Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR-Reference-Cited by-同舟云学术

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Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR

Published:2016-02 Issue: Volume:44 Page:136-143
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:

Du Lin,Gong Wei,Shi Shuo,Yang Jian,Sun Jia,Zhu Bo,Song Shalei

Funder

National Natural Science Foundation of China

973 Program

Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China

Publisher

Elsevier BV

Subject

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

Reference63 articles.

1. Spectral derivative features for classification of hyperspectral remote sensing images: experimental evaluation;Bao;IEEE J. Selected Top. Appl. Earth Obs. Remote Sens.,2013

2. Spectral indices for estimating photosynthetic pigment concentrations: a test using senescent tree leaves;Blackburn;Int. J. Remote Sens.,1998

3. Hyperspectral Remote Sensing: Principles and Applications;Borengasser,2010

4. Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection;Brenning;Remote Sens. Environ.,2009

5. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density;Broge;Remote Sens. Environ.,2001

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