Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing.
Chlorophyll content is an important indicator of the growth status of japonica rice. The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV). UAV-based hyp...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0238530 |
Search Result 1
Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
by Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu, Wang Li
Published 2020-01-01
Get full textPublished 2020-01-01
Article