Hyperspectral indices developed from the low order fractional derivative spectra can capture leaf dry matter content across a variety of species better-Reference-Cited by-同舟云学术

Hyperspectral indices developed from the low order fractional derivative spectra can capture leaf dry matter content across a variety of species better

Published:2022-07 Issue: Volume:322 Page:109007
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Jin Jia^ORCID,Wang Quan^ORCID

Funder

Shizuoka University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference56 articles.

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4. Identifying optimal spectral bands from in situ measurements of Great Lakes coastal wetlands using second-derivative analysis;Becker;Remote Sens. Environ.,2005

5. Quantifying leaf chlorophyll concentration of sorghum from hyperspectral data using derivative calculus and machine learning;Bhadra;Remote Sens. (Basel),2020

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