Evaluating the Mid-Infrared Bi-spectral Index for improved assessment of low-severity fire effects in a conifer forest
T. Ryan McCarley A C , Alistair M. S. Smith A , Crystal A. Kolden A and Jason Kreitler B
+ Author Affiliations
- Author Affiliations
A University of Idaho, Department of Forest, Rangeland, and Fire Sciences, Moscow, ID, 83843, USA.
B US Geological Survey, Western Geographic Science Center, Boise, ID, 83706, USA.
C Corresponding author. Email: tmccarley@uidaho.edu
International Journal of Wildland Fire 27(6) 407-412 https://doi.org/10.1071/WF17137
Submitted: 30 August 2017 Accepted: 17 April 2018 Published: 23 May 2018
Abstract
Remote sensing products provide a vital understanding of wildfire effects across a landscape, but detection and delineation of low- and mixed-severity fire remain difficult. Although data provided by the Monitoring Trends in Burn Severity (MTBS) project are frequently used to assess severity in the United States, alternative indices can offer improvement in the measurement of low-severity fire effects and would be beneficial for future product development and adoption. This research note evaluated one such alternative, the Mid-Infrared Bi-Spectral Index (MIRBI), which was developed in savannah ecosystems to isolate spectral changes caused by burning and reduce noise from other factors. MIRBI, differenced MIRBI (dMIRBI) and burn severity indices used by MTBS were assessed for spectral optimality at distinguishing severity and the ability to differentiate between unburned and burned canopy in a conifer forest. The MIRBI indices were better at isolating changes caused by burning and demonstrated higher spectral separability, particularly at low severity. These findings suggest that MIRBI indices can provide an enhanced alternative or complement to current MTBS products in high-canopy-cover forests for applications such as discernment of fire perimeters and unburned islands, as well as identification of low-severity fire effects.
Additional keywords: Eastern Cascades, MTBS, LiDAR, wildfire.
References
Bowman DMJS, Williamson GJ, Abatzoglou JT, Kolden CA, Cochrane MA, Smith AMS (2017) Human exposure and sensitivity to globally extreme wildfire events. Nature Ecology & Evolution 1, 0058| Human exposure and sensitivity to globally extreme wildfire events.Crossref | GoogleScholarGoogle Scholar |
Brown JK, Oberhau RD, Johnston CM (1982) Handbook for inventorying surface fuels and biomass in the Interior West. USDA Forest Service, Intermountain Forest and Range Experiment Station, Forest Service General Technical Report INT-129. (Ogden, UT)
Chander G, Markham B (2003) Revised Landsat-5 TM radiometric calibration procedures and post-calibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing 41, 2674–2677.
| Revised Landsat-5 TM radiometric calibration procedures and post-calibration dynamic ranges.Crossref | GoogleScholarGoogle Scholar |
Chavez PSJ (1996) Image-based atmospheric corrections – revisited and improved. Photogrammetric Engineering and Remote Sensing 62, 1025–1035.
Eidenshink J, Schwind B, Brewer K, Zhu Z, Quayle B, Howard S (2007) A project for monitoring trends in burn severity. Fire Ecology Special Issue 3, 3–21.
| A project for monitoring trends in burn severity.Crossref | GoogleScholarGoogle Scholar |
Hudak AT, Morgan P, Bobbitt MJ, Smith AMS, Lewis SA, Lentile LB, Robichaud PR, Clark JT, McKinley RA (2007) The relationship of multispectral satellite imagery to immediate fire effects. Fire Ecology 3, 64–90.
| The relationship of multispectral satellite imagery to immediate fire effects.Crossref | GoogleScholarGoogle Scholar |
Kane VR, Lutz JA, Roberts SL, Smith DF, McGaughey RJ, Povak NA, Brooks ML (2013) Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park. Forest Ecology and Management 287, 17–31.
| Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park.Crossref | GoogleScholarGoogle Scholar |
Kaufman YJ, Remer LA (1994) Detection of forests using mid-IR reflectance: an application for aerosol studies. IEEE Transactions on Geoscience and Remote Sensing 32, 672–683.
