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HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product

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HMS-Smoke

NOAA's Hazard Mapping System (HMS) Smoke Product

The HMS Smoke Explorer allows end-users to visualize NOAA's Hazard Mapping System (HMS) smoke product, MODIS active fires and aerosol optical depth, and GOES-East/West RGB imagery. Since 2005, NOAA analysts manually inspect visible imagery (e.g. GOES, MODIS, VIIRS) and outline the extent of smoke across North America, classified into three density categories: light, medium, and heavy, to produce the HMS smoke product. A corresponding HMS fire product includes active fire detections from multiple satellites/sensors (e.g., MODIS, VIIRS, GOES, AVHRR) with quality control by the analyst.

The latest date available in the HMS Smoke Explorer is August 5, 2024.

banner image

Tool Capabilities

  • Make an animation looping GOES-East/West RGB imagery. Right-click on the GIF and select "Save Image As..." to save the animation to your local storage.
  • View satellite-derived (MODIS) and model forecast (CAMS) aerosol optical depth and surface PM2.5 with HMS smoke.
  • View HMS smoke text descriptions and summary statistics.

Datasets on HMS Smoke Explorer

The HMS Smoke Explorer covers the time range of the HMS Smoke Product (2005/08-present). Ancillary datasets for visualization are listed below.

Dataset Time Range Spatial Resolution
HMS Smoke 2005/08-present --
HMS Fire 2003/04-present --
HMS Smoke Text 2005/07-present --
MODIS Burned Area 2000/10-present 500 m
MODIS MAIAC Aerosol Optical Depth (AOD) 2000/02-present 1 km
ECMWF/CAMS AOD, PM2.5 2016/06-present 0.4°
GOES-16/East 2017/07-present 2 km
GOES-17/West 2018/12-2023/01 2 km
GOES-18/West 2022/10-present 2 km

HMS on Google Earth Engine

The processed HMS smoke product can be used for analysis on Google Earth Engine (EE) and downloaded as yearly files.

// read HMS smoke polygons and active fires by year
var inYear = 2020;
var HMS = ee.FeatureCollection('projects/GlobalFires/HMS/Smoke_Polygons/HMS_' + inYear);
var HMS_Fire = ee.FeatureCollection('projects/GlobalFires/HMS/Fire_Points/HMS_Fire_' + inYear);

// filter by month and day
var inMonth = 8;
var inDay = 1;
var HMS_day = HMS.filter(ee.Filter.eq('Month',8)).filter(ee.Filter.eq('Day',1));
var HMSFire_day = HMS_Fire.filter(ee.Filter.eq('Month',8)).filter(ee.Filter.eq('Day',1));

Map.addLayer(HMS_day);
Map.addLayer(HMSFire_day, {color:'red'});
Map.centerObject(HMS_day);

print(HMS_day);
print(HMSFire_day);

HMS Smoke Product

Variable Description Format
ID Unique ID for each polygon YYYYJJJ (1-4 = year, 5-7 = day of year, 8-11 = original row of a polygon in that day's raw HMS file)
Year Year 2005-present
Month Month 1-12
Day Day 1-31
JDay Julian day or DOY 1-365
Start Start time, UTC HHMM
End End time, UTC HHMM
StSec Start time seconds since 1970-01-01
EndSec End time seconds since 1970-01-01
Duration End time minus start time, with a 15-min buffer hours
Density Density of smoke polygon 'Light', 'Medium', 'Heavy', or 'Unspecified'
Satellite Satellite used as a reference for the polygon e.g., 'GOES-EAST', 'GOES-WEST'
Area Area of polygon km2
QAFlag QA flag 0-5 (valid: 0 = good, 1 = coordinates adjusted, 2 = unclosed rings; invalid and not included in SHP: 3 = linestring, 4 = point / empty, 5 = crossed edges)
IsMulti Is the polygon a multipolygon? 'Y' or 'N'
fillFlag* Flag on gap-filling smoke density 0 = no gapfill, 1 = gapfill (model with AOD), 2 = gapfill (model without AOD)
fillConf* Confidence on gap-filled density based on predicted model outcomes from bootstrapping (polygons that did not need gap-filling are automatically labeled with a value of 1) 0-1

* only relevant for 2005-2010, so HMS files for only those years have these columns on EE

Notes:

