关键词: 植被覆盖度, Landsat卫星遥感, 像元二分模型, 图像差值法, 变异系数, 三屯河流域

Abstract: To analyze the spatiotemporal characteristics of vegetation cover in the Santun River Basin, a comprehensive study was conducted using a combination of Landsat satellite remote sensing data, pixel-based binary models, image differencing methods, and coefficient of variation. The period from 2000 to 2020, spanning 20 years, was examined to assess the distribution patterns, trends, and stability of vegetation cover. The results reveal a consistent annual increase in vegetation cover within the Santun River Basin, with a notable average growth rate of 4.93% per decade from 2012 to 2015. Spatially, the distribution of vegetation cover follows a distinctive pattern, with higher values observed at the two ends and lower values in the central regions. Additionally, approximately 39.58% of the Santun River Basin exhibits improved vegetation cover, indicating an overall positive trend. Notably, the majority of the basin displays relatively stable vegetation cover, characterized by minor to moderate variations.The evolution of vegetation cover in the Santun River Basin is influenced by a combination of natural and human factors. Changes in temperature and precipitation patterns constitute the primary natural influences, while alterations in land use types serve as the main drivers of change induced by human activities. These findings provide scientific foundation for promoting ecological restoration and facilitating sustainable economic development within the Santun River Basin.

Key words: vegetation coverage, Landsat satellite remote sensing, pixel binary model, image difference method, coefficient of variation, Santun River Basin