Research on the method of using Landsat8 data to improve FCD model

doi:10.6046/gtzyyg.2017.04.06

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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

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Issue Date: 04 December 2017

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	ZHENG Zhaoju
	ZENG Yuan
	ZHAO Yujin
	ZHAO Dan
	WU Bingfang

Cite this article:

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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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.06 OR https://www.gtzyyg.com/EN/Y2017/V29/I4/33

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