NDLI: The inversion of crop height based on small-footprint waveform airborne lidar

Content Provider	IEEE Xplore Digital Library
Author	Mengwei Zhou Qinhuo Liu Qiang Liu Qing Xiao Bo Zhong
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, China (Mengwei Zhou; Qinhuo Liu; Qiang Liu; Qing Xiao; Bo Zhong)
Abstract	Due to limited vertical resolution, the waveform of vegetation whose height is relatively low will superpose on soil waveform. Therefore, lidar full-waveform data were mainly used in forestry, but no research in the crop. In this paper, in order to derive crop height, a gaussian decomposition algorithm based on transmitting waveform is adopted to distinguish the crop waveform from soil waveform, and to extract peak location and pulse width from raw waveform data, proving it is a reliable and highly accurate decomposition algorithm. Moreover, the decomposition algorithm lays the proper foundation for obtaining other crop biophysical parameters.
Starting Page	1190
Ending Page	1193
File Size	352895
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5654143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil Agriculture Laser radar Vegetation Laser beams Remote sensing Accuracy gaussian decomposition Lidar full-waveform crop height
Content Type	Text
Resource Type	Article

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