Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models-Reference-Cited by-同舟云学术

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Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models

Published:2019-04 Issue: Volume:150 Page:185-196
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Xu X.Q.,Lu J.S.,Zhang N.,Yang T.C.,He J.Y.,Yao X.,Cheng T.,Zhu Y.,Cao W.X.,Tian Y.C.

Funder

National Key R&D Program

Science and Technology Support Program of Jiangsu

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference62 articles.

1. Interaction of isotropic light with a compact plant leaf;Allen;J. Opt. Soc. Am.,1969

2. Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest;Ali;Int. J. Appl. Earth Obs.,2016

3. Two-dimensional solar radiation interception model for hedgerow fruit trees;Annandale;Agr. Forest Meteorol.,2004

4. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models;Atzberger;Remote Sens. Environ.,2004

5. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat;Atzberger;Comput. Electron. Agr.,2010

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