| Detection of forests using mid-IR reflectance: an application for aerosol studies.Crossref | GoogleScholarGoogle Scholar |
Key CH, Benson NC (2006) Landscape assessment (LA): sampling and analysis methods. In ‘FIREMON: Fire effects monitoring and inventory system’. (Eds DC Lutes, RE Keane, JF Caratti, CH Key, NC Benson, S Sutherland, LJ Gangi) pp. LA-1–LA-51. USDA Forest Service, Rocky Mountain Research Station, General Technical Report, RMRS-GTR-164-CD. (Ogden, UT, USA)
Kolden CA, Weisberg PJ (2007) Assessing accuracy of manually mapped wildfire perimeters in topographically dissected areas. Fire Ecology 3, 22–31.
| Assessing accuracy of manually mapped wildfire perimeters in topographically dissected areas.Crossref | GoogleScholarGoogle Scholar |
Kolden CA, Lutz JA, Key CH, Kane JT, van Wagtendonk JW (2012) Mapped versus actual burned area within wildfire perimeters: characterizing the unburned. Forest Ecology and Management 286, 38–47.
| Mapped versus actual burned area within wildfire perimeters: characterizing the unburned.Crossref | GoogleScholarGoogle Scholar |
Kolden CA, Smith AMS, Abatzoglou JT (2015) Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA. International Journal of Wildland Fire 24, 1023–1028.
| Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA.Crossref | GoogleScholarGoogle Scholar |
Lentile LB, Holden ZA, Smith AMS, Falkowski MJ, Hudak AT, Morgan P, Lewis SA, Gessler PE, Benson NC (2006) Remote sensing techniques to assess active fire characteristics and post-fire effects. International Journal of Wildland Fire 15, 319–345.
| Remote sensing techniques to assess active fire characteristics and post-fire effects.Crossref | GoogleScholarGoogle Scholar |
López-García MJ, Caselles V (1991) Mapping burns and natural reforestation using Thematic Mapper data. Geocarto International 6, 31–37.
| Mapping burns and natural reforestation using Thematic Mapper data.Crossref | GoogleScholarGoogle Scholar |
Mahiny AS, Turner BJ (2007) A comparison of four common atmospheric correction methods. Photogrammetric Engineering and Remote Sensing 73, 361–368.
| A comparison of four common atmospheric correction methods.Crossref | GoogleScholarGoogle Scholar |
McCarley TR, Kolden CA, Vaillant NM, Hudak AT, Smith AMS, Kreitler J (2017a) Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest. Forest Ecology and Management 391, 164–175.
| Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest.Crossref | GoogleScholarGoogle Scholar |
McCarley TR, Kolden CA, Vaillant NM, Hudak AT, Smith AMS, Wing BM, Kellogg BS, Kreitler J (2017b) Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure. Remote Sensing of Environment 191, 419–432.
| Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure.Crossref | GoogleScholarGoogle Scholar |
McCarley TR, Kolden CA, Vaillant NM, Hudak AT, Smith AMS, Wing BM, Kellogg BS, Kreitler J (2018) LiDAR and Landsat change indices for the 2012 Pole Creek Fire. Forest Service Research Data Archive. Fort Collins, CO, USA.
Meddens AJH, Kolden CA, Lutz JA (2016) Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the north-western United States. Remote Sensing of Environment 186, 275–285.
| Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the north-western United States.Crossref | GoogleScholarGoogle Scholar |
Miller JD, Quayle B (2015) Calibration and validation of immediate post-fire satellite-derived data to three severity metrics. Fire Ecology 62, 789–798.
| Calibration and validation of immediate post-fire satellite-derived data to three severity metrics.Crossref | GoogleScholarGoogle Scholar |
Miller JD, Thode AE (2007) Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment 109, 66–80.
| Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR).Crossref | GoogleScholarGoogle Scholar |
Miller JD, Knapp EE, Key CH, Skinner CN, Isbell CJ, Creasy RM, Sherlock JW (2009) Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA. Remote Sensing of Environment 113, 645–656.
| Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR) to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA.Crossref | GoogleScholarGoogle Scholar |
Pereira JMC (1999) A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping. IEEE Transactions on Geoscience and Remote Sensing 37, 217–226.
| A comparative evaluation of NOAA/AVHRR vegetation indexes for burned surface detection and mapping.Crossref | GoogleScholarGoogle Scholar |
Roy DP, Boschetti L, Trigg SN (2006) Remote sensing of fire severity: assessing the performance of the Normalized Burn Ratio. IEEE Geoscience and Remote Sensing Letters 3, 112–116.
