Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data

Miller, Jay D.; Yool, Stephen R.

doi:10.1016/s0034-4257(02)00071-8

Cited by 242 publications

(163 citation statements)

References 16 publications

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“…However, the burn severity map based on the combination of Landsat and Sentinel-2 data may be operative as a preliminary emergency map, as it allows an accurate initial approximation of fire damage level. Emergency maps help forest managers to minimize the potentially harmful effects of excessive post-fire erosion (Miller and Yool, 2002).…”

Section: Discussionmentioning

confidence: 99%

Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity

Quintano

Fernández–Manso

Fernández‐Manso

2018

International Journal of Applied Earth Observation and Geoinfor

128

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Nowadays Earth observation satellites, in particular Landsat, provide a valuable help to forest managers in post-fire operations; being the base of post-fire damage maps that enable to analyze fire impacts and to develop vegetation recovery plans. Sentinel-2A MultiSpectral Instrument (MSI) records data in similar spectral wavelengths that Landsat 8 Operational Land Imager (OLI), and has higher spatial and temporal resolutions. This work compares two types of satellite-based maps for evaluating fire damage in a large wildfire (around 8000 ha) located in Sierra de Gata (central-western Spain) on 6-11 August 2015. 1) burn severity maps based exclusively on Landsat data; specifically, on differenced Normalized Burn Ratio (dNBR) and on its relative versions (Relative dNBR, RdNBR, and Relativized Burn Ratio, RBR) and 2) burn severity maps based on the same indexes but combining pre-fire data from Landsat 8 OLI with post-fire data from Sentinel-2A MSI data. Combination of both Landsat and Sentinel-2 data might reduce the time elapsed since forest fire to the availability of an initial fire damage map. Interpretation of ortho-photograph Pléiades 1 B data (1:10,000) provided us the ground reference data to measure the accuracy of both burn severity maps. Results showed that Landsat based burn severity maps presented an adequate assessment of the damage grade (κ statistic = 0.80) and its spatial distribution in wildfire emergency response. Further using both Landsat and Sentinel-2 MSI data the accuracy of burn severity maps, though slightly lower (κ statistic = 0.70) showed an adequate level for be used by forest managers.

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Section: Discussionmentioning

confidence: 99%

Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity

Quintano

Fernández–Manso

Fernández‐Manso

2018

International Journal of Applied Earth Observation and Geoinfor

128

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“…The standard ATCOR4 desert aerosol model was chosen. The visible through SWIR bands (1-25) were processed to surface reflectance, the MIR bands (26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) were not atmospherically corrected and the thermal bands (41)(42)(43)(44)(45)(46)(47)(48)(49)(50) were atmospherically corrected to surface radiance. The surface radiance of the thermal bands was then separated into surface temperature (T s ) and surface emissivity ( ) using the emissivity normalization method [54].…”

Section: Master Imagery and Preprocessingmentioning

confidence: 99%

“…The Landsat NBR is used as a post-fire management tool in the USA and Canada, e.g., as operationally used by the Burned Area Emergency Rehabilitation (BAER) teams in the conterminous USA [12]. Numerous studies have demonstrated the usefulness of the index in the North American boreal and temperate regions [11,31,[36][37][38], however, far fewer studies have assessed its effectiveness in California chaparral shrublands [9,20,39], an ecosystem which is highly sensitive to burning [39][40][41]. The few studies in the California chaparral shrublands demonstrated that the NBR is reasonably well related to fire severity, however, none of them conducted an inter-indices comparison.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data

2011

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Abstract:Wildland fires are a yearly recurring phenomenon in many terrestrial ecosystems. Accurate fire severity estimates are of paramount importance for modeling fire-induced trace gas emissions and rehabilitating post-fire landscapes. We used high spatial and high spectral resolution MODIS/ASTER (MASTER) airborne simulator data acquired over four 2007 southern California burns to evaluate the effectiveness of 19 different spectral indices, including the widely used Normalized Burn Ratio (NBR), for assessing fire severity in southern California chaparral. Ordinal logistic regression was used to assess the goodness-of-fit between the spectral index values and ordinal field data of severity. The NBR and three indices in which the NBR is enhanced with surface temperature or emissivity data revealed the best performance. Our findings support the operational use of the NBR in chaparral ecosystems by Burned Area Emergency Rehabilitation (BAER) projects, and demonstrate the potential of combining optical and thermal data for assessing fire severity. Additional testing in more burns, other ecoregions and different vegetation types is required to fully understand how (thermally enhanced) spectral indices relate to fire severity.

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“…Similarly, we found that wet and burned surfaces were often most easily differentiated using the thermal band. Spectral indices based on band ratios of Landsat Thematic Mapper band 4 (760-900 nm) and band 7 (2080-2350 nm) have been shown to provide a good burnedunburned discrimination (Lopez Garcia and Caselles 1991, Koutsias andKarteris 2000, Miller andYool 2002) and have attractive properties, such as normalizing certain illumination and topographic variations (Verstraete and Pinty 1996). We found from empirical examination of these and other Landsat indices (Pereira et al 1997) that a spectral index computed as the difference between the Landsat ETM + band 5 (1550-1750 nm) and band 7 (2090-2350 nm) divided by their sum provided useful interpretive information for the 11 Landsat scenes examined in this study, with similar results using ETM + band 4 instead of band 5 (Lopez Garcia and Caselles 1991).…”

Section: Safnet Landsat Etm + Data Interpretationmentioning

confidence: 99%

The Southern Africa Fire Network (SAFNet) regional burned‐area product‐validation protocol

Roy

Fröst

Justice

et al. 2005

International Journal of Remote Sensing

104

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Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data

Cited by 242 publications

References 16 publications

Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity

Combination of Landsat and Sentinel-2 MSI data for initial assessing of burn severity

Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data

The Southern Africa Fire Network (SAFNet) regional burned‐area product‐validation protocol

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