resolution 0.25 degree CMG fire products will eventually be produced as well. More information can be found in the MODIS Collection 6 Active Fire Product User's Guide.

Can active fires be detected below the forest canopy?

The likelihood of detecting a fire beneath the tree canopy is unknown, but likely to be very low. Understory fires are typically small, and with the tree canopy obstructing the view of the fire, detection will be very unlikely.

Are all active fire hotspots vegetation fires?

No, an active fire represents the center of a pixel flagged as containing one or more actively burning hotspots /fires. In most cases fires are vegetation fires, but sometimes it is a volcanic eruption or the flare from a gas well. There is no way of knowing which type of thermal anomaly is detected based on the MODIS or VIIRS data alone.

Can I estimate burned area from active fire data?

It is not recommended to use active fire locations to estimate burned area due to spatial and temporal sampling issues. Determining this to an acceptable degree of accuracy is generally not possible due to nontrivial spatial and temporal sampling issues. For some applications, however, acceptable accuracy can be achieved, although the effective area burned per fire pixel is not simply a constant, but rather varies with respect to several different vegetation and fire-related variables. See Giglio et al. (2006) for more information.
See "Where can I get the MODIS burned area product?"

Can you use the active fire data for detecting volcanoes or volcanic erruptions?

The algorithm routinely detects active volcanoes but the active fire product has not been validated against independent data for its ability to detect volcanoes. There is a separate near-real time MODIS product (MODVOLC) specifically for volcanoes.

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Questions about VIIRS active fire data

If you wish to view the VIIRS reflectance imagery that corresponds to the active fire detections, you can display this in FIRMS Fire Map or Worldview

What is the VIIRS 375 m Active Fire Product?

The VIIRS 375 m (VNP14IMGTDL_NRT) active fire product is the latest product to be added to FIRMS. It provides data from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the joint NASA/NOAA Suomi-National Polar-orbiting Partnership (Suomi-NPP) satellite. The 375 m data complements MODIS fire detections; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375 m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity.

What is the temporal frequency of the VIIRS 375 m fire data?

The 3,040 km VIIRS swath enables ≈15% image overlap between consecutive orbits at the equator, thereby providing full global coverage every 12 hours. The nominal (equator-crossing) overpass times are 1:30pm and 1:30am. Thanks to its polar orbit, mid-latitudes will experience 3-4 looks a day.

What is the spatial resolution of the data?

The 375 m data describe the nominal resolution after native data are spatially aggregated (See figure below).

Spatial resolution of VIIRS imagery data as a function of scan angle. The three distinct regions represent unique data aggregation zones extending from nadir to the edge of swath.
Spatial resolution of VIIRS imagery data as a function of scan angle. The three distinct regions represent unique data aggregation zones extending from nadir to the edge of swath.

The aggregation scheme changes across three distinct image regions. In the first region (nadir to 31.59° scan angle), three native pixels are aggregated in the along scan (cross-track) direction to form one data sample in the Level 1 image. In the second region (31.59° to 44.68° scan angle), two native pixels are aggregated to form one data sample. Finally in the third and last region (44.68° to 56.06° - edge of swath) one native pixel will result in one data sample. All five 375 m channels are aggregated onboard the spacecraft before the data are transmitted to the ground stations, whereas a subset of the VIIRS 750 m data (dual-gain channels only) are aggregated on the ground.

What is the main difference between the VIIRS 375 m and 750 m active fire data?

The two data products use similar methodologies to detect active fire pixels although differences in the spectral characteristics of the VIIRS channels used in each case led to unique algorithms. Because of its improved spatial resolution, the 375 m algorithm will tend to detect more fire pixels compared to the 750 m data set. That difference is particularly pronounced during the nighttime part of the orbit when the occurrence of smaller/cooler fires will favor the 375 m product.

Will the VIIRS 375 m fire detection algorithm always outperform the 750 m one?

Generally speaking, the higher resolution product will achieve higher probability of fire detection in both day and nighttime scenes. However, areas subject to strong solar reflectance associated with sun glint could see a few 750 m fire pixels without a corresponding 375 m fire detection. This is attributed to the relatively shorter wavelength of the 375 m mid-infrared channel used in the fire algorithm, which will experience greater influence of the solar component. In order to minimize the associated consequences, namely the occurrence of false alarms over bright/reflective surfaces (e.g., metallic factory rooftops), the 375 m algorithm uses slightly more conservative tests to avoid the effects of sun glint over those areas.

