Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO-Reference-Cited by-同舟云学术

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Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO

Published:2017-02 Issue: Volume:233 Page:209-221
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Yin Gaofei,Li Ainong,Jin Huaan,Zhao Wei,Bian Jinhu,Qu Yonghua,Zeng Yelu,Xu Baodong

Funder

National Natural Science Foundation of China

Open Fund of State Key Laboratory of Remote Sensing Science

China Postdoctoral Science Foundation

CAS “Light of West China” Program and the Youth Talent Team Program of Institute of Mountain Hazards and Environment

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference69 articles.

1. Neural network estimation of LAI, fAPAR, fCover and LAIxC(ab), from top of canopy MERIS reflectance data: principles and validation;Bacour;Remote Sens. Environ.,2006

2. GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5degrees zenith angle: theoretical considerations based on 3D architecture models and application to wheat crops;Baret;Agric. For. Meteorol.,2010

3. VALERI: A Network of Sites and a Methodology for the Validation of Medium Spatial Resolution Land Satellite Products;Baret,2012

4. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 1: principles of development and production;Baret;Remote Sens. Environ.,2013

5. Development of a spatio-temporal disaggregation method (DisNDVI) for generating a time series of fine resolution NDVI images;Bindhu;ISPRS J. Photogramm.,2015

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