Research on the method of using Landsat8 data to improve FCD model
ZHANG Chengcai1, LUO Weiran1, DOU Xiaonan2, WANG Jinxin1
1. College of Water Conservanc and Environmental Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Geomatics Centre of Henan Province, Zhengzhou 450000, China
摘要植被覆盖度是衡量地表植被状况的重要指标,在水文、气象和生态等方面的研究中具有重要作用。以Landsat8为数据源,采用Gram-Schmidt变换的光谱锐化融合方法提高热红外波段的空间分辨率,计算热量指数,对传统FCD模型(forest canopy density mapping model)进行改进,根据4种指数的关系计算植被覆盖度。通过与传统FCD模型方法计算结果比较,改进后的植被覆盖度计算方法具有更高的精度。
Abstract:As an important indicator, fractional vegetation coverage plays a critical role in the study of hydrology, weather, ecology and so on. Based on the Landsat8 as the data source and using Gramm - Schmidt transform spectrum sharpening fusion method, the authors improved the spatial resolution of thermal infrared band and calculated the thermal index. The traditional forest canopy density mapping model is improved based on the utilization of four indices to calculate the fractional vegetation coverage. A comparison with the traditional method shows that the improved model has a higher precision.
张成才, 罗蔚然, 窦小楠, 王金鑫. 应用Landsat8数据改进FCD模型方法[J]. 国土资源遥感, 2017, 29(4): 33-38.
ZHANG Chengcai, LUO Weiran, DOU Xiaonan, WANG Jinxin. Research on the method of using Landsat8 data to improve FCD model. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 33-38.
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