Are those few isolated fire pixels in the middle of the South Atlantic Ocean real?

Those occurrences are typically associated with spurious fire detections due to the South Atlantic Magnetic Anomaly. The 375 m active fire algorithm contains a specific filter to flag those occurrences as low confidence detections. However, in some cases (average 2-3 pixels every night) the spurious signal generated in the input Level 1 data is confused for a regular fire pixel and therefore assigned a nominal confidence flag. Note that verified true positives can also be found over South Atlantic Ocean waters along the southeast coast of Brazil and the west coast of Africa where oil rigs normally operate.

Are the VIIRS 375 m (and 750 m) active fire data science-ready?

The VIIRS active fire data have been extensively tested since routine production of the mission’s data record started in 19 January 2012. Numerous bad scan episodes (i.e., pixel clusters containing spurious radiances extending across the swath) were found in the Level 1 input data during the initial 18-24 months of the time series [Csiszar et al., 2014]. Those anomalies were gradually addressed by the VIIRS science team and their occurrence have dropped to virtually zero with the implementation of revised Level 1 data processing packages in 2015. Initial assessment of both VIIRS 375 m and 750 m was implemented over a few experimental sites indicating consistent fire detection and characterization performance. Additional data comparison analyses were implemented using near coincident Aqua/MODIS and TET-1 (German Aerospace Center) active fire data, which again showed consistent performance of the VIIRS active fire products across different observation conditions. Consequently, we consider the current data of good enough quality for use in fire management applications and scientific studies. However, users must be aware of the data quality limitations involving the archived data. NASA will be spearheading future data reprocessing efforts in order to generate a consistent time series for the VIIRS Level 1 and 2 data.

Is the VIIRS 375 m product still being refined?

Absolutely. The current suite represents the second release of the VNP14IMG and VNP14 active fire algorithms; data imperfections can – and likely will – occur. As with other satellite data products, the VIIRS active fire algorithm development undergoes routine quality control during which data issues such as omission errors, false alarms and other anomalies are investigated and addressed. New versions of the products will be released once algorithm revisions are implemented and tested. Users are encouraged to report back to the science team when encountering potential data discrepancies.

Where do I go for more information?

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Questions about MODIS Active Fire Data

Please refer to the Near Real-Time Data FAQ section for more information about MODIS.

If you wish to view the MODIS reflectance imagery that corresponds to the active fire detections, please go to Worldview

What does a MODIS active fire detection mean on the ground?

The satellites take a ‘snapshot’ of events as it passes over the earth. Each hotspot/active fire detection represents the center of a 1km (approx.) pixel flagged as containing one or more fires, or other thermal anomalies (such as volcanoes). The “location” is the center point of the pixel (not necessarily the coordinates of the actual fire). The actual pixel size varies with the scan and track (see: What does scan and track mean?). The fire is often less than 1km in size (see: What size fires can be detected?). We are not able to determine the exact fire size, what we do know is that at least one fire is located within that 1km pixel. Sometimes you will see several active fires in a line. This generally represents a fire front.

Example of what a MODIS fire detection means on the ground

Are there any missing MODIS fire data?

Terra was launched 18 December 1999 and Aqua was launched 4 May 2002. High quality active fire observations are available from the Terra satellite starting November 2000 and from the Aqua satellite starting 4 July 2002 onwards.
In the fire data archive, there are several days where data was not collected and days with lower than usual fire counts due to reasons such as sensor outage. These include, but are not limited to: 15 April 2001, 15 June – 3 July 2001 and 19 – 28 March 2002.

What does scan and track mean?

The scan value represents the spatial-resolution in the East-West direction of the scan and the track value represents the North-South spatial resolution of the scan.
It should be noted that the pixel size is not always 1km across the scan track. The pixels at the “Eastern” and the “Western” edges of the scan are bigger than 1km. It is 1km only along the nadir (exact vertical from the satellite). Thus, the values shown for scan and track represent the actual spatial resolution of the scanned pixel.

What is the brightness temperature?

The brightness temperature of a fire pixel is measured (in Kelvin) using the MODIS channels 21/22 and channel 31. Brightness temperature is actually a measure of the photons at a particular wavelength received by the spacecraft, but presented in units of temperature.

What are MODIS collections?

