Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires

Vetrita, Yenni; Cochrane, Mark A.; Suwarsono,; Priyatna, Muhammad; Sukowati, Kusumaning Ayu Dyah; Khomarudin, M. Rokhis

doi:10.1088/1748-9326/abd3d1

Cited by 31 publications

(11 citation statements)

References 69 publications

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“…Detections made by moderate‐resolution global BA data sets such as MODIS have been evaluated for omission errors (false‐negatives) and commission errors (false‐positives), albeit not uniformly across the globe. Targeted evaluations have been conducted in specific regions (e.g., Chuvieco et al., 2008; D. Cheng et al., 2013; Hall et al., 2016; Libonati et al., 2015; Roy & Boschetti, 2009; Vetrita et al., 2021) and some global studies have evaluated the accuracy of MODIS BA detections using a stratified random sampling approach to select fires in a manner that equitably represents biomes and seasons (Boschetti et al., 2016, 2019; Padilla et al., 2014, 2015, 2017). For example, Boschetti et al.…”

Section: Technological Advances and Conceptual Foundations Of Fire Sc...mentioning

confidence: 99%

“…Targeted evaluations have been conducted in specific regions (e.g., Chuvieco et al, 2008;D. Cheng et al, 2013;Hall et al, 2016;Libonati et al, 2015;Roy & Boschetti, 2009;Vetrita et al, 2021) and some global studies have evaluated the accuracy of MODIS BA detections using a stratified random sampling approach to select fires in a manner that equitably represents biomes and seasons (Boschetti et al, 2016(Boschetti et al, , 2019Padilla et al, 2014Padilla et al, , 2015Padilla et al, , 2017. For example, Boschetti et al (2019) evaluated the MODIS BA product MCD64A1 and estimated commission and omission errors to be 40% and 73%, respectively, at the global scale.…”

Section: Expansion Of Earth Observationsmentioning

confidence: 99%

See 1 more Smart Citation

Global and Regional Trends and Drivers of Fire Under Climate Change

Jones

Abatzoglou

Veraverbeke

et al. 2022

Reviews of Geophysics

261

159

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Recent wildfire outbreaks around the world have prompted concern that climate change is increasing fire incidence, threatening human livelihood and biodiversity, and perpetuating climate change. Here we review current understanding of the impacts of climate change on fire weather (weather conditions conducive to the ignition and spread of wildfires) and the consequences for regional fire activity as mediated by a range of other bioclimatic factors (including vegetation biogeography, productivity and lightning) and human factors (including ignition, suppression, and land use). Through supplemental analyses, we present a stocktake of regional trends in fire weather and burned area (BA) during recent decades, and we examine how fire activity relates to its bioclimatic and human drivers.Fire weather controls the annual timing of fires in most world regions and also drives inter-annual variability in BA in the Mediterranean, the Pacific US and high latitude forests. Increases in the frequency and extremity of fire weather have been globally pervasive due to climate change during 1979-2019, meaning that landscapes are primed to burn more frequently. Correspondingly, increases in BA of ~50% or higher have been seen in some extratropical forest ecoregions including in the Pacific US and highlatitude forests during 2001-2019, though interannual variability remains large in these regions.Nonetheless, other bioclimatic and human factors can override the relationship between BA and fire weather. For example, BA in savannahs relates more strongly to patterns of fuel production or to the fragmentation of naturally fire-prone landscapes by agriculture. Similarly, BA trends in tropical forests relate more strongly to deforestation rates and forest degradation than to changing fire weather. Overall, BA has reduced by ~30% globally in the past two decades, due in large part to a ~40% decline in BA in African savannahs.According to climate models, the prevalence and extremity of fire weather has already emerged beyond its pre-industrial variability in the Mediterranean due to climate change, and emergence will become increasingly widespread at additional levels of warming. Moreover, several of the major wildfires experienced in recent years, including the Australian bushfires of 2019/2020, have occurred amidst fire weather conditions that were considerably more likely due to climate change.Current fire models incompletely reproduce the observed spatial patterns of BA based on their existing representations of the relationships between fire and its bioclimatic and human controls, and historical trends in BA also vary considerably across models. Advances in the observation of fire and understanding of its controlling factors are supporting the addition or optimisation of a range of processes in models.Overall, climate change is exerting a pervasive upwards pressure on fire globally by increasing the frequency and intensity of fire weather, and this upwards pressure will escalate with each increment of global warming. Improvements to ...

