Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion

Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion

The aim of this study was to follow the response to drought stress in a Poa pratensis canopy exposed to various levels of soil moisture deficit. We tracked the changes in the canopy reflectance (450–2450 nm) and retrieved vegetation properties (Leaf Area Index (LAI), leaf chlorophyll content (Cab),...

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Bibliographic Details
Main Authors: Bagher Bayat, Christiaan van der Tol, Wouter Verhoef
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Remote Sensing
Subjects:
soil moisture deficit
drought stress
canopy reflectance
grass response
spectroscopic techniques
vegetation indices
RTMo model inversion
remote sensing
Online Access:http://www.mdpi.com/2072-4292/8/7/557

Internet

http://www.mdpi.com/2072-4292/8/7/557

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