 This study investigated the impact of spacia temporal scales on the detection of pine with nematode, PWN, infection in a mason pine plantation using hyperspectral imagery collected from unmanned aerial vehicles, UV. The study found that the optimal vegetation indices, this, and spatial resolutions varied depending on the stage of infection. In the early, mid, and late stages of infection, the random forest, RF, base PWN detection model had accuracies ranging between 72.05 percent and 99.28 percent, peaking at 10 centimeters, 8 centimeters, and 4 centimeters spatial resolutions, respectively. Additionally, the study found that the green normalized difference vegetation index, GNVI, and red-edge position, REP, were the optimal this and early and mid-infection stages, respectively. This article was authored by Japan, Jailin, and Tunisia. We are article.tv. Links in the description below.