Reprocessing of the entire MODIS data archive is periodically performed to incorporate better calibration, algorithm refinements, and improved upstream products into all MODIS products. The updated MODIS data archive resulting from each reprocessing is referred to as a collection. Later collections supersede all earlier collections. For Terra MODIS, Collection 1 consists of the first products generated following launch. Terra MODIS data were first reprocessed for the first time in June 2001 to produce Collection 3. Note that this first reprocessing was numbered Collection 3, rather than Collection 2, as one would expect. Collection 3 was also the first produced for the Aqua MODIS products. Collection 4 reprocessing was initiated in December 2002 for Terra MODIS, and somewhat later for the Aqua MODIS. Collection 5 began reprocessing in early 2007. Improvements in Collection 5 included adding the Fire Radiative Power value to the fire detections and refining the detection confidence to more accurately identify questionable active fire pixels. Collection 6 is the latest collection and uses the most up-to-date algorithms. In terms of fire detections, the key differences between Collection 5 and Collection 6 are that: Collection 6 extends processing to oceans and other large bodies, including detection of off-shore gas flaring; there is also a reduction in false alarms in the Amazon caused by small forest clearings and there will be an improved cloud mask.

See What's new in Collection 6?

Where can I get the MODIS burned area product?

MODIS Active Fire & Burned Area Products web site and the MODIS Burned Area User Guide (Updated May 2013) and the MODIS Collection 6 Active Fire Product User's Guide.

What size fires can be detected?

In any given scene the minimum detectable fire size is a function of many different variables (scan angle, biome, sun position, land surface temperature, cloud cover, amount of smoke and wind direction, etc.), so the precise value will vary slightly with these conditions. MODIS routinely detects both flaming and smoldering fires 1000 m2 in size. Under very good observing conditions (e.g. near nadir, little or no smoke, relatively homogeneous land surface, etc.) flaming fires one tenth this size can be detected. Under pristine (and extremely rare) observing conditions even smaller flaming fires 50 m2 can be detected. It is not recommended to estimate burned area from the active fire data, see: Can I estimate burned area using the active fire data?.

Unlike most contextual fire detection algorithms designed for satellite sensors that were never intended for fire monitoring (e.g. AVHRR, VIRS, ATSR), there is no upper limit to the largest and/or hottest fire that can be detected with MODIS.

Example of the day and night relationship of fire size and fire temperature

The diagram shows the day and night relationship of fire size and fire temperature, in different biomes, to the probability of being detected by MODIS (Giglio et al. (2003)).

What validation of the MODIS active fire products has been performed?

Validation of the Terra MODIS Fire Product has primarily been performed using coincident observations from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER); see the MODIS Land Team Validation page, and publications by Csiszar et al. (2006) and two publications from Morisette et al. (2005) for details. A very brief discussion of the general validation procedure, with some preliminary results, can be found in the Justice et al. (2002) publication.

Where can I get more information on the MODIS Fire Products?

For more information on the active fire product and other MODIS fire products, please refer to the MODIS Active Fire Burned Area Products web site and the MODIS Burned Area User Guide (Updated May 2013) and the MODIS Collection 6 Active Fire Product User's Guide.

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FIRMS Fire Map

Can I download the fire data from the FIRMS Fire Map?

Active fire data are not currently available for download via Fire Map. However, active fire locations are available for download for the last 24 hours, last 48 hours and last 7 days on the Active Fire Data page. Older data can be obtained through the Archive Download Tool

What are the different sources of fire data in Fire Map?

See What are the different sources of data in FIRMS?

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Email Alerts

Can you notify me when a fire occurs in my area of interest?

We have developed a global fire email alert system to notify users when a fire occurs in, or near, a specified area of interest, country or protected area. You can subscribe to receive near-real time, daily or weekly email alerts in English, Spanish or French.

To subscribe, or learn more about the email based alert system, please see the FIRMS Email Alerts page.

Do you provide mobile/cell phone text messages?

No, we do not currently provide SMS text messages. In the past, we helped develop such a service in collaboration with ESKOM and CSIR Meraka in South Africa for the protection of power lines in remote areas from wildfires informing operators in the field about fire events in near-real time. For more information see: Davies, D. K., H. F. Vosloo, et al. (2008). Near real-time fire alert system in South Africa: from desktop to mobile service doi:10.1145/1394445.1394479 Proceedings of the 7th ACM conference on Designing interactive systems Cape Town, South Africa ACM: 315-322

What are the near-real time email alerts?

