Fire atlas for the Frank Church-River of No Return Wilderness

2015 ◽  
Author(s):  
Sean A. Parks ◽  
Lisa M. Holsinger ◽  
Carol Miller ◽  
Cara R. Nelson
Keyword(s):  
Fire Atlas

scholarly journals Assessing the accuracy of remotely-sensed fire datasets across the Southwestern Mediterranean basin

2020 ◽  
Author(s):  
Luiz Felipe Galizia ◽  
Thomas Curt ◽  
Renaud Barbero ◽  
Marcos Rodrigues
Keyword(s):  
Mediterranean Basin ◽  
Quantitative Estimate ◽  
State Of The Art ◽  
Warm Season ◽  
Burned Area ◽  
Fire Size ◽  
Northern Iberian Peninsula ◽  
Fire Atlas ◽  
Highly Correlated ◽  
Size Threshold

Abstract. Recently, many remote-sensing (RS) based datasets providing features of individual fire events from gridded global burned area products have been released. Although very promising, these datasets still lack a quantitative estimate of their accuracy with respect to historical ground-based fire databases. Here, we compared three state-of-the-art RS datasets (Fire Atlas, FRY and GlobFire) with high-quality ground databases compiled by regional fire agencies (AG) across the Southwestern Mediterranean basin (2005–2015). We assessed the spatial and temporal accuracy in estimated RS burned area (BA) and number of fires (NF) aggregated at monthly and 0.25° resolutions, considering different individual fire size thresholds ranging from 1 to 500 ha. Our results show that RS datasets were highly correlated with AG in terms of monthly BA and NF but severely underestimated both (by 38 % and 96 %, respectively) when considering all fires > 1 ha. Stronger agreement was found when increasing the fire size threshold, with fires > 100 ha denoting higher correlation and much lower error (BA 10 %; NF 35%). The agreement between RS and AG was also the highest during the warm season (May to October) in particular across the regions with greater fire activity such as the Northern Iberian Peninsula. The Fire Atlas displayed a slightly better performance, with a lower relative error, although uncertainty in gridded BA product largely outpaced uncertainties across the RS datasets. Overall, our findings suggest a reasonable agreement between RS and ground-based datasets for fires larger than 100 ha, but care is needed when examining smaller fires at regional scales.

Comparison of fire scars, fire atlases, and satellite data in the northwestern United States

2007 ◽  
Vol 37 (10) ◽  
pp. 1933-1943 ◽  
Author(s):  
Lauren B. Shapiro-Miller ◽  
Emily K. Heyerdahl ◽  
Penelope Morgan
Keyword(s):  
20Th Century ◽  
Regional Scale ◽  
Early 20Th Century ◽  
Fire Scars ◽  
Late 20Th Century ◽  
Fire Scar ◽  
Fire Atlas ◽  
Normalized Burn Ratio ◽  
Source Of Information ◽  
Fire Extent

We evaluated agreement in the location and occurrence of 20th century fires recorded in digital fire atlases with those inferred from fire scars that we collected systematically at one site in Idaho and from existing fire-scar reconstructions at four sites in Washington. Fire perimeters were similar for two of three 20th century fires in Idaho (1924 and 1986). Overall spatial agreement was best in 1924 (producer’s accuracy = 94% and 68% and user’s accuracy = 90% and 70% for the 1924 and 1986 fires, respectively). In 1924, fire extent from the atlas was greater than for fire scars, but the reverse was true for 1986. In 1986, fire extent interpreted from the delta normalized burn ratio derived from pre- and post-fire satellite imagery was similar to that inferred from the fire-scar record (producer’s accuracy = 92%, user’s accuracy = 88%). In contrast, agreement between fire-scar and fire-atlas records was poor at the Washington sites. Fire atlases are the most readily available source of information on the extent of late 20th century fires and the only source for the early 20th century. While fire atlases capture broad patterns useful at the regional scale, they should be field validated and used with caution at the local scale.

scholarly journals Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin

2021 ◽  
Vol 21 (1) ◽  
pp. 73-86
Author(s):  
Luiz Felipe Galizia ◽  
Thomas Curt ◽  
Renaud Barbero ◽  
Marcos Rodrigues
Keyword(s):  
Remote Sensing ◽  
Mediterranean Basin ◽  
State Of The Art ◽  
Warm Season ◽  
Burned Area ◽  
Fire Size ◽  
Northern Iberian Peninsula ◽  
Fire Atlas ◽  
Highly Correlated ◽  
Size Threshold