| Remote sensing of fire severity: assessing the performance of the Normalized Burn Ratio.Crossref | GoogleScholarGoogle Scholar |
Smith AMS, Wooster MJ, Drake NA, Dipotso FM, Falkowski MJ, Hudak AT (2005) Testing the potential of multispectral remote sensing for retrospectively estimating fire severity in African savannahs. Remote Sensing of Environment 97, 92–115.
| Testing the potential of multispectral remote sensing for retrospectively estimating fire severity in African savannahs.Crossref | GoogleScholarGoogle Scholar |
Smith AMS, Drake NA, Wooster MJ, Hudak AT, Holden ZA, Gibbons CJ (2007) Production of Landsat ETM+ reference imagery of burned areas within southern African savannahs: comparison of methods and application to MODIS. International Journal of Remote Sensing 28, 2753–2775.
| Production of Landsat ETM+ reference imagery of burned areas within southern African savannahs: comparison of methods and application to MODIS.Crossref | GoogleScholarGoogle Scholar |
Smith AMS, Eitel JUH, Hudak AT (2010) Spectral analysis of charcoal on soils: implications for wildland fire severity mapping methods. International Journal of Wildland Fire 19, 976–983.
| Spectral analysis of charcoal on soils: implications for wildland fire severity mapping methods.Crossref | GoogleScholarGoogle Scholar |
Smith AMS, Sparks AM, Kolden CA, Abatzoglou JT, Talhelm AF, Johnson DM, Boschetti L, Lutz JA, Apostol KG, Yedinak KM, Tinkham WT, Kremens RJ (2016) Towards a new paradigm in fire severity research using dose–response experiments. International Journal of Wildland Fire 25, 158–166.
| Towards a new paradigm in fire severity research using dose–response experiments.Crossref | GoogleScholarGoogle Scholar |
Smith AMS, Talhelm AF, Johnson DM, Sparks AM, Kolden CA, Yedinak KM, Apostol KG, Tinkham WT, Abatzoglou JT, Lutz JA, Davis AS, Pregitzer KS, Adams HD, Kremens RL (2017) Effects of fire radiative energy density dose on Pinus contorta and Larix occidentalis seedling physiology and mortality. International Journal of Wildland Fire 26, 82
| Effects of fire radiative energy density dose on Pinus contorta and Larix occidentalis seedling physiology and mortality.Crossref | GoogleScholarGoogle Scholar |
Sparks AM, Boschetti L, Smith AMS, Tinkham WT, Lannom KO, Newingham BA (2015) An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States. International Journal of Wildland Fire 24, 70
| An accuracy assessment of the MTBS burned area product for shrub–steppe fires in the northern Great Basin, United States.Crossref | GoogleScholarGoogle Scholar |
Sparks AM, Kolden CA, Talhelm AF, Smith AMS, Apostol KG, Johnson DM, Boschetti L (2016) Spectral indices accurately quantify changes in seedling physiology following fire: towards mechanistic assessments of post-fire carbon cycling. Remote Sensing 8, 572
| Spectral indices accurately quantify changes in seedling physiology following fire: towards mechanistic assessments of post-fire carbon cycling.Crossref | GoogleScholarGoogle Scholar |
Stephens SL, Burrows N, Buyantuyev A, Gray RW, Keane RE, Kubian R, Liu S, Seijo F, Shu L, Tolhurst KG, van Wagtendonk JW (2014) Temperate and boreal forest mega-fires: characteristics and challenges. Frontiers in Ecology and the Environment 12, 115–122.
| Temperate and boreal forest mega-fires: characteristics and challenges.Crossref | GoogleScholarGoogle Scholar |
Trigg S, Flasse S (2001) An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah. International Journal of Remote Sensing 22, 2641–2647.
| An evaluation of different bi-spectral spaces for discriminating burned shrub-savannah.Crossref | GoogleScholarGoogle Scholar |
Verstraete MM, Pinty B (1996) Designing optimal spectral indexes for remote sensing applications. IEEE Transactions on Geoscience and Remote Sensing 34, 1254–1265.
| Designing optimal spectral indexes for remote sensing applications.Crossref | GoogleScholarGoogle Scholar |
Wulder MA, White JC, Alvarez F, Han T, Rogan J, Hawkes B (2009) Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data. Remote Sensing of Environment 113, 1540–1555.
| Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data.Crossref | GoogleScholarGoogle Scholar |
