Estimation of leaf area index of Qinghai spruce (Picea crassifolia) forest using remote sensing in Qilian Mountains, northwest China

被引：1

作者：

Zhao Chuanyan ^{[1
]}

Jia Yanhong ^{[2
]}

Cheng Guodong ^{[3
]}

Li Shoubo ^{[1
]}

机构：

[1] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Hydrol & Ecol Lab Watershed, Lanzhou, Peoples R China

[2] Lanzhou Univ, Natl Lab Western Chinas Environm, Lanzhou, Peoples R China

[3] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Frozen Soil Eng, Lanzhou, Peoples R China

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

基金：

中国国家自然科学基金;

关键词：

Qinghai spruce; Qilian mountains; LAI; NDVI; allometric function;

D O I：

10.1109/IGARSS.2007.4423075

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A maximum growing season LAI in the Xishui natural reserve was estimated by direct measurement approach (allometric equation) and indirect method (remote sensing data). compare. LAI values from satellite measurements were compared with those from allometric function. We found that the errors, ranged from -0.25 to 0.46 in mature and over-mature trees at higher altitude, from 0.87 to 1.02 in young growth and half-mature trees at lower altitude.

引用

页码：1428 / 1431

页数：4

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