  • The start and end time represent the time bounds of the satellite images used to draw the HMS polygons, not the actual persistence duration of the smoke plume
  • In the tool, duration is used to estimate the annual contribution of each smoke density category at a particular location
  • For QA = 1, out-of-bounds coordinates with y > 90 or y < -90 are removed (removes some anomalous coordinates), x < -180 is forced to be x = -180 as this may lead to disfigured polygons on EE
  • For QA = 2, the first coordinate is repeated at the end of the list of coordinates to close the polygon ring

Caveats

  • The HMS smoke product represents smoke as seen from satellites. In some places, smoke may be aloft and may not affect surface air quality. This is particularly true for light smoke.
  • Use caution when assessing trends in smoke using the HMS smoke product outside of CONUS. Note the lower spatial coverage in earlier years, which can be seen from the artificial boundaries in annual aggregates.
  • The HMS 'Duration' is calculated from the start and end times of satellite images used to outline the smoke. Thus, it is not an estimate of the true smoke duration. HMS analysts outline smoke using only daytime satellite imagery and generally analyze heavy smoke twice per day in the morning and late afternoon.
  • HMS smoke polygons in 2005-2007, 2009, and some in 2008 and 2010 are not classified into smoke density classes (light, medium, heavy). We used random forest modeling to assign densities to all such polygons.
  • HMS smoke polygons with bad geometries and throws an error in R (i.e. drawn as lines rather than polygons, edges crossing edges) have been removed.
  • GOES-16/East became operational on December 18, 2017, GOES-17/West on February 12, 2019, and GOES-18/West on January 4, 2023 (replacing GOES-17/West). Note these dates when selecting the GOES RGB images.

Summary Stats and Quality Control

Number of HMS polygons in each year, and how many are invalid after processing in R. The number of smoke polygons with gapfilled densities are also shown below.

Year Total Valid Invalid Gapfill
2005 6296 6291 5 6291
2006 15453 15441 12 15441
2007 19881 19870 11 19612
2008 23203 23186 17 5073
2009 23517 23480 37 23332
2010 27241 27215 26 7437
2011 33721 33704 17 0
2012 27972 27964 8 0
2013 23162 23143 19 0
2014 18565 18557 8 0
2015 16356 16344 12 0
2016 21280 21268 12 0
2017 25843 25841 2 0
2018 41331 41320 11 0
2019 42945 42934 11 0
2020 45440 45438 2 0
2021 27573 27572 1 0
2022 21906 21904 2 0
2023 20303 20302 1 0
2024 8040 8038 2 0

Caveats

  • The availability of the satellites is not uniform throughout the record. For example, recent years have higher-resolution active fire detections from VIIRS, which is more capable at detecting small fires.
  • The geolocation error for active fire detections varies among different satellites/sensors (e.g., 10s-100s m for VIIRS and up to 1 km for GOES) (see NOAA's HMS FAQ)
  • There are missing HMS fire data (no .zip files) on some days.
  • Some entries have malformed and/or missing date/time.

HMS Fire Product

Variable Description Format
Lon Longitude (center) of active fire coordinates float
Lat Latitude (center) of active fire coordinates float
Year Year (HMS filename) 2003-present
Month Month (HMS filename) 1-12
Day Day (HMS filename) 1-31
JDay Julian day or DOY (HMS filename) 1-365
YearSat Year (satellite) 2003-present
MonthSat Month (satellite) 1-12
DaySat Day (satellite) 1-31
JDaySat Julian day or DOY (satellite) 1-365
HHMMSat Hour/minute of active fire detection, UTC HHMM
Satellite Satellite origin of active fire detection e.g., 'GOES-EAST', 'GOES-WEST'
Method Method of active fire detection ANALYSIS = manual input, other labels = automated
Ecosystem Ecosystem category derived from the Global Land Cover Characterization databse integer
QAFlag QA flag for satellite detection date/time 0, 1 (valid: 0 = good, 1 = date/time invalid and filled with HMS filename)

Summary Stats and Quality Control

Number of HMS active fires from various satellites and missing days since April 1, 2003. MODIS includes Aqua and Terra, VIIRS includes S-NPP, NOAA-20, and NOAA-21, GOES includes GOES-East and GOES-West, and AVHRR includes NOAA-15 to NOAA-19 and METOP-A/B/2.

