An automated method to quantify crop height and calibrate satellite-derived biomass using hypertemporal lidar

Journal article

Peer reviewed

Jan U.H. Eitel, Heather E Greaves, Troy S Magney, Lee A Vierling and Guang Zheng

Remote Sensing of Environment, Vol.187, pp.414-422

2016

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Title: An automated method to quantify crop height and calibrate satellite-derived biomass using hypertemporal lidar
Creators: Jan U.H. Eitel - University of Idaho
Heather E Greaves - University of Idaho
Troy S Magney - Jet Propulsion Laboratory
Lee A Vierling - University of Idaho
Guang Zheng - Nanjing University
Publication Details: Remote Sensing of Environment, Vol.187, pp.414-422
Identifiers: 996631585801851
Academic Unit: Natural Resources and Society; Center for Research on Invasive Species; Idaho Experimental Partnership to Stimulate Competitive Research; Rangeland Center
Language: English
Resource Type: Journal article