Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

Ecological Indicators

Volumn 57, Issue , 2015, Pages 486-496

  Li, Wang ^a,b   Niu, Zheng ^a   Huang, Ni ^a   Wang, Cheng ^a   Gao, Shuai ^a   Wu, Chaoyang ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Airborne LiDAR; Canopy height; Leaf area index; Maize biomass

Indexed keywords

BIOMASS; CARBON; CORRELATION METHODS; CROPS; ECOLOGY; MEAN SQUARE ERROR;

AIRBORNE LIDAR; CANOPY HEIGHTS; ECOLOGICAL INDICATORS; LEAF AREA INDEX; LIGHT DETECTION AND RANGING; ROOT MEAN SQUARED ERRORS; STRUCTURAL EQUATION MODELING; STRUCTURAL PARAMETER;

OPTICAL RADAR;

AGRICULTURAL ECOSYSTEM; AIRBORNE SENSING; GROWTH RATE; LEAF AREA INDEX; LIDAR; LIGHT USE EFFICIENCY; MAIZE; PHYTOMASS;

CHINA; GANSU; ZHANGYE;

ZEA MAYS;

EID: 84930946944     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2015.04.016     Document Type: Article

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