Leaf water content estimation using top-of-canopy airborne hyperspectral data-Reference-Cited by-同舟云学术

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Leaf water content estimation using top-of-canopy airborne hyperspectral data

Published:2021-10 Issue: Volume:102 Page:102393
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:

Raj Rahul,Walker Jeffrey P.,Vinod Vishal,Pingale Rohit,Naik Balaji,Jagarlapudi Adinarayana

Funder

Japan Science and Technology Agency

IITB-Monash Research Academy

Department of Science and Technology

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. Generating surface soil moisture at 30 m spatial resolution using both data fusion and machine learning toward better water resources management at the field scale;Abowarda;Remote Sens. Environ.,2021

2. Plant responses to drought stress;Aroca,2012

3. Plant water relations, plant stress and plant production;Blum,2011

4. Why is water blue?;Braun;J. Chem. Educ.,1993

5. Analysis of water in food by near infrared spectroscopy;Büning-Pfaue;Food Chem.,2003

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