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

	LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis
	Dai Xiaoai; Liu Chao; Li Naiwen; Wang Meilian; Yang Yuwei; Yang Xingping; Zhang Shiqi; He Xuwei; Yang Zhengli; Lu Heng; Li Jingzhong; Wang Zekun
来源期刊	山地科学学报
ISSN	1672-6316
出版年	2021
卷号	18 期号:6 页码:1672-6316
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 R2 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 twodimensional 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 onedimensional variable correction method, the twodimensional 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
国家	中国
收录类别	CSCD
WOS类目	Plant Sciences
CSCD记录号	CSCD:6999584
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365213
作者单位	Dai Xiaoai, School of Earth Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.; Yang Yuwei, School of Earth Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.; Yang Xingping, School of Earth Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.; Zhang Shiqi, School of Earth Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.; He Xuwei, School of Earth Science, Chengdu University of Technology, Chengdu, Sichuan 610059, China.; Liu Chao, Sichuan University;;College of Hydraulic and Hydroelectric Engineering, Sichuan University, State Key Laboratory of Hydraulics and Mountain River Engineering;;, Chengdu;;Chengdu, ;; 610065;;610065.; Li Naiwen, Sichuan University;;College of Hydraulic and Hydroelectric Engineering, Sichuan University, State Key Laboratory of Hydraulics and Mountain River Engineering;;, Chengdu;;Chengdu, ;; 610065;;610065.; Yang Zhengli, Sichuan University;;College of Hydraulic and Hydroelectric Engine...
推荐引用方式 GB/T 7714	Dai Xiaoai,Liu Chao,Li Naiwen,et al. LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis[J],2021,18(6):1672-6316.
APA	Dai Xiaoai.,Liu Chao.,Li Naiwen.,Wang Meilian.,Yang Yuwei.,...&Wang Zekun.(2021).LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis.山地科学学报,18(6),1672-6316.
MLA	Dai Xiaoai,et al."LAI scale effect research based on compact airborne spectrographic imager data in the Heihe Oasis".山地科学学报 18.6(2021):1672-6316.