Fractional Vegetation Cover(FVC) is an important parameter of charactering the land surface vegetation conditions as well as the most effective indicator for assessing desertification. The hyperspectral data acquired by the imaging spectrometer HIS which is onboard the HJ-1 small satellite, was U3ed to calculate the suitable narrow band vegetation index. The index was then applied to -sub-pixel de-composition model for FVC estimation-dimidiate pixel model. The fractional vegetation cover information in the Shihezi area (Xinjiang) was extracted by using this model. Cross-checked with the ground plot data,the accuracy of the HJ-1/HIS data retrieved fractional vegetation cover was evaluated. The results show that the HJ-1/HIS hyperspectral data can achieve an accurate estimation of fractional vegetation cover in the study area,and has the potential to be applied to the research on vegetation and global changes.%植被覆盖度是衡量地表植被状况的一个重要参数,在水文、生态等方面有重要意义,同时,也是影响土壤侵蚀与水土流失的主要因子,是评价土地荒漠化最有效的指标.以环境一号(HJ-1)小卫星上搭载的新型传感器HSI获取的高光谱数据为数据源,通过选择合适的植被指数建立了植被覆盖度反演模型——像元二分模型.然后运用该模型提取了新疆石河子地区的植被覆盖度信患.通过与地面样方数据进行交互比较,对HJ-1/HSI数据反演植被覆盖度的精度进行了评价.研究结果表明,HJ-1/HSI数据能够得到较高精度的植被覆盖度反演结果,在植被动态及全球变化研究领域具有潜在应用价值.
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