Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content-Reference-Cited by-同舟云学术

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Assessing a soil-removed semi-empirical model for estimating leaf chlorophyll content

Published:2022-12 Issue: Volume:282 Page:113284
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Li Dong,Chen Jing M.,Yu Weiguo,Zheng Hengbiao,Yao Xia,Cao Weixing,Wei Dandan,Xiao Chenchao,Zhu Yan,Cheng Tao

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference57 articles.

1. Biophysical and biochemical sources of variability in canopy reflectance;Asner;Remote Sens. Environ.,1998

2. TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation;Baret,1989

3. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: principles of development and production;Baret;Remote Sens. Environ.,2013

4. Hyperspectral remote sensing of leaf nitrogen concentration in cereal crops;Cheng,2018

5. Retrieval of canopy biophysical variables from bidirectional reflectance : using prior information to solve the ill-posed inverse problem;Combal;Remote Sens. Environ.,2003

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3. Design and implementation of a portable snapshot multispectral imaging crop-growth sensor;Frontiers in Plant Science;2024-08-26

4. Intercomparison and validation of five existing leaf chlorophyll content products over China;International Journal of Applied Earth Observation and Geoinformation;2024-06

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