Abstract. Recently, many remote-sensing datasets providing features of individual fire events from gridded global burned area products have been released. Although very promising, these datasets still lack a quantitative estimate of their accuracy with respect to historical ground-based fire datasets. Here, we compared three state-of-the-art remote-sensing datasets (RSDs; Fire Atlas, FRY, and GlobFire) with a harmonized ground-based dataset (GBD) compiled by fire agencies monitoring systems across the southwestern Mediterranean Basin (2005–2015). We assessed the agreement between the RSDs and the GBD with respect to both burned area (BA) and number of fires (NF). RSDs and the GBD were aggregated at monthly and 0.25∘ resolutions, considering different individual fire size thresholds ranging from 1 to 500 ha. Our results show that all datasets were highly correlated in terms of monthly BA and NF, but RSDs severely underestimated both (by 38 % and 96 %, respectively) when considering all fires > 1 ha. The agreement between RSDs and the GBD was strongly dependent on individual fire size and strengthened when increasing the fire size threshold, with fires  > 100 ha denoting a higher correlation and much lower error (BA 10 %; NF 35 %). The agreement was also higher during the warm season (May to October) in particular across the regions with greater fire activity such as the northern Iberian Peninsula. The Fire Atlas displayed a slightly better performance with a lower relative error, although uncertainty in the gridded BA product largely outpaced uncertainties across the RSDs. Overall, our findings suggest a reasonable agreement between RSDs and the GBD for fires larger than 100 ha, but care is needed when examining smaller fires at regional scales.

scholarly journals Global fire activity patterns (1996–2006) and climatic influence: an analysis using the World Fire Atlas

2008 ◽  
Vol 8 (7) ◽  
pp. 1911-1924 ◽  
Author(s):  
Y. Le Page ◽  
J. M. C. Pereira ◽  
R. Trigo ◽  
C. da Camara ◽  
D. Oom ◽  
...  
Keyword(s):  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Function Analysis ◽  
European Space Agency ◽  
Global Scale ◽  
Fire Dynamics ◽  
Fire Activity ◽  
Fire Atlas ◽  
The Impact

Abstract. Vegetation fires have been acknowledged as an environmental process of global scale, which affects the chemical composition of the troposphere, and has profound ecological and climatic impacts. However, considerable uncertainty remains, especially concerning intra and inter-annual variability of fire incidence. The main goals of our global-scale study were to characterise spatial-temporal patterns of fire activity, to identify broad geographical areas with similar vegetation fire dynamics, and to analyse the relationship between fire activity and the El Niño-Southern Oscillation. This study relies on 10 years (mid 1996–mid 2006) of screened European Space Agency World Fire Atlas (WFA) data, obtained from Along Track Scanning Radiometer (ATSR) and Advanced ATSR (AATSR) imagery. Empirical Orthogonal Function analysis was used to reduce the dimensionality of the dataset. Regions of homogeneous fire dynamics were identified with cluster analysis, and interpreted based on their eco-climatic characteristics. The impact of 1997–1998 El Niño is clearly dominant over the study period, causing increased fire activity in a variety of regions and ecosystems, with variable timing. Overall, this study provides the first global decadal assessment of spatial-temporal fire variability and confirms the usefulness of the screened WFA for global fire ecoclimatology research.

scholarly journals Can fire atlas data improve species distribution model projections?

2014 ◽  
Vol 24 (5) ◽  
pp. 1057-1069 ◽  
Author(s):  
Shawn M. Crimmins ◽  
Solomon Z. Dobrowski ◽  
Alison R. Mynsberge ◽  
Hugh D. Safford
Keyword(s):  
Species Distribution ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Atlas Data ◽  
Fire Atlas

scholarly journals The Global Fire Atlas of individual fire size, duration, speed and direction

