As an important indicator reflecting the surface ecological environment, vegetation is widely used in the study of regional resources and environmental carrying capacity. Taking Erhai Lake basin as an example and based on the Google Earth Engine remote sensing big data cloud computing platform, the authors obtained the annual maximum normalized difference vegetation index (NDVI) value of Erhai Lake basin in 1988—2018 by using nearly 455 Landsat series images with 30 m resolution. The pixel binary model was used for quantitative estimation of fractional vegetation cover (FVC), and the spatial-temporal change characteristics of FVC in Erhai Lake basin were comprehensively analyzed through the linear regression model. Additionally, the internal relationship between FVC and geological lithology was investigated. The results are as follows: (1) From 1988 to 2018, the vegetation coverage of Erhai Lake basin showed a trend of continuous fluctuation growth, with a growth rate of 0.38%/a. (2) The basin was dominated by high vegetation coverage, of which 82.54% of the regional vegetation coverage continued to be improved, whereas the area of continuous degradation accounted for only 3.27%, which was mainly distributed in the area with significant urbanization. (3) the FVC varied in different types of lithological areas, among which the highest was metamorphic rock, and the lowest was dolomite and volcanic rock.
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