<p><strong>Abstract.</strong> Subarctic and boreal emissions of CH<sub>4</sub> are important contributors to the atmospheric greenhouse gas (GHG) balance and subsequently the global radiative forcing. Whilst N<sub>2</sub>O emissions may be lower, the much greater radiative forcing they produce justifies their inclusion in GHG studies. In addition to the quantification of flux magnitude, it is essential that we understand the drivers of emissions to be able to accurately predict climate-driven changes and potential feedback mechanisms. Hence this study aims to increase our understanding of what drives fluxes of CH<sub>4</sub> and N<sub>2</sub>O in a subarctic forest/wetland landscape during peak summer conditions and into the shoulder season, exploring both spatial and temporal variability, and uses satellite-derived spectral data to extrapolate from chamber-scale fluxes to a 2<span class="thinspace"></span>km<span class="thinspace"></span> × <span class="thinspace"></span>2<span class="thinspace"></span>km landscape area.<br><br>From static chamber measurements made during summer and autumn campaigns in 2012 in the Sodankylä region of northern Finland, we concluded that wetlands represent a significant source of CH<sub>4</sub> (3.35<span class="thinspace"></span>±<span class="thinspace"></span>0.44<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the summer campaign and 0.62<span class="thinspace"></span>±<span class="thinspace"></span>0.09<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the autumn campaign), whilst the surrounding forests represent a small sink (−0.06<span class="thinspace"></span>±<span class="thinspace"></span>&lt;<span class="thinspace"></span>0.01<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the summer campaign and −0.03<span class="thinspace"></span>±<span class="thinspace"></span>&lt;<span class="thinspace"></span>0.01<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the autumn campaign). N<sub>2</sub>O fluxes were near-zero across both ecosystems.<br><br>We found a weak negative relationship between CH<sub>4</sub> emissions and water table depth in the wetland, with emissions decreasing as the water table approached and flooded the soil surface and a positive relationship between CH<sub>4</sub> emissions and the presence of <i>Sphagnum</i> mosses. Temperature was also an important driver of CH<sub>4</sub> with emissions increasing to a peak at approximately 12<span class="thinspace"></span>°C. Little could be determined about the drivers of N<sub>2</sub>O emissions given the small magnitude of the fluxes.<br><br>A multiple regression modelling approach was used to describe CH<sub>4</sub> emissions based on spectral data from PLEIADES PA1 satellite imagery across a 2<span class="thinspace"></span>km<span class="thinspace"></span> × <span class="thinspace"></span>2<span class="thinspace"></span>km landscape. When applied across the whole image domain we calculated a CH<sub>4</sub> source of 2.05<span class="thinspace"></span>±<span class="thinspace"></span>0.61<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup>. This was significantly higher than landscape estimates based on either a simple mean or weighted by forest/wetland proportion (0.99<span class="thinspace"></span>±<span class="thinspace"></span>0.16, 0.93<span class="thinspace"></span>±<span class="thinspace"></span>0.12<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup>, respectively). Hence we conclude that ignoring the detailed spatial variability in CH<sub>4</sub> emissions within a landscape leads to a potentially significant underestimation of landscape-scale fluxes. Given the small magnitude of measured N<sub>2</sub>O fluxes a similar level of detailed upscaling was not needed; we conclude that N<sub>2</sub>O fluxes do not currently comprise an important component of the landscape-scale GHG budget at this site.</p>