
Remote Sensing, Год журнала: 2025, Номер 17(9), С. 1546 - 1546
Опубликована: Апрель 26, 2025
Lake surface water area (LSWA) and lake temperature (LSWT) are critical indicators of climate change, responding rapidly to global warming. However, studies on the synergistic variations LSWA LSWT scarce, coupling relationships among lakes with different environmental characteristics remain unclear. In this study, relative growth rate (RKLSWA); absolute rates annual maximum, mean, minimum LSWTs (i.e., KLSWT_max, KLSWT_mean, KLSWT_min); difference between maximum (LSWT_mmd) (KLSWT_mmd) were investigated across more than 4000 in China using long-term Landsat data, their types permafrost non-permafrost recharge, endorheic or exorheic lakes, natural artificial lakes) comprehensively analyzed. Results indicate significant differences trends LSWT, as well interrelationships various regions types. Qinghai–Tibet Plateau (QTP), 57.8% showed an increasing trend LSWA, 2.4% showing moderate expansion (RKLSWA values 0.1–0.2), while over 27.5% South (SC) region displayed shrinkage −0.1~0%/year). Regarding LSWTs, 49.8% QTP exhibited a KLSWT_max greater 0, 47.9% KLSWT_mean 0. contrast, 48.1% Middle Lower Yangtze River Plain (MLYP) had less 48.5% Additionally, supplied by permanent demonstrated both those non-permanent permafrost. Further analysis revealed that approximately 20.2% experienced concurrent increase mean whereas around 18.9% simultaneous rise LSWT_mmd LSWA. This suggests is correlated rising temperatures differences. study provides deeper insights into response Chinese change offers important references for resource management ecological conservation.
Язык: Английский