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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 33-38     DOI: 10.6046/gtzyyg.2017.04.06
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
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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.
Keywords fractional vegetation cover      dimidiate pixel method      southwestern China      climatic factor      human activities     
:  TP79  
Issue Date: 04 December 2017
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ZHENG Zhaoju
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WU Bingfang
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ZHENG Zhaoju,ZENG Yuan,ZHAO Yujin, et al. Research on the method of using Landsat8 data to improve FCD model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 33-38.
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