Estimating leaf nitrogen concentration from similarities in fresh and dry leaf spectral bands using a model population analysis framework-Reference-Cited by-同舟云学术

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Estimating leaf nitrogen concentration from similarities in fresh and dry leaf spectral bands using a model population analysis framework

Published:2019-03-31 Issue:17 Volume:40 Page:6841-6860
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Masemola Cecilia¹²,Cho Moses Azong¹³

Affiliation:

1. Earth Observation Research Group, Natural Resources and Environment, Council for Scientific and Industrial Research, Pretoria, South Africa

2. College of Agriculture and Environmental Science, University of South Africa, Pretoria, South Africa

3. Forest Science Postgraduate Programme, Department of Plant and Soil Science, University of Pretoria, Pretoria, South Africa

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1597300

Reference39 articles.

1. Correction to the Description of Standard Normal Variate (SNV) and De-Trend (DT) Transformations in Practical Spectroscopy with Applications in Food and Beverage Analysis—2nd Edition

2. Hyperspectral remote sensing of plant pigments

3. Evaluating variations of physiology-based hyperspectral features along a soil water gradient in a Eucalyptus grandis plantation

4. Remote sensing of foliar chemistry

5. A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals

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1. Single- and Multiple-Adulterants Determinations of Goat Milk Powder by NIR Spectroscopy Combined with Chemometric Algorithms;Agriculture;2022-03-21

2. Hyperspectral remote sensing for foliar nutrient detection in forestry: A near-infrared perspective;Remote Sensing Applications: Society and Environment;2022-01

3. Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land;Remote Sensing;2021-12-24

4. Application of Spectral Key Variable Selection in Non-Destructive Detection of the Qualities of Agricultural Products and Food;SPECTROSC SPECT ANAL;2021

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