Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

Ecological Indicators

Volumn 67, Issue , 2016, Pages 637-648

  Li, Wang ^a   Niu, Zheng ^a   Chen, Hanyue ^b   Li, Dong ^a   Wu, Mingquan ^a   Zhao, Wei ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b FUJIAN AGRICULTURE AND FORESTRY UNIVERSITY   (China)

Author keywords

Canopy height; Maize biomass; Point clouds; Stereo images; Unmanned aerial vehicle

Indexed keywords

BIOMASS; CARBON; COST BENEFIT ANALYSIS; COST ESTIMATING; COSTS; DECISION TREES; ECOLOGY; GRAIN (AGRICULTURAL PRODUCT); PARAMETER ESTIMATION; REGRESSION ANALYSIS; UNMANNED AERIAL VEHICLES (UAV); VEGETATION; VEHICLES;

AIRBORNE LASER SCANNING; BIOPHYSICAL PARAMETERS; CANOPY HEIGHTS; HIGH RESOLUTION STEREO; POINT CLOUD; SPECTRAL VEGETATION INDICES; STEREO-IMAGE; UNMANNED AERIAL VEHICLE SYSTEMS;

STEREO IMAGE PROCESSING;

ABOVEGROUND BIOMASS; AGROECOLOGY; CANOPY; CARBON SEQUESTRATION; ESTIMATION METHOD; GROWTH RATE; LIGHT USE EFFICIENCY; MAIZE; PERFORMANCE ASSESSMENT; PHOTOGRAMMETRY; REMOTE SENSING; STEREO IMAGE; UNMANNED VEHICLE; VEGETATION INDEX;

ZEA MAYS;

EID: 84961989773     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2016.03.036     Document Type: Article

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