An Effective Low-Cost Remote Sensing Approach to Reconstruct the Long-Term and Dense Time Series of Area and Storage Variations for Large Lakes

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	An Effective Low-Cost Remote Sensing Approach to Reconstruct the Long-Term and Dense Time Series of Area and Storage Variations for Large Lakes
	Luo, Shuangxiao; Song, Chunqiao; Liu, Kai; Ke, Linghong; Ma, Ronghua
	2019
发表期刊	SENSORS
卷号	19 期号:19
文献类型	期刊论文
条目标识符	http://159.226.73.51/handle/332005/19134
专题	中国科学院南京地理与湖泊研究所
作者单位	中科院南京地理与湖泊研究所
推荐引用方式 GB/T 7714	Luo, Shuangxiao,Song, Chunqiao,Liu, Kai,et al. An Effective Low-Cost Remote Sensing Approach to Reconstruct the Long-Term and Dense Time Series of Area and Storage Variations for Large Lakes[J]. SENSORS,2019,19(19).
APA	Luo, Shuangxiao,Song, Chunqiao,Liu, Kai,Ke, Linghong,&Ma, Ronghua.(2019).An Effective Low-Cost Remote Sensing Approach to Reconstruct the Long-Term and Dense Time Series of Area and Storage Variations for Large Lakes.SENSORS,19(19).
MLA	Luo, Shuangxiao,et al."An Effective Low-Cost Remote Sensing Approach to Reconstruct the Long-Term and Dense Time Series of Area and Storage Variations for Large Lakes".SENSORS 19.19(2019).