2019 ◽  
Vol 11 (2) ◽  
pp. 529-552 ◽  
Author(s):  
Niels Andela ◽  
Douglas C. Morton ◽  
Louis Giglio ◽  
Ronan Paugam ◽  
Yang Chen ◽  
...  
Keyword(s):  
Biomass Burning ◽  
Arid Ecosystems ◽  
Fire Season ◽  
Burned Area ◽  
Ecosystem Structure ◽  
Earth System ◽  
Fire Size ◽  
Regional Patterns ◽  
Fire Atlas ◽  
Strong Control

Abstract. Natural and human-ignited fires affect all major biomes, altering ecosystem structure, biogeochemical cycles and atmospheric composition. Satellite observations provide global data on spatiotemporal patterns of biomass burning and evidence for the rapid changes in global fire activity in response to land management and climate. Satellite imagery also provides detailed information on the daily or sub-daily position of fires that can be used to understand the dynamics of individual fires. The Global Fire Atlas is a new global dataset that tracks the dynamics of individual fires to determine the timing and location of ignitions, fire size and duration, and daily expansion, fire line length, speed, and direction of spread. Here, we present the underlying methodology and Global Fire Atlas results for 2003–2016 derived from daily moderate-resolution (500 m) Collection 6 MCD64A1 burned-area data. The algorithm identified 13.3 million individual fires over the study period, and estimated fire perimeters were in good agreement with independent data for the continental United States. A small number of large fires dominated sparsely populated arid and boreal ecosystems, while burned area in agricultural and other human-dominated landscapes was driven by high ignition densities that resulted in numerous smaller fires. Long-duration fires in boreal regions and natural landscapes in the humid tropics suggest that fire season length exerts a strong control on fire size and total burned area in these areas. In arid ecosystems with low fuel densities, high fire spread rates resulted in large, short-duration fires that quickly consumed available fuels. Importantly, multiday fires contributed the majority of burned area in all biomass burning regions. A first analysis of the largest, longest and fastest fires that occurred around the world revealed coherent regional patterns of extreme fires driven by large-scale climate forcing. Global Fire Atlas data are publicly available through http://www.globalfiredata.org (last access: 9 August 2018) and https://doi.org/10.3334/ORNLDAAC/1642, and individual fire information and summary data products provide new information for benchmarking fire models within ecosystem and Earth system models, understanding vegetation–fire feedbacks, improving global emissions estimates, and characterizing the changing role of fire in the Earth system.

Fire atlas for the Selway-Bitterroot Wilderness

2015 ◽  
Author(s):  
Sean A. Parks ◽  
Lisa M. Holsinger ◽  
Carol Miller ◽  
Cara R. Nelson
Keyword(s):  
Fire Atlas

Fire atlas for the Gila and Aldo Leopold Wilderness areas

2015 ◽  
Author(s):  
Sean A. Parks ◽  
Lisa M. Holsinger ◽  
Carol Miller ◽  
Cara R. Nelson
Keyword(s):  
Aldo Leopold ◽  
Wilderness Areas ◽  
Fire Atlas

Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA

2015 ◽  
Vol 24 (7) ◽  
pp. 1023 ◽  
Author(s):  
Crystal A. Kolden ◽  
Alistair M. S. Smith ◽  
John T. Abatzoglou
Keyword(s):  
Development Process ◽  
Fire Management ◽  
Research Capacity ◽  
The United States ◽  
Burn Severity ◽  
Empirical Relationships ◽  
Western Us ◽  
Fire Atlas ◽  
The Usa ◽  
Derived Data

The Monitoring Trends in Burn Severity project is a comprehensive fire atlas for the United States that includes perimeters and severity data for all fires greater than a particular size (~400 ha in the western US, and ~200 ha in the eastern US). Although the database was derived for management purposes, the scientific community has expressed interest in its research capacity. As with any derived data, it is critical to understand inherent limitations to maximise the utility of the dataset without compromising the inferences. The classified severity product in particular is of limited use to research due to a lack of both consistency in developing class thresholds and empirical relationships with ecological metrics. Here we review the products available and their development process, and characterise and quantify the limitations of the classified burn severity data product based on the use of highly variable and subjective classification thresholds. We suggest a framework for overcoming these limitations by developing a more robust classified product that will support ecological management and applications. This framework utilises field data to develop consistent, ecologically based thresholds that incorporate existing ecoregion classifications from LANDFIRE or other fire management frameworks already widely integrated into planning efforts.

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