Year Available Days Total Active Fires MODIS VIIRS GOES AVHRR Unspecified Malformed Datetime (%)
2003 219 192264 56661 0 78422 41818 15363 0
2004 362 531036 175776 0 134872 220388 0 0
2005 360 651044 228018 0 192847 230179 0 0
2006 360 285921 106080 0 72423 107418 0 0
2007 242 211687 60655 0 37482 113550 0 0
2008 366 481666 173927 0 86507 221232 0 0
2009 363 270833 93843 0 44733 132257 0 0
2010 365 330678 120127 0 63237 147314 0 0.02
2011 365 520365 173393 0 127661 219238 16 0.03
2012 366 433654 144903 0 104570 184181 0 0
2013 365 465282 160832 0 118188 186195 67 0.01
2014 364 359249 137836 343 74664 146406 0 0
2015 363 322907 130829 0 67129 124938 11 0
2016 362 326909 106902 14137 85019 120814 37 0.01
2017 360 712701 177054 210278 148459 176910 0 0
2018 362 1651738 130387 443825 990863 86653 10 0
2019 362 2579824 101782 2143731 293974 40337 0 0
2020 366 2493748 96669 2044170 352909 0 0 0
2021 365 4166429 142898 2597493 1426038 0 0 0
2022 365 3570747 80920 1834499 1655328 0 0 0
2023 365 8196303 0 5036609 3159694 0 0 0
2024 218 5823403 0 2773516 3049887 0 0 0

Basic Code for Processing HMS Products

Folder Structure:

HMS/ 
	Fire_Points/
		2003/
		...
		2024/
		processed/
	HMS_Extent/
	Smoke_Polygons/
		2003/
		...
		2024/
		processed/
	Smoke_Text/

Steps:

  1. Download the HMS .zip files to HMS/Smoke_Polygons/ and HMS/Fire_Points/ using ancill/HMS_Download.R and ancill/HMS_Fire_Download.R. Unzip using ancill/HMS_Unzip.R and ancill/HMS_Fire_Unzip.R.
  2. Process HMS daily shapefiles and output yearly shapefiles to HMS/Smoke_Polygons/processed/ and HMS/Fire_Points/processed/ using HMS.R and HMS_Fire.R.
  3. Retrieve HMS smoke text description links as .txt and output as yearly .csv tables in HMS/Smoke_Text/ using ancill/HMS_TextLinksYr.R; combine the .csv files into a single file, HMS/Smoke_Text/HMS_SmokeText.csv, using ancill/HMS_TextLinks.R

Gap-filling Unspecified Densities

We used random forest classification to assign densities (light, medium, or heavy) to polygons with unspecified densities from 2005-2010. This procedure is described in Liu et al. (accepted, IJWF). Note that the code has recently been updated to use sf instead of rgdal, and additional processing has been done to fix more bad geometries. The code workflow uses EE to generate some input data for the random forest model (HMS_Stack.js,HMS_AOD.js). The rest of the workflow is in R with RFmodel_prepare.R to output a CSV table of data for all HMS polygons from 2005-2022, RFmodel_withAOD.R and RFmodel_withoutAOD.R to run the random forest classification models, RFmodel_export.R to output another CSV table now with the gap-filled densities, and finally HMS_gapfill_shp.R to rewrite HMS files from 2005-2010 with the gap-filled densities and associated flags.

Updates

  • August 2024: replaced FIRMS with the HMS fire product for the active fires layer on the app
  • July 2024: added VIIRS active fires to app; there seems to be some issues with recent active fire images in the Earth Engine / FIRMS dataset
  • September 2023: uploaded gap-filled HMS polygons from 2005-2010 and added related code; added ancillary code for preprocessing; added note about evaluation of the HMS smoke product on the app
  • July 2023: updated R code to process HMS from rgdal to sf, code is now more inclusive of out-of-bounds polygons and attempts to fix some bad geometries (unclosed rings and out-of-bounds coordinates) but excludes polygons with crossed edges as sf cannot fix them; added QA flags; added jump to latest button
  • September 2020: added option to select GOES-East or GOES-West full disk imagery, added CAMS PM2.5 and AOD
  • August 2020: added visualization of GOES RGB imagery, HMS smoke days and 'duration'

Publications

Liu, T., F.M. Panday, M.C. Caine, M. Kelp, D.C. Pendergrass, L.J. Mickley, E.A. Ellicott, M.E. Marlier, R. Ahmadov, and E.P. James. Is the smoke aloft? Caveats regarding the use of the Hazard Mapping System (HMS) smoke product as a proxy for surface smoke presence across the United States. (accepted at Int. J. Wildland Fire, preprint: https://doi.org/10.31223/X51963)

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