The Normalized Difference Vegetation Index (NDVI) is an indicator used in remote sensing. This study was conducted on Perennial ryegrass (Lolium perenne) between December 17, 2021, and March 24, 2022. Parameters such as Normalized Difference Vegetation Index (NDVI), chlorophyll volume (SPAD value), leaf color change (L＊a＊b＊), and green leaf ratio (trimerization method) were measured at different treading stresses to assess their growth activity. The relevance and relationship between these results were analyzed, and their potential for growth diagnosis and visualization were tested. The results were visualized and quantified as representatives of the accumulated values of treading stress and experienced temperature; in addition, they were compared with those of Hybrid Bermuda Grass (Cynodon dactylon×Cynodon transvaalensis) grown at different times. Comparing these results, NDVI, SPAD value, Hue angle, E (color difference comparing 0 tread/day and treading pressure zone), and green leaf ratio values displayed little variation. This indicated that the response of Perennial ryegrass to treading stress was gradual and less responsive to treading stress than Hybrid Bermuda Grass. However, differences in NDVI values began to appear as the number of experimental days increased. The relationship between the F-value of the one-way ANOVA testing the difference in NDVI for each experimental plot and the number of days elapsed in the experiment showed a relationship between Perennial ryegrass (R²=0.22) and the Hybrid Bermuda Grass (R²=0.87). Differences in the NDVI responsiveness to treading stress between Perennial ryegrass and Hybrid Bermuda Grass during different growing seasons were revealed. The responses of Perennial ryegrass and Hybrid Bermuda Grass to treading stress during different growing seasons were compared in terms of accumulated treading stress and accumulated temperature. Clear differences in the responsiveness of Perennial ryegrass and Hybrid Bermuda Grass were observed to treading stress and growth disturbances.