Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018–2019 Using Multi-Source Satellite Products

Kganyago, Mahlatse; Shikwambana, Lerato

doi:10.3390/rs12111803

Cited by 45 publications

(31 citation statements)

References 74 publications

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“…For example, the average FRP per fire pixel using MODIS (VIIRS) was 56 MW (13 MW) in forests of our study region compared to 29 MW (7 MW) in low-biomass lands. Significantly lower fire intensity in low-biomass lands compared to forests was also found in the United States, Australia, and Brazil in a recent study by Kganyago and Shikwambana [60]. The serious fire omission in low-biomass lands suggests the importance in considering such effect in associated studies (e.g., FRP-based emission calculation), especially for the MODIS fire product (compared with VIIRS fire product) and in regions dominated by cropland fires, grassland fires, and other low-biomass vegetation fires; for example, in Africa where croplands and grasslands are extensive [61].…”

Section: Fire Detection Comparison Across Land Cover Categoriessupporting

confidence: 55%

Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products

Wang²,

Bergeron

et al. 2020

Remote Sensing

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Fire omission and commission errors, and the accuracy of fire radiative power (FRP) from satellite moderate-resolution impede the studies on fire regimes and FRP-based fire emissions estimation. In this study, we compared the accuracy between the extensively used 1-km fire product of MYD14 from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the 375-m fire product of VNP14IMG from the Visible Infrared Imaging Radiometer Suite (VIIRS) in Northeastern Asia using data from 2012–2017. We extracted almost simultaneous observation of fire detection and FRP from MODIS-VIIRS overlapping orbits from the two fire products, and identified and removed duplicate fire detections and corresponding FRP in each fire product. We then compared the performance of the two products between forests and low-biomass lands (croplands, grasslands, and herbaceous vegetation). Among fire pixels detected by VIIRS, 65% and 83% were missed by MODIS in forests and low-biomass lands, respectively; whereas associated omission rates by VIIRS for MODIS fire pixels were 35% and 53%, respectively. Commission errors of the two fire products, based on the annual mean measurements of burned area by Landsat, decreased with increasing FRP per fire pixel, and were higher in low-biomass lands than those in forests. Monthly total FRP from MODIS was considerably lower than that from VIIRS due to more fire omission by MODIS, particularly in low-biomass lands. However, for fires concurrently detected by both sensors, total FRP was lower with VIIRS than with MODIS. This study contributes to a better understanding of fire detection and FRP retrieval performance between MODIS and its successor VIIRS, providing valuable information for using those data in the study of fire regimes and FRP-based fire emission estimation.

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Section: Fire Detection Comparison Across Land Cover Categoriessupporting

confidence: 55%

Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products

Wang²,

Bergeron

et al. 2020

Remote Sensing

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“…Les feux de brousse posent des défis de plus en plus importants si bien que même les pays développés sont extrêmement préoccupés par leur fréquence ainsi que l'ampleur des dégâts matériels et parfois humains dont ils sont responsables. En effet, en 2018 dans l'ouest des Etats Unis, un feu a coûté la vie à une centaine de personnes et avait fait 24 milliards de dégât matériel (Kganyago et Shikwambana, 2020).…”

Section: Introductionunclassified

Suivi des feux de brousse en Afrique de l’Ouest et au Sahel, un outil d’aide à la décision

