Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery-Reference-Cited by-同舟云学术

Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery

Published:2018-04 Issue: Volume:66 Page:14-26
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Roosjen Peter P.J.,Brede Benjamin,Suomalainen Juha M.,Bartholomeus Harm M.,Kooistra Lammert,Clevers Jan G.P.W.

Funder

User Support Programme Space Research

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

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