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Section: Technological Advances and Conceptual Foundations Of Fire Sc...mentioning

confidence: 99%

Section: Expansion Of Earth Observationsmentioning

confidence: 99%

Global and Regional Trends and Drivers of Fire Under Climate Change

Jones

Abatzoglou

Veraverbeke

et al. 2022

Reviews of Geophysics

261

159

View full text Add to dashboard Cite

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“…MODIS-derived BA products have been utilized in several studies across different regions and ecosystems in recent years, with their spatial and temporal accuracy being thoroughly assessed. These studies focus on typical (tropical forests, savannas, grasslands) [6,25,29,30] or less fire-prone (boreal forests or tundra) ecosystems [31] with the time period of investigation commonly spanning, with few exceptions, few seasons as a result of the limited availability of higher-resolution reference datasets, especially when extensive spatial scales are considered.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems

Katagis

Gitas

2022

Remote Sensing

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The catastrophic impact of wildfires on the economy and ecosystems of Mediterranean countries in recent years, along with insufficient policies that favor disproportionally high funding for fire suppression, demand a more comprehensive understanding of fire regimes. Satellite remote sensing products support the generation of relevant burned-area (BA) information, since they provide the means for the systematic monitoring of large areas worldwide at low cost. This research study assesses the accuracy of the two publicly available MODIS BA products, MCD64A1 C6 and FireCCI51, at a national scale in a Mediterranean country. The research period covered four fire seasons, and a comparison was conducted against a higher-resolution Sentinel-2 dataset. The specific objectives were to assess their performance in detecting fire events occurring primarily in forest and semi-natural lands and to investigate their spatial and temporal uncertainties. Monthly fire observations were processed and analyzed to derive a comprehensive set of accuracy metrics. We found that fire size has an impact on their detection accuracy, with higher detection occurring in fires larger than 100 ha. Detection of smaller (<100 ha) fires was favored by the 250 m FireCCI51 product, but not from MCD64A1 C6, which exhibited less than 50% detection probability in the same range. Their spatial estimates of burned area exhibited a fairly satisfactory agreement with the reference data, reaching an average of 78% in detection rate. MCD64A1 C6 exhibited a more consistent spatial performance overall and better temporal accuracy, whereas FireCCI51 did not substantially outperform the former despite its finer resolution. Additional research is required for a more rigorous assessment of the variability of these burned area products, yet this research provides further insight and has implications for their use in fire-related applications at the local to the national scale.

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“…This study makes use of the MODIS FireCCI51 fire data (Chuvieco et al, 2018a ). This product has been extensively validated for wildfires and larger burns (Hall et al, 2021 ), is shown to have a higher detection of smaller fires (< 1 km 2 ) compared to other products (Katagis & Gitas, 2022 ), and has comparable accuracy in detecting tropical peatland fires (Vetrita et al, 2021 ). Despite this, limitations of the MODIS burned area data have been documented in the literature (Alves et al, 2018 ; Chuvieco et al, 2018b ; Ying et al, 2019 ), with omission errors up to 72% (Boschetti et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Fire regime of peatlands in the Angolan Highlands

Lourenco

Woodborne

Fitchett

2022

Environ Monit Assess

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The Angolan Highlands region includes the Angolan miombo woodland ecoregion which supports miombo woodland, grasslands, subsistence agricultural land, and peatland deposits. Extensive fires, slash and burn agriculture, peat fuel extraction, and peatland drainage are among the anthropogenic practices that threaten these peatland deposits. Peat fires cause peatland degradation, release significant amounts of greenhouse gases, deteriorate air quality, and contribute towards climate change and biodiversity loss. This study presents an analysis of the fire regimes over the period 2001 to 2020 in an under-studied area of the Angolan Highlands. Moderate Resolution Imaging Spectroradiometer (MODIS) fire and vegetation data were used in combination with a land use/land cover (LULC) classification map to calculate fire frequency, burn area, and fire regimes. The fire patterns within the study site are comparable to those found in African woodland savannas. Across the study site, 6976 km 2 (11.31%) of the land surface area burned at least nine times from 2001 to 2020, occurring largely within in the river valley environment. Considering the different LULC classes, peatlands were calculated to (a) burn more frequently (average fire frequency from 2001 to 2020 = 9.12), (b) have the smallest proportion (4.11%) of area which remained unburnt over the fire archive, and (c) have the largest average proportion (45.65% or 746 km 2 ) of burnt area per year. Peatland burning occurred predominantly during drier months from May to September. The results of this study highlight the strong influence of LULC on the fire frequency and distribution in the study area, requiring unique fire management strategies. As has been documented for boreal and tropical peatlands across the globe, we stress the importance of peatland conservation and protection; continued unsustainable management practices may lead to the loss of these important peatland deposits. Supplementary Information The online version contains supplementary material available at 10.1007/s10661-022-10704-6.

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Evaluating accuracy of four MODIS-derived burned area products for tropical peatland and non-peatland fires

Cited by 31 publications

References 69 publications

Global and Regional Trends and Drivers of Fire Under Climate Change

Global and Regional Trends and Drivers of Fire Under Climate Change

Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems

Fire regime of peatlands in the Angolan Highlands

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