Abstract. African and South American (ASA) wildfires account for more than 70 % of global burned areas have strong connection to local climate sub-seasonal seasonal wildfire dynamics. However, representation the wildfire–climate relationship remains challenging due spatiotemporally heterogenous responses variability human influences. Here, we developed an interpretable machine learning (ML) fir...

Fire frequency and size are two important parameters describing fire characteristics. Exploring the spatial variation of fire characteristics and understanding the environmental controls are indispensable to fire prediction and sustainable forest landscape management. To illustrate the spatial variation of forest fire characteristics over China and to quantitatively determine the relative contr...

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Climate change has increased the area affected by forest fires each year in boreal North America1,2. Increases in burned area and fire frequency are expected to stimulate boreal carbon losses3–5. However, the impact of wildfires on carbon emissions is also affected by the severity of burning. How climate change influences the severity of biomass burning has proved difficult to assess. Here, we ...

Optical remote sensing instruments accumulate abundant data from across all of the earth's land surfaces, making it possible both to understand effects climate change and monitor, investigate, manage ground-level events in detail. Processing using resources located near on-board satellite sensors can bring major benefits terms minimizing analysis time quickly initiating active actions critical ...

Fire is a key Earth system process, with 80% of annual fire activity taking place in grassland areas. However, past fire regimes in grassland systems have been difficult to quantify due to challenges in interpreting the charcoal signal in depositional environments. To improve reconstructions of grassland fire regimes, it is essential to assess two key traits: (1) charcoal count, and (2) charcoa...

The application of an integrated monitoring tool to assess and understand the effects of annually occurring forest fires is presented, with special emphasis to Mediterranean and Temperate Continental zones of Europe. The distinctive features of the information conveyed by optical and microwave remote sensing data have been firstly investigated, and pertinent information have been subsequently c...