Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data-Reference-Cited by-同舟云学术

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Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data

Published:2014-02 Issue: Volume:26 Page:12-20
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:

Duan Si-Bo,Li Zhao-Liang,Wu Hua,Tang Bo-Hui,Ma Lingling,Zhao Enyu,Li Chuanrong

Funder

Hi-Tech Research and Development Program of China (863 Plan Program)

State Key Laboratory of Resources and Environment Information System

Publisher

Elsevier BV

Subject

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

Reference53 articles.

1. Global synthesis of leaf area index observations: implications for ecological and remote sensing studies;Asner;Global Ecology and Biogeography,2003

2. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models;Atzberger;Remote Sensing of Environment,2004

3. Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery;Atzberger;Remote Sensing of Environment,2012

4. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: principles and validation;Bacour;Remote Sensing of Environment,2006

5. Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data;Bacour;Agronomie,2002

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