Garba¹,

Amadou²,

Barry³

et al. 2022

Int. J. Bio. Chem. Sci

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Les feux de brousse sont courants en Afrique de l’Ouest et au Sahel. Ils contribuent à modifier sans cesse le paysage. Cette étude a été réalisée en Afrique de l’Ouest et en Mauritanie. Elle visait l’élaboration de plaidoyer pour la gestion des feux de brousse. Il s’agit plus spécifiquement, de contribuer à l’amélioration des connaissances sur la distribution spatiale et temporelle des feux de brousse. Pour cela, les données de MODIS (Moderate-Resolution Imaging Spectroradiometer) allant de 2014 à 2020 ont été utilisées. La répartition des feux actifs durant la saison 2019/2020 a été analysée et comparée à la moyenne des 5 dernières années précédant la période d’étude. De façon générale, la saison des feux démarre entre octobre à novembre et se termine en avril, avec des pics qui se manifestent à partir de décembre. Il ressort que 70% des occurrences des feux apparaissent entre décembre et février ce qui a permis de classer les pays en 7 groupes. Cette étude a également montré que le taux de détection des feux dépend du type d’occupation de sol. Enfin, elle montre l’importance des informations produites pour une meilleure gestion des ressources naturelles disponibles dans un contexte de changement climatique. English title: Wildfires monitoring in West Africa and the Sahel, a decision support tool Wildfires are common in West Africa and the Sahel and contributes to shape the landscape. The study was carried out in West Africa and Mauritania. The main goal of this study is a plea for monitoring wildfires in West Africa. The specific goal was to improve knowledge on the spatial and temporal distribution of wildfires in West Africa. Data from (2014-2020) of Moderate-Resolution Imaging Spectroradiometer (MODIS) have been utilized and processed using descriptive statistics. Repartition of active fire detection during 2019/2020 has been studied and compared with the mean of the previous five years (2014-2018). In general, fire season begins from October to November and ends in April with peaks starting in December. Our study revealed that 70% of wildfires are observed from December to February and this helps to classify the countries of the study area into 7 groups. Moreover, it has been showed that fire detection rate depends on the type of soil occupation. Finally, his study shows that data from remote sensing can be used to provide information to help decision-making for monitoring the available natural resources under a climate change context.

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“…Recent mega‐fires in Brazil, Australia, the USA and elsewhere point to a critical need to disentangle the relative importance of in situ and ex situ strategies in the post‐fire recovery of mammal populations (Kganyago & Shikwambana, 2020; Nolan et al., 2020). Larger, more intense and homogeneous fires are becoming increasingly common (Clarke et al., 2011), leaving fewer small unburned refuges within fire‐affected landscapes (Foster et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Evidence that post‐fire recovery of small mammals occurs primarily via in situ survival

Hale

Mendoza

Yeatman

et al. 2021

Diversity and Distributions

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Aim As climate change intensifies and wildfire frequency and scale increase, it is critical we develop a robust understanding of how species recover from these major disturbances. Here, we aim to determine whether source populations for recovery following large‐scale intense wildfires are derived from either in situ survival, or immigration from surrounding unburnt areas (ex situ). Secondly, we sought to determine whether habitat elements (e.g., logs) within the landscape facilitate in situ survival of small mammals during fires. Location Grampians National Park, south‐eastern Australia. Methods We used long‐term post‐fire small mammal monitoring to investigate sources of recovery for small mammals, and camera trapping and habitat surveys immediately following large intense wildfires to assess evidence for and drivers of post‐fire survival. Results We found no relationship between distance to unburnt vegetation and the occurrence of any native species, suggesting that in situ survival is the probable mechanism for recovery of post‐fire mammal populations, compared with immigration from external unburnt areas. We also show that key habitat elements such as rocks and large trees were associated with the occurrence of several species immediately post‐fire, suggesting a role for these features in facilitating the survival of species during and following fire. Main conclusions We present evidence for post‐fire recovery being driven by in situ survival. In situ survival is facilitated by small unburnt patches and habitat elements in burnt areas. These surviving individuals become the founders for subsequent post‐fire population recovery. Given that globally we are seeing increasingly frequent large‐scale wildfires driven by climate change, the capacity for in situ survival will help mitigate some of the fire‐related impacts of climate change.

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Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018–2019 Using Multi-Source Satellite Products

Cited by 45 publications

References 74 publications

Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products

Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products

Suivi des feux de brousse en Afrique de l’Ouest et au Sahel, un outil d’aide à la décision

Evidence that post‐fire recovery of small mammals occurs primarily via in situ survival

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