@ARTICLE{Strzeliński_Paweł_The_2022, author={Strzeliński, Paweł}, number={No 4 (76) Images}, journal={ACADEMIA. The magazine of the Polish Academy of Sciences}, pages={22-25}, howpublished={online}, year={2022}, publisher={Polish Academy of Sciences}, language={eng}, abstract={High-resolution images of forest areas taken by drone or satellite, further integrated with airborne and terrestrial laser scanning data, can provide early warning of damage – even of individual trees afflicted by pests.}, type={Article}, title={The Forest in Infrared}, URL={http://journals.pan.pl/Content/126337/PDF-MASTER/22-25_Strzelinski_ang.pdf}, doi={10.24425/academiaPAS.2022.144675}, keywords={forestry, satellite imagery, remote sensing}, }