Landsat observations reveal increasing trend in lake clarity on the Qinghai-Tibetan Plateau: Insights into the lake optical response to climate change

遥感 气候变化 环境科学 变更检测 清晰 气候学 地质学 专题制图器 自然地理学 辐射测量 反射率 卫星图像 植被(病理学)
作者
Shenglei Wang,Wenzhi Zhang,Zhangru Tan,Evangelos Spyrakos,Kun Shi,Deepakrishna Somasundaram,Zijun Wu,Fangfang Zhang,Junsheng Li,Bing Zhang
出处
期刊:Remote Sensing of Environment [Elsevier BV]
卷期号:340: 115424-115424
标识
DOI:10.1016/j.rse.2026.115424
摘要

Lakes across the Qinghai-Tibetan Plateau (TP) have undergone substantial environmental changes in recent decades, under the influence of climate warming and enhanced precipitation. But the long-term changes in lake optical properties and their responses to climate change on the TP remain less explored. This study utilizes Landsat series datasets from 1986 to 2024 to estimate a fundamental lake optical property—the Secchi disk depth ( Z SD ) in TP lakes, for tracking the long-term shifts in TP lake ecosystems. To accommodate the limited spectral information of Landsat 5/TM imagery, an improved semi-analytical QAARGB model was proposed to enhance the applicability of the semi-analytical model on lakes with relatively low Z SD (<1 m). To maintain the consistency of Z SD retrieval across Landsat series datasets, MODIS data were also employed for cross-calibration. The results unveil a noteworthy upward trend of Z SD across TP lakes over the nearly 40 years (with average Sen's slope of 0.019 m/yr, P < 0.05), with more pronounced improvements observed in the western and central TP regions. Analysis of long-term lake Z SD and meteorological factors revealed three distinct response patterns of lake Z SD to climate change on the TP. These patterns were predominantly associated with NDVI (33.0% of lakes), lake area (31.0%), and air temperature (4.9%), unveiling clear spatial heterogeneity in the dominant meteorological factors associated with interannual Z SD variations. These findings highlight the cascading impacts of climate change on TP lakes—mediated by hydrological expansion, watershed vegetation, and thermal regime—ultimately reshaping their optical and ecological characteristics. • A new framework harmonizing Landsat sensors for consistent long-term Z SD estimation. • Employed MODIS to cross-calibrate Z SD derived from Landsat 5/TM and Landsat 8/OLI. • 53.0% of the TP lakes showed significant increases in Z SD during 1986–2024. • Revealed three response patterns of lake clarity to climate change on TP.
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