干旱区生态环境知识资源中心(Arid): LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis

Arid

DOI	10.1007/s11629-020-6525-1
	LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis
	Dai Xiao-ai; Liu Chao; Li Nai-wen; Wang Mei-lian; Yang Yu-wei; Yang Xing-ping; Zhang Shi-qi; He Xu-wei; Yang Zheng-li; Lu Heng; Li Jing-zhong; Wang Ze-kun
通讯作者	Lu, H (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China. ; Lu, H (corresponding author), Sichuan Univ, Coll Hydraul & Hydroelectr Engn, Chengdu 610065, Peoples R China.
来源期刊	JOURNAL OF MOUNTAIN SCIENCE
ISSN	1672-6316
EISSN	1993-0321
出版年	2021
卷号	18 期号:6 页码:1630-1645
英文摘要	As one of the key parameters for characterizing crop canopy structure, Leaf Area Index (LAI) has great significance in monitoring the crop growth and estimating the yield. However, due to the nonlinearity and spatial heterogeneity of LAI inversion model, there exists scale error in LAI inversion result, which limits the application of LAI product from different remote sensing data. Therefore, it is necessary to conduct studies on scale effect. This study was based on the Heihe Oasis, Zhangye city, Gansu province, China and the following works were carried out: Airborne hyperspectral CASI (Compact Airborne Spectrographic Imager) image and LAI statistic models were adopted in muti-scale LAI inversion. The overall difference of muti-scale LAI inversion was analyzed in an all-round way. This was based on two aspects, first inversion and then integration and first integration and then inversion, and on scale difference characteristics of three scale transformation methods. The generation mechanism of scale effect was refined, and the optimal LAI inversion model was expanded by Taylor expansion. By doing so, it quantitatively analyzed the contribution of various inversion processes to scale effect. It was found that the cubic polynomial regression model based on NDVI (940.7 nm, 712 nm) was the optimal model, where its coefficient of determination R-2 and the correlation coefficient of test samples R reached 0.72 and 0.936, respectively. Combined with Taylor expansion, it analyzed the scale error generated by LAI inversion model. After the scale effect correction of one-dimensional and two-dimensional variables, the correlation coefficient of CCD-LAI (China Environment Satellite HJ/CCD images) and CASI-LAI products (Compact Airborne Spectro graphic Imager products) increased from 0.793 to 0.875 and 0.901, respectively. The mean value, standard deviation, and relative true value of the two went consistent. Compared with one-dimensional variable correction method, the two-dimensional method had a better correction result. This research used the effective information in hyperspectral data as sub-pixels and adopted Taylor expansion to correct the scale error in large-scale and low-resolution LAI product, achieving large-scale and high-precision LAI monitoring.
英文关键词	Vegetation index Leaf Area Index Scale effect Taylor series expansion model
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000662311100015
WOS关键词	WATER PRODUCTIVITY ; MIDDLE REACHES ; RIVER-BASIN ; VEGETATION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350949
作者单位	[Dai Xiao-ai; Yang Yu-wei; Yang Xing-ping; Zhang Shi-qi; He Xu-wei] Chengdu Univ Technol, Sch Earth Sci, Chengdu 610059, Peoples R China; [Liu Chao; Li Nai-wen; Yang Zheng-li; Lu Heng] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China; [Liu Chao; Li Nai-wen; Yang Zheng-li; Lu Heng] Sichuan Univ, Coll Hydraul & Hydroelectr Engn, Chengdu 610065, Peoples R China; [Wang Mei-lian] Hong Kong Polytech Univ, Hong Kong 999077, Peoples R China; [Li Jing-zhong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China; [Wang Ze-kun] Auburn Univ, Dept Mech Engn, Auburn, AL 36849 USA
推荐引用方式 GB/T 7714	Dai Xiao-ai,Liu Chao,Li Nai-wen,et al. LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis[J],2021,18(6):1630-1645.
APA	Dai Xiao-ai.,Liu Chao.,Li Nai-wen.,Wang Mei-lian.,Yang Yu-wei.,...&Wang Ze-kun.(2021).LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis.JOURNAL OF MOUNTAIN SCIENCE,18(6),1630-1645.
MLA	Dai Xiao-ai,et al."LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis".JOURNAL OF MOUNTAIN SCIENCE 18.6(2021):1630-1645.