Study on the Impact of Spatial Resolution on Fractional Vegetation Cover Extraction with Single-Scene and Time-Series Remote Sensing Data

The spatial resolution of remote sensing images directly affects the accuracy, efficiency, and computational cost extracting fractional vegetation cover (FVC). Taking Liyang woodland region, Jiangsu Province, as study area, FVCs with varying resolutions were extracted separately from Sentinel-2, Landsat-8, MOD13Q1, MOD13A1. variations in analyzed at one specific time series within a year. results show that (i) overall mean FVC values four did not differ substantially; however, present regular pattern overestimation or underestimation different levels. (ii) 10 m reference, accuracy extraction 30 m, 250 500 91.0%, 76.3%, 76.7%, respectively. differences distribution are most obvious water–land interfaces edge each patch. (iii) highest time-series lower-resolution is range 0.6~0.7 for FVC. degree variation depends on season conditions. In summary, there considerable need to monitor high-resolution depending level land surface. This provides reference selection research extraction.