The fire points are sent out in an email as soon as they are processed by LANCE. Alerts are sent only if a fire / hotspot was detected. The number of alerts varies according to geographic location: there are more frequent satellite overpasses at high latitudes. Near real-time alerts are usually sent within 3 hours of satellite overpass for fires detected using MODIS, onboard Aqua and Terra, and within 4 hours for fires detected using data from VIIRS. Near real-time alerts are subscribed to and managed by the user just the same way as the daily and weekly detection summaries.

How do I subscribe or edit email alerts?

Go to the FIRMS Email Alerts page.

  1. Enter the email address where you want to receive the email alerts and click “Proceed”.
  2. If you have not yet subscribed you will be asked to enter your Name, Organization, and Country. Click on “Save” after you have entered your information.
  3. You will be taken to the subscription summary page, where the user can create a new subscription or view existing subscriptions. The user can create several subscriptions, and they will be added to their subscription summary profile.
  4. Click on the “Create a New Subscription” link to take the user to the interface to subscribe to an email alert.
    Creating a new subscription:
    • Choose your area of interest: The user can choose to select an area from a map (by defining a rectangular area), from a country drop down list or a drop down list of protected areas.
    • Customize your email alert by changing your subscription preferences:
      1. Name your alert (optional): The user can choose to give your alert a name for you to easily reference.
      2. Output map size: The user may choose to receive a map in the email and different sized maps are available.
      3. Background image: This refers to the background image on which the fires will be overlaid in the map in the email.
      4. Language preference: English, Spanish and French.
      5. Alert type: Daily, Weekly or Near-Real Time.
        • Daily: Fire detections are sent in a summary email every morning EDT (USA) with fire detections from the previous 24 hours.
        • Weekly: A week’s worth of fire points detected for the specified area are sent to the user on Monday mornings EDT (USA).
        • Near-real time: The fire points are sent out in an email as soon as they are processed by LANCE (within 3 hours of satellite overpass). The number of email varies depending on whether or not there was a fire in the specified area, whether or not it was detected, and the geographical location of the area (there are more frequent overpasses at high latitudes, and 4 daily overpasses for most places on the equator).
    • Email preferences: The user can choose to receive an email with a map and text, or text only.
    • Attach .CSV file: By default this option is flagged, meaning that the subscriber will also receive a CSV file containing the fire location information.
    • Help with subscription preferences: Clicking on the hyperlinked text of the subscription preferences will open pop-up messages containing the description and usage of the preference.
    • Email confirmation and final subscription: The user can choose not to receive an email confirming that he/she has subscribed successfully to an alert. The final signoff is completed by clicking either “Save Subscription” or “Cancel” (deletes all selections).
    • Subscription confirmations: The successful subscription is identified by two steps, the first of which is the confirmation page and a confirmation email (if this was selected). The confirmation page provides a link to let you return to the ‘Add, view or edit your subscription’ page.

I requested a map image with my email alert but I can’t see the map in my email alert, where is it?

Please check the settings in your email client. Your email client may be blocking images from being displayed in your email as a security measure. You will have to enable the choice to view images in your email. Your email client may also be sending the email alert to your spam/junk folder as a security measure and it is likely that you will also not be able to view the map image if the email is in your spam/junk folder. You should add the FIRMS email address and/or email domain to the safe senders list, so it will deliver the email to your inbox and display images. You can also view the map by clicking on the link below the map image “View Map Image on FIRMS server”; this will open the map in your browser. Map images are stored for 14 days on the FIRMS server.

I requested a CSV file with my email alert but I can’t see the file attached to my email alert, where is it?

If the number of fires in the alert exceeds 90,000 a link to download the CSV file will be provided instead of an attachment. CSV files are stored for 14 days on the FIRMS server.

I have received a CSV file as part of my Email Alert, can I add it as a layer in a Desktop GIS software?

A CSV or Comma Separated Value file, is a text file in which separate fields are delimited by commas. This type of file can be used to store simple tabular data efficiently, minimizing file size. CSV files are easily opened with DB administration software such as PostgreSQL or MS Access, or by spreadsheet software such as MS Excel. This type of file can also be used to easily plot point data on desktop GIS software, given, as the active fire data does, that the tabular data contains X and Y coordinate information. The active fire data contains latitude and longitude location coordinates and the attributes of the detected fires.

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Last Updated: Jul 19, 2019 at 9:23 AM EDT