Unmanned Aerial Vehicle (UAV) data were collected using an eBee fixed-wing mapping drone (senseFly, Switzerland) with a Sequoia multi-spectral (Parrot, France) camera sensor at four study areas in the Torneträsk region, northern Sweden. The areas have an extent of 15–21 ha (~350 m × ~500 m). The setup covers at large the climatic variability of the Fennoscandian forest-tundra ecotone. The imagery was recorded during vegetation peak productivity between July 27th and August 4th in 2018 and 2019. The Sequoia sensor provides imagery in green, red, red-edge and near-infrared bands (G,R,RE,NIR). The normalized difference vegetation index (NDVI) was extracted using the R and NIR bands. Overexposed snow areas were gap-filled following Siewert and Olofsson (2020). Radiometric calibration was performed using spectral reflectance panels (MosaicMill, Finland). The imagery has a ground resolution of 11.4 cm–13.5 cm depending on flight and area after photogrammetric processing using Pix4Dmapper (Pix4D SA, Switzerland). The imagery was georeferenced with 4–8 ground reference markers using centimetre precision DGPS. Co-registration between 2018 and 2019 was generally near pixel-perfect and did mostly not deviate more than 2-3 pixels for locations within the analyzed core mapping area.The imagery was collected to assess Arctic vegetation productivity and the impact that interannual rodent population cycles of voles and lemmings can have on key vegetation during population peaks. The results are published in Siewert and Olofsson (2021).