Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy

被引:0
|
作者
Sabrina Raddi
Francesca Giannetti
Sofia Martini
Fabio Farinella
Gherardo Chirici
Andrea Tani
Alberto Maltoni
Barbara Mariotti
机构
[1] Università degli Studi di Firenze,DAGRI Dipartimento di Scienze e Tecnologie dei Sistemi Agrari Alimentari e Forestali
来源
New Forests | 2022年 / 53卷
关键词
Forest seedlings; Multispectral NIR-camera; Leaf spectroscopy; Proximal sensing; Water-stress indices; Chlorophyll;
D O I
暂无
中图分类号
学科分类号
摘要
A user-friendly and affordable broad-band digital Near Infrared (NIR) camera (Canon PowerShot S110 NIR) was compared with a narrow-band reflectance spectrometer (USB2000, Ocean Optics) at leaf scale for monitoring changes in response to drought of three ecologically contrasting Quercus species (Q. robur, Q. pubescens, and Q. ilex). We aimed to (a) compare vegetation indices (VIs; that is: NDVI, Normalized Difference Vegetation Index; GNDVI, Green NDVI and NIRv, near-infrared reflectance of vegetation) retrieved by NIR-camera and spectrometer in order to test the reliability of a simple, low-cost, and rapid setup for widespread field applications; (b) to assess if NIR-camera VIs might be used to quantify water stress in oak seedlings; and (c) to track changes in leaf chlorophyll content. The study was carried out during a water stress test on 1-year-old seedlings in a greenhouse. The camera detected plant status in response to drought with results highly comparable to the visible/NIR (VIS/NIR) spectrometer (by calibration and standard geometry). Consistency between VIs and morpho-physiological traits was higher in Q. robur, the most drought-sensitive among the three species. Chlorophyll content was estimated with a high goodness-of-fit by VIs or reflectance bands in the visible range. Overall, NDVI performed better than GNDVI and NIRv, and VIs performed better than single bands. Looking forward, NIR-camera VIs are adequate for the early monitoring of drought stress in oak seedlings (or small trees) in the post-planting phase or in nursery settings, thus offering a new, reliable alternative for when costs are crucial, such as in the context of restoration programs.
引用
收藏
页码:241 / 265
页数:24
相关论文
共 50 条
  • [1] Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy
    Raddi, Sabrina
    Giannetti, Francesca
    Martini, Sofia
    Farinella, Fabio
    Chirici, Gherardo
    Tani, Andrea
    Maltoni, Alberto
    Mariotti, Barbara
    [J]. NEW FORESTS, 2022, 53 (02) : 241 - 265
  • [2] Research on the Chlorophyll Content (SPAD) Distribution Based on the Consumer-Grade Modified Near-Infrared Camera
    Zhang Jian
    Meng Jin
    Zhao Bi-quan
    Zhang Dong-yan
    Xie Jing
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38 (03) : 737 - 744
  • [3] Dataset of chlorophyll content estimation of Coffea Canephora using Red and Near-Infrared consumer-grade camera
    Putra, Bayu Taruna Widjaja
    Soni, Peeyush
    [J]. DATA IN BRIEF, 2018, 21 : 736 - 741
  • [4] POTENTIAL OF NEAR-INFRARED REFLECTANCE (NIR) SPECTROSCOPY FOR ESTIMATING NUTRIENT CONTENT OF DEHYDRATED VEGETABLES
    PARK, YW
    ANDERSON, MJ
    MAHONEY, AW
    [J]. JOURNAL OF FOOD SCIENCE, 1982, 47 (05) : 1558 - 1561
  • [5] Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing
    Flanagan, Kira
    Saikia, Manob Jyoti
    [J]. SENSORS, 2023, 23 (20)
  • [6] Near-infrared reflectance spectroscopy for noninvasive monitoring of metabolites
    Heise, HM
    Bittner, A
    Marbach, R
    [J]. CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2000, 38 (02) : 137 - 145
  • [7] USE OF NEAR-INFRARED REFLECTANCE SPECTROSCOPY (NIR) FOR ESTIMATING FORAGE QUALITY
    VALDES, EV
    WINCH, JE
    YOUNG, LG
    [J]. CANADIAN JOURNAL OF ANIMAL SCIENCE, 1983, 63 (04) : 1001 - 1002
  • [8] The Quality Control of Tea by Near-Infrared Reflectance (NIR) Spectroscopy and Chemometrics
    Zhu, Ming-Zhi
    Wen, Beibei
    Wu, Hao
    Li, Juan
    Lin, Haiyan
    Li, Qin
    Li, Yinhua
    Huang, Jianan
    Liu, Zhonghua
    [J]. JOURNAL OF SPECTROSCOPY, 2019, 2019
  • [9] Use of near-infrared reflectance spectroscopy to analyze vitamin content
    Pires, FF
    Lemos, MC
    Petersen, JC
    Kessler, AM
    [J]. JOURNAL OF APPLIED POULTRY RESEARCH, 2001, 10 (04): : 412 - 418
  • [10] DETECTION OF AFLATOXIN CONTAMINATED FIGS USING NEAR-INFRARED (NIR) REFLECTANCE SPECTROSCOPY
    Gunes, Ali
    Kalkan, Habil
    Durmus, Efkan
    Buyukcan, Mehmet Burak
    [J]. 2013 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO), 2013, : 123 - 126